default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTrevor Darrell
Person information
- affiliation: University of California, Berkeley, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[i293]Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell:
AutoPresent: Designing Structured Visuals from Scratch. CoRR abs/2501.00912 (2025)- 2024
- [j50]Ilija Radosavovic
, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath:
Real-world humanoid locomotion with reinforcement learning. Sci. Robotics 9(89) (2024) - [j49]Long Lian, Boyi Li, Adam Yala, Trevor Darrell:
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c433]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110 - [c432]Evonne Ng, Javier Romero, Timur M. Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard:
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations. CVPR 2024: 1001-1010 - [c431]Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra:
InstanceDiffusion: Instance-Level Control for Image Generation. CVPR 2024: 6232-6242 - [c430]Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell:
Self-Correcting LLM-Controlled Diffusion Models. CVPR 2024: 6327-6336 - [c429]Grace Luo, Trevor Darrell, Oliver Wang, Dan B. Goldman, Aleksander Holynski:
Readout Guidance: Learning Control from Diffusion Features. CVPR 2024: 8217-8227 - [c428]Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi:
PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor. CVPR 2024: 8609-8618 - [c427]Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell:
See, Say, and Segment: Teaching LMMs to Overcome False Premises. CVPR 2024: 13459-13469 - [c426]Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig:
Compositional Chain-of-Thought Prompting for Large Multimodal Models. CVPR 2024: 14420-14431 - [c425]Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell:
Unsupervised Universal Image Segmentation. CVPR 2024: 22744-22754 - [c424]Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell:
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. CVPR 2024: 22755-22764 - [c423]Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. CVPR 2024: 22861-22872 - [c422]Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy:
Describing Differences in Image Sets with Natural Language. CVPR 2024: 24199-24208 - [c421]Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell:
Recursive Visual Programming. ECCV (43) 2024: 1-18 - [c420]Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar:
Finding Visual Task Vectors. ECCV (43) 2024: 257-273 - [c419]Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell:
EgoPet: Egomotion and Interaction Data from an Animal's Perspective. ECCV (37) 2024: 377-394 - [c418]Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell:
When Do We Not Need Larger Vision Models? ECCV (8) 2024: 444-462 - [c417]Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig:
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering. EMNLP 2024: 9740-9766 - [c416]Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li:
LLM-grounded Video Diffusion Models. ICLR 2024 - [c415]Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 2024 - [c414]Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell:
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. ICLR 2024 - [c413]Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu:
Initializing Models with Larger Ones. ICLR 2024 - [c412]Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun:
Stochastic positional embeddings improve masked image modeling. ICML 2024 - [c411]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster:
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. ICML 2024 - [c410]Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso:
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift. ICML 2024 - [c409]Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam:
xT: Nested Tokenization for Larger Context in Large Images. ICML 2024 - [c408]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c407]Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph Gonzalez, Trevor Darrell:
ALOHa: A New Measure for Hallucination in Captioning Models. NAACL (Short Papers) 2024: 342-357 - [c406]Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein:
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. NAACL-HLT (Findings) 2024: 1113-1123 - [c405]Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason:
Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. NAACL-HLT 2024: 3177-3189 - [c404]Xudong Wang, Jingfeng Yang, Trevor Darrell:
Segment Anything without Supervision. NeurIPS 2024 - [c403]Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky:
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. NeurIPS 2024 - [c402]Brandon Huang, Chancharik Mitra, Leonid Karlinsky, Assaf Arbelle, Trevor Darrell, Roei Herzig:
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. NeurIPS 2024 - [c401]Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik:
Humanoid Locomotion as Next Token Prediction. NeurIPS 2024 - [c400]Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola:
When does perceptual alignment benefit vision representations? NeurIPS 2024 - [c399]Marissa Ramirez de Chanlatte, Phillip Colella, Trevor Darrell, Alexandra Carlson, Peter H. N. de With, Huayu Deng, Shanyan Guan, James Hays, Tim Houben, Thomas Huisman, Nikita Jaipuria, Hans Johansen, Shuja Khalid, Akshay Krishnan, Chuming Li, Maxim Pisarenco, Amit Raj, Frank Rudzicz, Tim J. Schoonbeek, Sandhya Sridhar, Nathan Tseng, Fons van der Sommen, Chen Wang, Yunbo Wang, Tong Wu, Xiaokang Yang, Jiawei Yao, Derek Young, Xianling Zhang:
Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. WACV (Workshops) 2024: 762-766 - [c398]Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell:
Shape-Guided Diffusion with Inside-Outside Attention. WACV 2024: 4186-4195 - [c397]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. WACV 2024: 5644-5655 - [c396]Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Simple Token-Level Confidence Improves Caption Correctness. WACV 2024: 5730-5740 - [c395]Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson:
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. WACV 2024: 6789-6801 - [i292]Evonne Ng, Javier Romero, Timur M. Bagautdinov, Shaojie Bai, Trevor Darrell, Angjoo Kanazawa, Alexander Richard:
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations. CoRR abs/2401.01885 (2024) - [i291]Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg:
Rethinking Patch Dependence for Masked Autoencoders. CoRR abs/2401.14391 (2024) - [i290]Xudong Wang, Trevor Darrell, Sai Saketh Rambhatla, Rohit Girdhar, Ishan Misra:
InstanceDiffusion: Instance-level Control for Image Generation. CoRR abs/2402.03290 (2024) - [i289]Kai Wang, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You:
Neural Network Diffusion. CoRR abs/2402.13144 (2024) - [i288]Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik:
Humanoid Locomotion as Next Token Prediction. CoRR abs/2402.19469 (2024) - [i287]Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam:
xT: Nested Tokenization for Larger Context in Large Images. CoRR abs/2403.01915 (2024) - [i286]Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell:
When Do We Not Need Larger Vision Models? CoRR abs/2403.13043 (2024) - [i285]Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig:
TraveLER: A Multi-LMM Agent Framework for Video Question-Answering. CoRR abs/2404.01476 (2024) - [i284]Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph E. Gonzalez, Trevor Darrell:
ALOHa: A New Measure for Hallucination in Captioning Models. CoRR abs/2404.02904 (2024) - [i283]Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar:
Finding Visual Task Vectors. CoRR abs/2404.05729 (2024) - [i282]Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell:
EgoPet: Egomotion and Interaction Data from an Animal's Perspective. CoRR abs/2404.09991 (2024) - [i281]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster:
Near to Mid-term Risks and Opportunities of Open Source Generative AI. CoRR abs/2404.17047 (2024) - [i280]Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell:
Pose Priors from Language Models. CoRR abs/2405.03689 (2024) - [i279]Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Thomas Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster:
Risks and Opportunities of Open-Source Generative AI. CoRR abs/2405.08597 (2024) - [i278]Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky:
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR abs/2406.08164 (2024) - [i277]Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig:
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning. CoRR abs/2406.11815 (2024) - [i276]Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogério Feris, Leonid Karlinsky:
Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems. CoRR abs/2406.12172 (2024) - [i275]Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig:
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. CoRR abs/2406.15334 (2024) - [i274]Xudong Wang, Jingfeng Yang, Trevor Darrell:
Segment Anything without Supervision. CoRR abs/2406.20081 (2024) - [i273]Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan:
Visual Haystacks: Answering Harder Questions About Sets of Images. CoRR abs/2407.13766 (2024) - [i272]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i271]Tsung-Han Wu, Joseph E. Gonzalez, Trevor Darrell, David M. Chan:
CLAIR-A: Leveraging Large Language Models to Judge Audio Captions. CoRR abs/2409.12962 (2024) - [i270]Ritwik Gupta, Leah Walker, Rodolfo Corona, Stephanie Fu, Suzanne Petryk, Janet Napolitano, Trevor Darrell, Andrew W. Reddie:
Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies. CoRR abs/2409.17216 (2024) - [i269]Ilija Radosavovic, Sarthak Kamat, Trevor Darrell, Jitendra Malik:
Learning Humanoid Locomotion over Challenging Terrain. CoRR abs/2410.03654 (2024) - [i268]Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang:
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion. CoRR abs/2410.03825 (2024) - [i267]Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola:
When Does Perceptual Alignment Benefit Vision Representations? CoRR abs/2410.10817 (2024) - [i266]Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig:
In-Context Learning Enables Robot Action Prediction in LLMs. CoRR abs/2410.12782 (2024) - [i265]Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez:
VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models. CoRR abs/2410.12851 (2024) - [i264]Xudong Wang, Shaolun Zhang, Shufan Li, Konstantinos Kallidromitis, Kehan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell:
SegLLM: Multi-round Reasoning Segmentation. CoRR abs/2410.18923 (2024) - [i263]Leander Girrbach, Yiran Huang, Stephan Alaniz, Trevor Darrell, Zeynep Akata:
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). CoRR abs/2410.19314 (2024) - [i262]Grace Luo, Trevor Darrell, Amir Bar:
Task Vectors are Cross-Modal. CoRR abs/2410.22330 (2024) - [i261]David M. Chan, Rodolfo Corona, Joonyong Park, Cheol Jun Cho, Yutong Bai, Trevor Darrell:
Analyzing The Language of Visual Tokens. CoRR abs/2411.05001 (2024) - [i260]Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig:
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. CoRR abs/2412.00142 (2024) - [i259]Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun:
Navigation World Models. CoRR abs/2412.03572 (2024) - [i258]Xudong Wang, Xingyi Zhou, Alireza Fathi, Trevor Darrell, Cordelia Schmid:
Visual Lexicon: Rich Image Features in Language Space. CoRR abs/2412.06774 (2024) - [i257]Christopher Chou, Lisa Dunlap, Koki Mashita, Krishna Mandal, Trevor Darrell, Ion Stoica, Joseph E. Gonzalez, Wei-Lin Chiang:
VisionArena: 230K Real World User-VLM Conversations with Preference Labels. CoRR abs/2412.08687 (2024) - 2023
- [j48]Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun:
Monocular Quasi-Dense 3D Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1992-2008 (2023) - [j47]Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell:
Exploring Simple and Transferable Recognition-Aware Image Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3032-3046 (2023) - [j46]Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15380-15393 (2023) - [c394]Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. ACL (2) 2023: 747-761 - [c393]Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik:
Robot Learning with Sensorimotor Pre-training. CoRL 2023: 683-693 - [c392]Baifeng Shi, Trevor Darrell, Xin Wang:
Top-Down Visual Attention from Analysis by Synthesis. CVPR 2023: 2102-2112 - [c391]Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang:
Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR 2023: 11786-11796 - [c390]Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li:
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. EMNLP 2023: 1173-1185 - [c389]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. EMNLP (Findings) 2023: 11329-11344 - [c388]David M. Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny:
CLAIR: Evaluating Image Captions with Large Language Models. EMNLP 2023: 13638-13646 - [c387]Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson:
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. EMNLP 2023: 14077-14098 - [c386]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. ICCV 2023: 4065-4076 - [c385]Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? ICCV 2023: 10049-10059 - [c384]Sarthak Kamat, Shruti Agarwal, Trevor Darrell, Anna Rohrbach:
Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer. ICCV (Workshops) 2023: 426-435 - [c383]Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach:
Using Language to Extend to Unseen Domains. ICLR 2023 - [c382]Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas:
Guiding Pretraining in Reinforcement Learning with Large Language Models. ICML 2023: 8657-8677 - [c381]Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell:
Dropout Reduces Underfitting. ICML 2023: 22233-22248 - [c380]Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell:
Hierarchical Open-vocabulary Universal Image Segmentation. NeurIPS 2023 - [c379]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. NeurIPS 2023 - [c378]Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell:
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation. NeurIPS 2023 - [c377]Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell:
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence. NeurIPS 2023 - [c376]Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell:
More Control for Free! Image Synthesis with Semantic Diffusion Guidance. WACV 2023: 289-299 - [c375]Shruti Agarwal, Liwen Hu, Evonne Ng, Trevor Darrell, Hao Li, Anna Rohrbach:
Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion. WACV 2023: 4699-4708 - [i256]Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas:
Guiding Pretraining in Reinforcement Learning with Large Language Models. CoRR abs/2302.06692 (2023) - [i255]Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell:
Dropout Reduces Underfitting. CoRR abs/2303.01500 (2023) - [i254]Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath:
Learning Humanoid Locomotion with Transformers. CoRR abs/2303.03381 (2023) - [i253]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR abs/2303.07226 (2023) - [i252]Baifeng Shi, Trevor Darrell, Xin Wang:
Top-Down Visual Attention from Analysis by Synthesis. CoRR abs/2303.13043 (2023) - [i251]Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell:
Learning and Verification of Task Structure in Instructional Videos. CoRR abs/2303.13519 (2023) - [i250]Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi:
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models. CoRR abs/2303.17546 (2023) - [i249]Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson:
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. CoRR abs/2305.06343 (2023) - [i248]Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Simple Token-Level Confidence Improves Caption Correctness. CoRR abs/2305.07021 (2023) - [i247]Long Lian, Boyi Li, Adam Yala, Trevor Darrell:
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. CoRR abs/2305.13655 (2023) - [i246]Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell:
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence. CoRR abs/2305.14334 (2023) - [i245]Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR abs/2305.14705 (2023) - [i244]Baifeng Shi, Siyu Gai, Trevor Darrell, Xin Wang:
Refocusing Is Key to Transfer Learning. CoRR abs/2305.15542 (2023) - [i243]Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell:
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation. CoRR abs/2305.16289 (2023) - [i242]Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. CoRR abs/2306.05392 (2023) - [i241]Shizhan Zhu, Shunsuke Saito, Aljaz Bozic, Carlos Aliaga, Trevor Darrell, Christoph Lassner:
Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient. CoRR abs/2306.09322 (2023) - [i240]Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik:
Robot Learning with Sensorimotor Pre-training. CoRR abs/2306.10007 (2023) - [i239]Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell:
Hierarchical Open-vocabulary Universal Image Segmentation. CoRR abs/2307.00764 (2023) - [i238]Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun:
Predicting masked tokens in stochastic locations improves masked image modeling. CoRR abs/2308.00566 (2023) - [i237]Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar:
Can Language Models Learn to Listen? CoRR abs/2308.10897 (2023) - [i236]Xudong Wang, Ishan Misra, Ziyun Zeng, Rohit Girdhar, Trevor Darrell:
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. CoRR abs/2308.14710 (2023) - [i235]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - [i234]Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li:
LLM-grounded Video Diffusion Models. CoRR abs/2309.17444 (2023) - [i233]David M. Chan, Suzanne Petryk, Joseph E. Gonzalez, Trevor Darrell, John F. Canny:
CLAIR: Evaluating Image Captions with Large Language Models. CoRR abs/2310.12971 (2023) - [i232]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. CoRR abs/2310.15166 (2023) - [i231]Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell:
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. CoRR abs/2311.01011 (2023) - [i230]Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu:
A Coefficient Makes SVRG Effective. CoRR abs/2311.05589 (2023) - [i229]Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason:
Comparative Multi-View Language Grounding. CoRR abs/2311.06694 (2023) - [i228]Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li:
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. CoRR abs/2311.12391 (2023) - [i227]Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell:
Self-correcting LLM-controlled Diffusion Models. CoRR abs/2311.16090 (2023) - [i226]Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig:
Compositional Chain-of-Thought Prompting for Large Multimodal Models. CoRR abs/2311.17076 (2023) - [i225]Dantong Niu, Amir Bar, Roei Herzig, Trevor Darrell, Anna Rohrbach:
Object-based (yet Class-agnostic) Video Domain Adaptation. CoRR abs/2311.17942 (2023) - [i224]Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu:
Initializing Models with Larger Ones. CoRR abs/2311.18823 (2023) - [i223]Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. CoRR abs/2312.00785 (2023) - [i222]Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang:
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. CoRR abs/2312.01771 (2023) - [i221]Grace Luo, Trevor Darrell, Oliver Wang, Dan B. Goldman, Aleksander Holynski:
Readout Guidance: Learning Control from Diffusion Features. CoRR abs/2312.02150 (2023) - [i220]Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell:
Recursive Visual Programming. CoRR abs/2312.02249 (2023) - [i219]Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy:
Describing Differences in Image Sets with Natural Language. CoRR abs/2312.02974 (2023) - [i218]Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell:
See, Say, and Segment: Teaching LMMs to Overcome False Premises. CoRR abs/2312.08366 (2023) - [i217]Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell:
Unsupervised Universal Image Segmentation. CoRR abs/2312.17243 (2023) - 2022
- [c374]Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing:
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. AAAI 2022: 2216-2224 - [c373]Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell:
Voxel-informed Language Grounding. ACL (2) 2022: 54-60 - [c372]Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) 2022: 5198-5215 - [c371]Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. CoRL 2022: 416-426 - [c370]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CVPR 2022: 295-305 - [c369]Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson:
Object-Region Video Transformers. CVPR 2022: 3138-3149 - [c368]Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CVPR 2022: 11966-11976 - [c367]Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson:
DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CVPR 2022: 14585-14595 - [c366]Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach:
On Guiding Visual Attention with Language Specification. CVPR 2022: 18071-18081 - [c365]Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar:
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. CVPR 2022: 20363-20373 - [c364]Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. ECCV (36) 2022: 148-166 - [c363]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. ECCV (24) 2022: 268-284 - [c362]Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs Through the Lens of Race. ECCV (13) 2022: 344-360 - [c361]Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. ECCV (34) 2022: 540-557 - [c360]Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach:
G3: Geolocation via Guidebook Grounding. EMNLP (Findings) 2022: 5841-5853 - [c359]Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer:
Anytime Dense Prediction with Confidence Adaptivity. ICLR 2022 - [c358]Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell:
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image. ICLR 2022 - [c357]Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell:
Zero-Shot Reward Specification via Grounded Natural Language. ICML 2022: 14743-14752 - [c356]Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang:
Visual Attention Emerges from Recurrent Sparse Reconstruction. ICML 2022: 20041-20056 - [c355]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS 2022: 10410-10416 - [c354]Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. NAACL-HLT 2022: 559-572 - [c353]Giscard Biamby, Grace Luo, Trevor Darrell, Anna Rohrbach:
Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation. NAACL-HLT 2022: 1530-1549 - [c352]Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach:
Exposing the Limits of Video-Text Models through Contrast Sets. NAACL-HLT 2022: 3574-3586 - [c351]Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros:
Visual Prompting via Image Inpainting. NeurIPS 2022 - [c350]Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson:
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. NeurIPS 2022 - [c349]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS 2022 - [c348]Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. WACV 2022: 507-516 - [c347]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [i216]Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CoRR abs/2201.03545 (2022) - [i215]Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan A. Plummer, Kate Saenko:
Explaining Reinforcement Learning Policies through Counterfactual Trajectories. CoRR abs/2201.12462 (2022) - [i214]Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach:
On Guiding Visual Attention with Language Specification. CoRR abs/2202.08926 (2022) - [i213]Tete Xiao, Ilija Radosavovic, Trevor Darrell, Jitendra Malik:
Masked Visual Pre-training for Motor Control. CoRR abs/2203.06173 (2022) - [i212]Olivia Watkins, Trevor Darrell, Pieter Abbeel, Jacob Andreas, Abhishek Gupta:
Teachable Reinforcement Learning via Advice Distillation. CoRR abs/2203.11197 (2022) - [i211]Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR abs/2204.05991 (2022) - [i210]Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar:
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. CoRR abs/2204.08451 (2022) - [i209]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR abs/2204.09222 (2022) - [i208]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CoRR abs/2204.10377 (2022) - [i207]Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang:
Visual Attention Emerges from Recurrent Sparse Reconstruction. CoRR abs/2204.10962 (2022) - [i206]Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach:
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. CoRR abs/2204.13631 (2022) - [i205]Rodolfo Corona, Shizhan Zhu, Dan Klein, Trevor Darrell:
Voxel-informed Language Grounding. CoRR abs/2205.09710 (2022) - [i204]Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson:
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. CoRR abs/2206.06346 (2022) - [i203]Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson:
Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. CoRR abs/2206.07689 (2022) - [i202]Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. CoRR abs/2207.01708 (2022) - [i201]Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang:
Back to the Source: Diffusion-Driven Test-Time Adaptation. CoRR abs/2207.03442 (2022) - [i200]Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. CoRR abs/2208.06773 (2022) - [i199]Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed:
Refine and Represent: Region-to-Object Representation Learning. CoRR abs/2208.11821 (2022) - [i198]Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros:
Visual Prompting via Image Inpainting. CoRR abs/2209.00647 (2022) - [i197]Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs through the Lens of Race. CoRR abs/2209.02836 (2022) - [i196]Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed:
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR abs/2209.03745 (2022) - [i195]Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre M. Bayen:
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset. CoRR abs/2209.08763 (2022) - [i194]Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. CoRR abs/2210.03109 (2022) - [i193]Tobias Fischer, Jiangmiao Pang, Thomas E. Huang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. CoRR abs/2210.06984 (2022) - [i192]Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach:
Using Language to Extend to Unseen Domains. CoRR abs/2210.09520 (2022) - [i191]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. CoRR abs/2211.11720 (2022) - [i190]Grace Luo, Giscard Biamby, Trevor Darrell, Daniel Fried, Anna Rohrbach:
G^3: Geolocation via Guidebook Grounding. CoRR abs/2211.15521 (2022) - [i189]Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell:
Shape-Guided Diffusion with Inside-Outside Attention. CoRR abs/2212.00210 (2022) - [i188]Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson:
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. CoRR abs/2212.04821 (2022) - [i187]Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein:
Does unsupervised grammar induction need pixels? CoRR abs/2212.10564 (2022) - [i186]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. CoRR abs/2212.14532 (2022) - 2021
- [c346]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI 2021: 3500-3509 - [c345]Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Similarity Learning for Multiple Object Tracking. CVPR 2021: 164-173 - [c344]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao:
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. CVPR 2021: 1104-1113 - [c343]Colorado J. Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning. CVPR 2021: 2674-2683 - [c342]Evonne Ng, Shiry Ginosar, Trevor Darrell, Hanbyul Joo:
Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics. CVPR 2021: 11865-11874 - [c341]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR 2021: 13834-13844 - [c340]Grace Luo, Trevor Darrell, Anna Rohrbach:
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media. EMNLP (1) 2021: 6801-6817 - [c339]Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. ICCV 2021: 1114-1124 - [c338]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. ICCV 2021: 8002-8012 - [c337]Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang:
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning. ICCV 2021: 9042-9051 - [c336]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV 2021: 9123-9132 - [c335]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. ICCV 2021: 9164-9173 - [c334]Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell:
Rethinking preventing class-collapsing in metric learning with margin-based losses. ICCV 2021: 10296-10305 - [c333]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. ICCV 2021: 10519-10528 - [c332]Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell:
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. ICLR 2021 - [c331]Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell:
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. ICLR 2021 - [c330]Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao:
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. ICLR 2021 - [c329]Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell:
Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR 2021 - [c328]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. ICLR 2021 - [c327]Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson:
Compositional Video Synthesis with Action Graphs. ICML 2021: 662-673 - [c326]Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. ICRA 2021: 1290-1296 - [c325]Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu:
Instance-Aware Predictive Navigation in Multi-Agent Environments. ICRA 2021: 5096-5102 - [c324]Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation. ICRA 2021: 10786-10792 - [c323]Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
PyTouch: A Machine Learning Library for Touch Processing. ICRA 2021: 13208-13214 - [c322]Guanhua Wang, Zhuang Liu, Brandon Hsieh, Siyuan Zhuang, Joseph Gonzalez, Trevor Darrell, Ion Stoica:
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data. MLSys 2021 - [c321]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modular Networks for Compositional Instruction Following. NAACL-HLT 2021: 1033-1040 - [c320]Medhini Narasimhan, Anna Rohrbach, Trevor Darrell:
CLIP-It! Language-Guided Video Summarization. NeurIPS 2021: 13988-14000 - [c319]Dong Huk Park, Samaneh Azadi, Xihui Liu, Trevor Darrell, Anna Rohrbach:
Benchmark for Compositional Text-to-Image Synthesis. NeurIPS Datasets and Benchmarks 2021 - [c318]Olivia Watkins, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Jacob Andreas:
Teachable Reinforcement Learning via Advice Distillation. NeurIPS 2021: 6920-6933 - [c317]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. NeurIPS 2021: 30392-30400 - [i185]Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu:
Instance-Aware Predictive Navigation in Multi-Agent Environments. CoRR abs/2101.05893 (2021) - [i184]Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun:
Monocular Quasi-Dense 3D Object Tracking. CoRR abs/2103.07351 (2021) - [i183]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i182]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. CoRR abs/2103.12902 (2021) - [i181]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR abs/2103.16765 (2021) - [i180]Zhuang Liu, Trevor Darrell, Evan Shelhamer:
Confidence Adaptive Anytime Pixel-Level Recognition. CoRR abs/2104.00749 (2021) - [i179]Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. CoRR abs/2104.02687 (2021) - [i178]Grace Luo, Trevor Darrell, Anna Rohrbach:
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media. CoRR abs/2104.05893 (2021) - [i177]Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. CoRR abs/2104.07662 (2021) - [i176]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR abs/2104.08381 (2021) - [i175]Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell:
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. CoRR abs/2105.08714 (2021) - [i174]Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
PyTouch: A Machine Learning Library for Touch Processing. CoRR abs/2105.12791 (2021) - [i173]Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra:
Towards Learning to Play Piano with Dexterous Hands and Touch. CoRR abs/2106.02040 (2021) - [i172]Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson:
DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CoRR abs/2106.04550 (2021) - [i171]Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollár, Ross B. Girshick:
Early Convolutions Help Transformers See Better. CoRR abs/2106.14881 (2021) - [i170]Medhini Narasimhan, Anna Rohrbach, Trevor Darrell:
CLIP-It! Language-Guided Video Summarization. CoRR abs/2107.00650 (2021) - [i169]Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. CoRR abs/2107.03315 (2021) - [i168]Michael Laielli, Giscard Biamby, Dian Chen, Adam Loeffler, Phat Dat Nguyen, Ross Luo, Trevor Darrell, Sayna Ebrahimi:
Region-level Active Learning for Cluttered Scenes. CoRR abs/2108.09186 (2021) - [i167]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. CoRR abs/2108.10860 (2021) - [i166]Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell:
On-target Adaptation. CoRR abs/2109.01087 (2021) - [i165]Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson:
Object-Region Video Transformers. CoRR abs/2110.06915 (2021) - [i164]Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao:
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. CoRR abs/2110.15797 (2021) - [i163]Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. CoRR abs/2112.01698 (2021) - [i162]Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell:
More Control for Free! Image Synthesis with Semantic Diffusion Guidance. CoRR abs/2112.05744 (2021) - [i161]Giscard Biamby, Grace Luo, Trevor Darrell, Anna Rohrbach:
Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation. CoRR abs/2112.08594 (2021) - [i160]Shruti Agarwal, Liwen Hu, Evonne Ng, Trevor Darrell, Hao Li, Anna Rohrbach:
Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion. CoRR abs/2112.10936 (2021) - 2020
- [j45]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN: Learning Image-Conditional Binary Composition. Int. J. Comput. Vis. 128(10): 2570-2585 (2020) - [j44]Marcel Simon, Erik Rodner, Trevor Darrell, Joachim Denzler:
The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 749-763 (2020) - [c316]Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. CVPR 2020: 1046-1056 - [c315]Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. CVPR 2020: 2633-2642 - [c314]Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, John F. Canny:
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules. CVPR 2020: 9658-9667 - [c313]Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach:
Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA. CVPR 2020: 9989-9999 - [c312]Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu:
Learning Saliency Propagation for Semi-Supervised Instance Segmentation. CVPR 2020: 10304-10313 - [c311]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-Based Networks for Motion Synthesis. ECCV (11) 2020: 178-194 - [c310]Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson:
Learning Canonical Representations for Scene Graph to Image Generation. ECCV (26) 2020: 210-227 - [c309]Jae Sung Park, Trevor Darrell, Anna Rohrbach:
Identity-Aware Multi-sentence Video Description. ECCV (21) 2020: 360-378 - [c308]Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. ECCV (11) 2020: 386-402 - [c307]Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh:
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation. ECCV (18) 2020: 513-529 - [c306]Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu:
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. ECCV (29) 2020: 729-745 - [c305]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. ICLR 2020 - [c304]Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. ICML 2020: 9919-9928 - [c303]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. ICML 2020: 10628-10637 - [c302]Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal:
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. ICRA 2020: 4051-4058 - [c301]Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli:
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots. IV 2020: 1170-1175 - [c300]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. NeurIPS 2020 - [c299]Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao:
Fighting Copycat Agents in Behavioral Cloning from Observation Histories. NeurIPS 2020 - [i159]Yinbo Chen, Xiaolong Wang, Zhuang Liu, Huijuan Xu, Trevor Darrell:
A New Meta-Baseline for Few-Shot Learning. CoRR abs/2003.04390 (2020) - [i158]Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell:
Rethinking Image Mixture for Unsupervised Visual Representation Learning. CoRR abs/2003.05438 (2020) - [i157]Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. CoRR abs/2003.06957 (2020) - [i156]Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. CoRR abs/2003.09553 (2020) - [i155]Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell:
Revisiting Few-shot Activity Detection with Class Similarity Control. CoRR abs/2004.00137 (2020) - [i154]Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu:
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. CoRR abs/2004.00163 (2020) - [i153]Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell:
Spatio-Temporal Action Detection with Multi-Object Interaction. CoRR abs/2004.00180 (2020) - [i152]Viktoriia Sharmanska, Lisa Anne Hendricks, Trevor Darrell, Novi Quadrianto:
Contrastive Examples for Addressing the Tyranny of the Majority. CoRR abs/2004.06524 (2020) - [i151]Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli:
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots. CoRR abs/2004.10293 (2020) - [i150]Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell:
Reducing Class Collapse in Metric Learning with Easy Positive Sampling. CoRR abs/2006.05162 (2020) - [i149]Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Instance Similarity Learning. CoRR abs/2006.06664 (2020) - [i148]Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell:
Fully Test-time Adaptation by Entropy Minimization. CoRR abs/2006.10726 (2020) - [i147]Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson:
Compositional Video Synthesis with Action Graphs. CoRR abs/2006.15327 (2020) - [i146]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. CoRR abs/2007.01738 (2020) - [i145]Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh:
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation. CoRR abs/2007.09841 (2020) - [i144]Evonne Ng, Hanbyul Joo, Shiry Ginosar, Trevor Darrell:
Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics. CoRR abs/2007.12287 (2020) - [i143]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. CoRR abs/2008.05659 (2020) - [i142]Jae Sung Park, Trevor Darrell, Anna Rohrbach:
Identity-Aware Multi-Sentence Video Description. CoRR abs/2008.09791 (2020) - [i141]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-based Networks for Motion Synthesis. CoRR abs/2008.10162 (2020) - [i140]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. CoRR abs/2009.03456 (2020) - [i139]Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
Evaluating Self-Supervised Pretraining Without Using Labels. CoRR abs/2009.07724 (2020) - [i138]Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell:
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. CoRR abs/2010.01528 (2020) - [i137]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao:
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. CoRR abs/2010.04647 (2020) - [i136]Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Auxiliary Task Reweighting for Minimum-data Learning. CoRR abs/2010.08244 (2020) - [i135]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modularity Improves Out-of-Domain Instruction Following. CoRR abs/2010.12764 (2020) - [i134]Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao:
Fighting Copycat Agents in Behavioral Cloning from Observation Histories. CoRR abs/2010.14876 (2020) - [i133]Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. CoRR abs/2011.11893 (2020) - [i132]Sayna Ebrahimi, William Gan, Kamyar Salahi, Trevor Darrell:
Minimax Active Learning. CoRR abs/2012.10467 (2020)
2010 – 2019
- 2019
- [c298]Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. ACL (1) 2019: 6551-6557 - [c297]Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach:
Adversarial Inference for Multi-Sentence Video Description. CVPR Workshops 2019: 0 - [c296]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero-Shot Learning via Aligned Variational Autoencoders. CVPR Workshops 2019: 54-57 - [c295]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. CVPR Workshops 2019: 75-78 - [c294]Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. CVPR Workshops 2019: 118-127 - [c293]Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. CVPR Workshops 2019: 1307-1316 - [c292]Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez:
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. CVPR 2019: 1831-1840 - [c291]Zhichao Yin, Trevor Darrell, Fisher Yu:
Hierarchical Discrete Distribution Decomposition for Match Density Estimation. CVPR 2019: 6044-6053 - [c290]Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach:
Adversarial Inference for Multi-Sentence Video Description. CVPR 2019: 6598-6608 - [c289]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019: 8247-8255 - [c288]Dong Huk Park, Trevor Darrell, Anna Rohrbach:
Robust Change Captioning. ICCV 2019: 4623-4632 - [c287]Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. ICCV 2019: 5389-5398 - [c286]Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. ICCV 2019: 5971-5980 - [c285]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-Supervised Domain Adaptation via Minimax Entropy. ICCV 2019: 8049-8057 - [c284]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-Shot Object Detection via Feature Reweighting. ICCV 2019: 8419-8428 - [c283]Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. ICCV 2019: 9005-9014 - [c282]Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko:
Language-Conditioned Graph Networks for Relational Reasoning. ICCV 2019: 10293-10302 - [c281]Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell:
Spatio-Temporal Action Graph Networks. ICCV Workshops 2019: 2347-2356 - [c280]Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian J. Goodfellow, Augustus Odena:
Discriminator Rejection Sampling. ICLR (Poster) 2019 - [c279]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. DGS@ICLR 2019 - [c278]Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. ICLR (Poster) 2019 - [c277]Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell:
Rethinking the Value of Network Pruning. ICLR (Poster) 2019 - [c276]Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma:
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. ICLR (Poster) 2019 - [c275]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object-Centric Policies for Autonomous Driving. ICRA 2019: 8853-8859 - [c274]Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. IROS 2019: 2876-2883 - [c273]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. NeurIPS 2019: 2292-2302 - [c272]Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Compositional Plan Vectors. NeurIPS 2019: 14963-14974 - [c271]Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez:
Deep Mixture of Experts via Shallow Embedding. UAI 2019: 552-562 - [c270]Michael Laielli, James Smith, Giscard Biamby, Trevor Darrell, Bjoern Hartmann:
LabelAR: A Spatial Guidance Interface for Fast Computer Vision Image Collection. UIST 2019: 987-998 - [i131]Dong Huk Park, Trevor Darrell, Anna Rohrbach:
Viewpoint Invariant Change Captioning. CoRR abs/1901.02527 (2019) - [i130]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. CoRR abs/1902.05546 (2019) - [i129]Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. CoRR abs/1904.00370 (2019) - [i128]Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez:
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. CoRR abs/1904.05967 (2019) - [i127]Kuniaki Saito, Donghyun Kim, Stan Sclaroff, Trevor Darrell, Kate Saenko:
Semi-supervised Domain Adaptation via Minimax Entropy. CoRR abs/1904.06487 (2019) - [i126]Evan Shelhamer, Dequan Wang, Trevor Darrell:
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. CoRR abs/1904.11487 (2019) - [i125]Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell:
Accurate Visual Localization for Automotive Applications. CoRR abs/1905.03706 (2019) - [i124]Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko:
Language-Conditioned Graph Networks for Relational Reasoning. CoRR abs/1905.04405 (2019) - [i123]Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. CoRR abs/1905.06937 (2019) - [i122]Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation. CoRR abs/1906.00347 (2019) - [i121]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. CoRR abs/1906.02425 (2019) - [i120]Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez:
Task-Aware Deep Sampling for Feature Generation. CoRR abs/1906.04854 (2019) - [i119]Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell:
Dynamic Scale Inference by Entropy Minimization. CoRR abs/1908.03182 (2019) - [i118]Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros:
Unsupervised Domain Adaptation through Self-Supervision. CoRR abs/1909.11825 (2019) - [i117]Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization. CoRR abs/1910.08143 (2019) - [i116]Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell:
Transferable Recognition-Aware Image Processing. CoRR abs/1910.09185 (2019) - [i115]Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell:
Regularization Matters in Policy Optimization. CoRR abs/1910.09191 (2019) - [i114]Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control. CoRR abs/1910.14033 (2019) - [i113]Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach:
Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA. CoRR abs/1911.06258 (2019) - [i112]Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic:
Semantic Bottleneck Scene Generation. CoRR abs/1911.11357 (2019) - [i111]Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson:
Learning Canonical Representations for Scene Graph to Image Generation. CoRR abs/1912.07414 (2019) - [i110]Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks. CoRR abs/1912.09930 (2019) - [i109]Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal:
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. CoRR abs/1912.11032 (2019) - 2018
- [j43]Trevor Darrell, Christoph Lampert, Nicu Sebe, Ying Wu, Yan Yan:
Guest Editors' Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1029-1031 (2018) - [c269]Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel:
Modular Architecture for StarCraft II with Deep Reinforcement Learning. AIIDE 2018: 187-193 - [c268]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CVPR Workshops 2018: 2042-2045 - [c267]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. CVPR Workshops 2018: 2050-2053 - [c266]Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Deep Layer Aggregation. CVPR 2018: 2403-2412 - [c265]Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. CVPR 2018: 4233-4241 - [c264]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Fooling Vision and Language Models Despite Localization and Attention Mechanism. CVPR 2018: 4951-4961 - [c263]Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CVPR 2018: 7564-7573 - [c262]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CVPR 2018: 8779-8788 - [c261]Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko:
Explainable Neural Computation via Stack Neural Module Networks. ECCV (7) 2018: 55-71 - [c260]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations. ECCV (2) 2018: 269-286 - [c259]Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez:
SkipNet: Learning Dynamic Routing in Convolutional Networks. ECCV (13) 2018: 420-436 - [c258]Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata:
Textual Explanations for Self-Driving Vehicles. ECCV (2) 2018: 577-593 - [c257]Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach:
Women Also Snowboard: Overcoming Bias in Captioning Models. ECCV (3) 2018: 793-811 - [c256]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. EMNLP 2018: 1380-1390 - [c255]Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. EMNLP 2018: 4035-4045 - [c254]Andreea Bobu, Eric Tzeng, Judy Hoffman, Trevor Darrell:
Adapting to Continuously Shifting Domains. ICLR (Workshop) 2018 - [c253]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. ICLR (Workshop) 2018 - [c252]Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas L. Griffiths:
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes. ICLR (Poster) 2018 - [c251]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. ICLR 2018 - [c250]Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alyosha A. Efros, Sergey Levine:
Conditional Networks for Few-Shot Semantic Segmentation. ICLR (Workshop) 2018 - [c249]Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Learning Rich Image Representation with Deep Layer Aggregation. ICLR (Workshop) 2018 - [c248]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML 2018: 1994-2003 - [c247]Coline Devin, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Deep Object-Centric Representations for Generalizable Robot Learning. ICRA 2018: 7111-7118 - [c246]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS 2018: 3318-3329 - [i108]Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas L. Griffiths:
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes. CoRR abs/1801.08930 (2018) - [i107]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. CoRR abs/1802.05313 (2018) - [i106]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CoRR abs/1802.08129 (2018) - [i105]Kaylee Burns, Lisa Anne Hendricks, Trevor Darrell, Anna Rohrbach:
Women also Snowboard: Overcoming Bias in Captioning Models. CoRR abs/1803.09797 (2018) - [i104]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. CoRR abs/1804.08606 (2018) - [i103]Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. CoRR abs/1805.04687 (2018) - [i102]Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez:
Deep Mixture of Experts via Shallow Embedding. CoRR abs/1806.01531 (2018) - [i101]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. CoRR abs/1806.02724 (2018) - [i100]Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alexei A. Efros, Sergey Levine:
Few-Shot Segmentation Propagation with Guided Networks. CoRR abs/1806.07373 (2018) - [i99]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CoRR abs/1806.08354 (2018) - [i98]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Generating Counterfactual Explanations with Natural Language. CoRR abs/1806.09809 (2018) - [i97]Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach:
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract). CoRR abs/1807.00517 (2018) - [i96]Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma:
Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees. CoRR abs/1807.03858 (2018) - [i95]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN: Learning Conditional Image Composition. CoRR abs/1807.07560 (2018) - [i94]Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko:
Explainable Neural Computation via Stack Neural Module Networks. CoRR abs/1807.08556 (2018) - [i93]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations. CoRR abs/1807.09685 (2018) - [i92]Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata:
Textual Explanations for Self-Driving Vehicles. CoRR abs/1807.11546 (2018) - [i91]Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. CoRR abs/1808.04355 (2018) - [i90]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. CoRR abs/1809.01337 (2018) - [i89]Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. CoRR abs/1809.02156 (2018) - [i88]Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell:
Rethinking the Value of Network Pruning. CoRR abs/1810.05270 (2018) - [i87]Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian J. Goodfellow, Augustus Odena:
Discriminator Rejection Sampling. CoRR abs/1810.06758 (2018) - [i86]Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel:
Modular Architecture for StarCraft II with Deep Reinforcement Learning. CoRR abs/1811.03555 (2018) - [i85]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object Centric Policies for Autonomous Driving. CoRR abs/1811.05432 (2018) - [i84]Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. CoRR abs/1811.10742 (2018) - [i83]Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. CoRR abs/1812.00452 (2018) - [i82]Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell:
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. CoRR abs/1812.00929 (2018) - [i81]Roei Herzig, Elad Levi, Huijuan Xu, Eli Brosh, Amir Globerson, Trevor Darrell:
Classifying Collisions with Spatio-Temporal Action Graph Networks. CoRR abs/1812.01233 (2018) - [i80]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CoRR abs/1812.01784 (2018) - [i79]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-shot Object Detection via Feature Reweighting. CoRR abs/1812.01866 (2018) - [i78]Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach:
Adversarial Inference for Multi-Sentence Video Description. CoRR abs/1812.05634 (2018) - [i77]Zhichao Yin, Trevor Darrell, Fisher Yu:
Hierarchical Discrete Distribution Decomposition for Match Density Estimation. CoRR abs/1812.06264 (2018) - [i76]Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell:
Similarity R-C3D for Few-shot Temporal Activity Detection. CoRR abs/1812.10000 (2018) - 2017
- [j42]Evan Shelhamer, Jonathan Long, Trevor Darrell:
Fully Convolutional Networks for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 640-651 (2017) - [j41]Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell:
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 677-691 (2017) - [c245]Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell:
Gradient-free Policy Architecture Search and Adaptation. CoRL 2017: 505-514 - [c244]Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell:
Curiosity-Driven Exploration by Self-Supervised Prediction. CVPR Workshops 2017: 488-489 - [c243]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CVPR 2017: 1170-1178 - [c242]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. CVPR 2017: 2962-2971 - [c241]Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-End Learning of Driving Models from Large-Scale Video Datasets. CVPR 2017: 3530-3538 - [c240]Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko:
Modeling Relationships in Referential Expressions with Compositional Modular Networks. CVPR 2017: 4418-4427 - [c239]Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. CVPR 2017: 6024-6033 - [c238]Samaneh Azadi, Jiashi Feng, Trevor Darrell:
Learning Detection with Diverse Proposals. CVPR 2017: 7369-7377 - [c237]Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko:
Learning to Reason: End-to-End Module Networks for Visual Question Answering. ICCV 2017: 804-813 - [c236]Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner:
Generalized Orderless Pooling Performs Implicit Salient Matching. ICCV 2017: 4970-4979 - [c235]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Natural Language. ICCV 2017: 5804-5813 - [c234]Jeff Donahue, Philipp Krähenbühl, Trevor Darrell:
Adversarial Feature Learning. ICLR (Poster) 2017 - [c233]Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell:
Loss is its own Reward: Self-Supervision for Reinforcement Learning. ICLR (Workshop) 2017 - [c232]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation (workshop extended abstract). ICLR (Workshop) 2017 - [c231]Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell:
Curiosity-driven Exploration by Self-supervised Prediction. ICML 2017: 2778-2787 - [c230]Coline Devin, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Sergey Levine:
Learning modular neural network policies for multi-task and multi-robot transfer. ICRA 2017: 2169-2176 - [c229]Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. NIPS 2017: 465-476 - [c228]Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell:
Visual Discovery at Pinterest. WWW (Companion Volume) 2017: 515-524 - [p2]Judy Hoffman, Eric Tzeng, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. Domain Adaptation in Computer Vision Applications 2017: 173-187 - [i75]Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell:
Visual Discovery at Pinterest. CoRR abs/1702.04680 (2017) - [i74]Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. CoRR abs/1702.05464 (2017) - [i73]Samaneh Azadi, Jiashi Feng, Trevor Darrell:
Learning Detection with Diverse Proposals. CoRR abs/1704.03533 (2017) - [i72]Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Kate Saenko:
Learning to Reason: End-to-End Module Networks for Visual Question Answering. CoRR abs/1704.05526 (2017) - [i71]Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner:
Generalized orderless pooling performs implicit salient matching. CoRR abs/1705.00487 (2017) - [i70]Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell:
Curiosity-driven Exploration by Self-supervised Prediction. CoRR abs/1705.05363 (2017) - [i69]Fisher Yu, Dequan Wang, Trevor Darrell:
Deep Layer Aggregation. CoRR abs/1707.06484 (2017) - [i68]Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Natural Language. CoRR abs/1708.01641 (2017) - [i67]Coline Devin, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Deep Object-Centric Representations for Generalizable Robot Learning. CoRR abs/1708.04225 (2017) - [i66]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Can you fool AI with adversarial examples on a visual Turing test? CoRR abs/1709.08693 (2017) - [i65]Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell:
Gradient-free Policy Architecture Search and Adaptation. CoRR abs/1710.05958 (2017) - [i64]Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell:
CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR abs/1711.03213 (2017) - [i63]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations (Extended Abstract). CoRR abs/1711.06465 (2017) - [i62]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract). CoRR abs/1711.07373 (2017) - [i61]Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. CoRR abs/1711.10370 (2017) - [i60]Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. CoRR abs/1711.11586 (2017) - [i59]Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CoRR abs/1712.00516 (2017) - 2016
- [j40]Sergio Guadarrama, Erik Rodner, Kate Saenko, Trevor Darrell:
Understanding object descriptions in robotics by open-vocabulary object retrieval and detection. Int. J. Robotics Res. 35(1-3): 265-280 (2016) - [j39]Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel:
End-to-End Training of Deep Visuomotor Policies. J. Mach. Learn. Res. 17: 39:1-39:40 (2016) - [j38]Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko:
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. 17: 142:1-142:31 (2016) - [j37]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 142-158 (2016) - [j36]Vivian Chu, Ian McMahon, Lorenzo Riano, Craig G. McDonald, Qin He, Jorge Martinez Perez-Tejada, Michael Arrigo, Trevor Darrell, Katherine J. Kuchenbecker:
Corrigendum to "Robotic learning of haptic adjectives through physical interaction" [Robot. Auton. Syst. 63 (P3) (2015) 279-292]. Robotics Auton. Syst. 83: 349 (2016) - [j35]Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell:
Learning to Detect Visual Grasp Affordance. IEEE Trans Autom. Sci. Eng. 13(2): 798-809 (2016) - [c227]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR 2016: 1-10 - [c226]Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Neural Module Networks. CVPR 2016: 39-48 - [c225]Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell:
Compact Bilinear Pooling. CVPR 2016: 317-326 - [c224]Judy Hoffman, Saurabh Gupta, Trevor Darrell:
Learning with Side Information through Modality Hallucination. CVPR 2016: 826-834 - [c223]Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros:
Context Encoders: Feature Learning by Inpainting. CVPR 2016: 2536-2544 - [c222]Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell:
Natural Language Object Retrieval. CVPR 2016: 4555-4564 - [c221]Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell:
Generating Visual Explanations. ECCV (4) 2016: 3-19 - [c220]Ronghang Hu, Marcus Rohrbach, Trevor Darrell:
Segmentation from Natural Language Expressions. ECCV (1) 2016: 108-124 - [c219]Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell:
Best Practices for Fine-Tuning Visual Classifiers to New Domains. ECCV Workshops (3) 2016: 435-442 - [c218]Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, Bernt Schiele:
Grounding of Textual Phrases in Images by Reconstruction. ECCV (1) 2016: 817-834 - [c217]Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell:
Clockwork Convnets for Video Semantic Segmentation. ECCV Workshops (3) 2016: 852-868 - [c216]Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach:
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. EMNLP 2016: 457-468 - [c215]Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel:
Deep spatial autoencoders for visuomotor learning. ICRA 2016: 512-519 - [c214]Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell:
Deep learning for tactile understanding from visual and haptic data. ICRA 2016: 536-543 - [c213]Adithyavairavan Murali, Animesh Garg, Sanjay Krishnan, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Goldberg:
TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning. ICRA 2016: 4150-4157 - [c212]Judy Hoffman, Saurabh Gupta, Jian Leong, Sergio Guadarrama, Trevor Darrell:
Cross-modal adaptation for RGB-D detection. ICRA 2016: 5032-5039 - [c211]Alex Burka, Siyao Hu, Stuart Helgeson, Shweta Krishnan, Yang Gao, Lisa Anne Hendricks, Trevor Darrell, Katherine J. Kuchenbecker:
Proton: A visuo-haptic data acquisition system for robotic learning of surface properties. MFI 2016: 58-65 - [c210]Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Learning to Compose Neural Networks for Question Answering. HLT-NAACL 2016: 1545-1554 - [c209]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell:
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. WAFR 2016: 688-703 - [c208]Samaneh Azadi, Jiashi Feng, Stefanie Jegelka, Trevor Darrell:
Auxiliary Image Regularization for Deep CNNs with Noisy Labels. ICLR (Poster) 2016 - [c207]Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell:
Data-dependent Initializations of Convolutional Neural Networks. ICLR (Poster) 2016 - [i58]Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Learning to Compose Neural Networks for Question Answering. CoRR abs/1601.01705 (2016) - [i57]Ronghang Hu, Marcus Rohrbach, Trevor Darrell:
Segmentation from Natural Language Expressions. CoRR abs/1603.06180 (2016) - [i56]Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell:
Generating Visual Explanations. CoRR abs/1603.08507 (2016) - [i55]Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros:
Context Encoders: Feature Learning by Inpainting. CoRR abs/1604.07379 (2016) - [i54]Evan Shelhamer, Jonathan Long, Trevor Darrell:
Fully Convolutional Networks for Semantic Segmentation. CoRR abs/1605.06211 (2016) - [i53]Jeff Donahue, Philipp Krähenbühl, Trevor Darrell:
Adversarial Feature Learning. CoRR abs/1605.09782 (2016) - [i52]Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach:
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. CoRR abs/1606.01847 (2016) - [i51]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CoRR abs/1606.07770 (2016) - [i50]Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell:
Clockwork Convnets for Video Semantic Segmentation. CoRR abs/1608.03609 (2016) - [i49]Ronghang Hu, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell:
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions. CoRR abs/1608.08305 (2016) - [i48]Coline Devin, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Sergey Levine:
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer. CoRR abs/1609.07088 (2016) - [i47]Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko:
Modeling Relationships in Referential Expressions with Compositional Modular Networks. CoRR abs/1611.09978 (2016) - [i46]Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-end Learning of Driving Models from Large-scale Video Datasets. CoRR abs/1612.01079 (2016) - [i45]Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell:
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. CoRR abs/1612.02649 (2016) - [i44]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Attentive Explanations: Justifying Decisions and Pointing to the Evidence. CoRR abs/1612.04757 (2016) - [i43]Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. CoRR abs/1612.06370 (2016) - [i42]Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell:
Loss is its own Reward: Self-Supervision for Reinforcement Learning. CoRR abs/1612.07307 (2016) - 2015
- [j34]Trevor Darrell, Vittorio Ferrari, Frédéric Jurie, Vincent Lepetit:
Introduction to the CVIU special issue on "Parts and Attributes: Mid-level representation for object recognition, scene classification and object detection". Comput. Vis. Image Underst. 138: 85 (2015) - [j33]Hyun Oh Song, Ross B. Girshick, Stefan Zickler, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell:
Generalized Sparselet Models for Real-Time Multiclass Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 1001-1012 (2015) - [j32]Vivian Chu, Ian McMahon, Lorenzo Riano, Craig G. McDonald, Qin He, Jorge Martinez Perez-Tejada, Michael Arrigo, Trevor Darrell, Katherine J. Kuchenbecker:
Robotic learning of haptic adjectives through physical interaction. Robotics Auton. Syst. 63: 279-292 (2015) - [c206]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable part models are convolutional neural networks. CVPR 2015: 437-446 - [c205]Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko:
Long-term recurrent convolutional networks for visual recognition and description. CVPR 2015: 2625-2634 - [c204]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector discovery in the wild: Joint multiple instance and representation learning. CVPR 2015: 2883-2891 - [c203]Jonathan Long, Evan Shelhamer, Trevor Darrell:
Fully convolutional networks for semantic segmentation. CVPR 2015: 3431-3440 - [c202]Deepak Pathak, Philipp Krähenbühl, Trevor Darrell:
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. ICCV 2015: 1796-1804 - [c201]Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. ICCV 2015: 2003-2011 - [c200]Jiashi Feng, Trevor Darrell:
Learning the Structure of Deep Convolutional Networks. ICCV 2015: 2749-2757 - [c199]Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. ICCV 2015: 4068-4076 - [c198]Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. ICCV 2015: 4534-4542 - [c197]Evan Shelhamer, Jonathan T. Barron, Trevor Darrell:
Scene Intrinsics and Depth from a Single Image. ICCV Workshops 2015: 235-242 - [c196]Chelsea Finn, Lisa Anne Hendricks, Trevor Darrell:
Learning Compact Convolutional Neural Networks with Nested Dropout. ICLR (Workshop) 2015 - [c195]Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell:
Fully Convolutional Multi-Class Multiple Instance Learning. ICLR (Workshop) 2015 - [i41]Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel:
End-to-End Training of Deep Visuomotor Policies. CoRR abs/1504.00702 (2015) - [i40]Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. CoRR abs/1505.00487 (2015) - [i39]Deepak Pathak, Philipp Krähenbühl, Trevor Darrell:
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. CoRR abs/1506.03648 (2015) - [i38]Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel:
Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders. CoRR abs/1509.06113 (2015) - [i37]Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. CoRR abs/1510.02192 (2015) - [i36]Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. CoRR abs/1510.02949 (2015) - [i35]Oscar Beijbom, Judy Hoffman, Evan Yao, Trevor Darrell, Alberto Rodriguez-Ramirez, Manuel González-Rivero, Ove Hoegh-Guldberg:
Quantification in-the-wild: data-sets and baselines. CoRR abs/1510.04811 (2015) - [i34]Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Deep Compositional Question Answering with Neural Module Networks. CoRR abs/1511.02799 (2015) - [i33]Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, Bernt Schiele:
Grounding of Textual Phrases in Images by Reconstruction. CoRR abs/1511.03745 (2015) - [i32]Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell:
Natural Language Object Retrieval. CoRR abs/1511.04164 (2015) - [i31]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR abs/1511.05284 (2015) - [i30]Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell:
Compact Bilinear Pooling. CoRR abs/1511.06062 (2015) - [i29]Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell:
Deep Learning for Tactile Understanding From Visual and Haptic Data. CoRR abs/1511.06065 (2015) - [i28]Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell:
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. CoRR abs/1511.06838 (2015) - [i27]Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell:
Fine-grained pose prediction, normalization, and recognition. CoRR abs/1511.07063 (2015) - [i26]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell:
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR abs/1511.07111 (2015) - [i25]Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell:
Constrained Structured Regression with Convolutional Neural Networks. CoRR abs/1511.07497 (2015) - [i24]Trevor Darrell, Marius Kloft, Massimiliano Pontil, Gunnar Rätsch, Erik Rodner:
Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152). Dagstuhl Reports 5(4): 18-55 (2015) - 2014
- [j31]Dong Xu, Rama Chellappa, Trevor Darrell, Hal Daumé III:
Guest Editor's Introduction to the Special Issue on Domain Adaptation for Vision Applications. Int. J. Comput. Vis. 109(1-2): 1-2 (2014) - [j30]Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko:
Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2185-2198 (2014) - [c194]Sergey Karayev, Matthew Trentacoste, Helen Han, Aseem Agarwala, Trevor Darrell, Aaron Hertzmann, Holger Winnemoeller:
Recognizing Image Style. BMVC 2014 - [c193]Sergey Karayev, Mario Fritz, Trevor Darrell:
Anytime Recognition of Objects and Scenes. CVPR 2014: 572-579 - [c192]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. CVPR 2014: 580-587 - [c191]Judy Hoffman, Trevor Darrell, Kate Saenko:
Continuous Manifold Based Adaptation for Evolving Visual Domains. CVPR 2014: 867-874 - [c190]Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir D. Bourdev:
PANDA: Pose Aligned Networks for Deep Attribute Modeling. CVPR 2014: 1637-1644 - [c189]Jiashi Feng, Stefanie Jegelka, Shuicheng Yan, Trevor Darrell:
Learning Scalable Discriminative Dictionary with Sample Relatedness. CVPR 2014: 1645-1652 - [c188]Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler:
Exemplar-Specific Patch Features for Fine-Grained Recognition. GCPR 2014: 144-156 - [c187]Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell:
Part-Based R-CNNs for Fine-Grained Category Detection. ECCV (1) 2014: 834-849 - [c186]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. ICML 2014: 647-655 - [c185]Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell:
On learning to localize objects with minimal supervision. ICML 2014: 1611-1619 - [c184]Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Interactive adaptation of real-time object detectors. ICRA 2014: 1282-1289 - [c183]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia 2014: 675-678 - [c182]Jonathan Long, Ning Zhang, Trevor Darrell:
Do Convnets Learn Correspondence? NIPS 2014: 1601-1609 - [c181]Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell:
Weakly-supervised Discovery of Visual Pattern Configurations. NIPS 2014: 1637-1645 - [c180]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection through Adaptation. NIPS 2014: 3536-3544 - [c179]Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell:
Open-vocabulary Object Retrieval. Robotics: Science and Systems 2014 - [c178]Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell:
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) 2014 - [i23]Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell:
One-Bit Object Detection: On learning to localize objects with minimal supervision. CoRR abs/1403.1024 (2014) - [i22]Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer:
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR abs/1404.1869 (2014) - [i21]Tim Althoff, Hyun Oh Song, Trevor Darrell:
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition. CoRR abs/1405.7102 (2014) - [i20]Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell:
Weakly-supervised Discovery of Visual Pattern Configurations. CoRR abs/1406.6507 (2014) - [i19]Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell:
Part-based R-CNNs for Fine-grained Category Detection. CoRR abs/1407.3867 (2014) - [i18]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection Through Adaptation. CoRR abs/1407.5035 (2014) - [i17]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR abs/1408.5093 (2014) - [i16]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable Part Models are Convolutional Neural Networks. CoRR abs/1409.5403 (2014) - [i15]Tao Chen, Damian Borth, Trevor Darrell, Shih-Fu Chang:
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks. CoRR abs/1410.8586 (2014) - [i14]Jonathan Long, Ning Zhang, Trevor Darrell:
Do Convnets Learn Correspondence? CoRR abs/1411.1091 (2014) - [i13]Jonathan Long, Evan Shelhamer, Trevor Darrell:
Fully Convolutional Networks for Semantic Segmentation. CoRR abs/1411.4038 (2014) - [i12]Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell:
Long-term Recurrent Convolutional Networks for Visual Recognition and Description. CoRR abs/1411.4389 (2014) - [i11]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. CoRR abs/1412.1135 (2014) - [i10]Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, Trevor Darrell:
Deep Domain Confusion: Maximizing for Domain Invariance. CoRR abs/1412.3474 (2014) - 2013
- [c177]Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Semi-supervised Domain Adaptation with Instance Constraints. CVPR 2013: 668-675 - [c176]Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell:
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction. ICCV 2013: 729-736 - [c175]Yangqing Jia, Trevor Darrell:
Latent Task Adaptation with Large-Scale Hierarchies. ICCV 2013: 2080-2087 - [c174]Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV 2013: 2712-2719 - [c173]Ross B. Girshick, Hyun Oh Song, Trevor Darrell:
Discriminatively Activated Sparselets. ICML (1) 2013: 196-204 - [c172]Yangqing Jia, Oriol Vinyals, Trevor Darrell:
On Compact Codes for Spatially Pooled Features. ICML (3) 2013: 549-557 - [c171]Vivian Chu, Ian McMahon, Lorenzo Riano, Craig G. McDonald, Qin He, Jorge Martinez Perez-Tejada, Michael Arrigo, Naomi T. Fitter, John C. Nappo, Trevor Darrell, Katherine J. Kuchenbecker:
Using robotic exploratory procedures to learn the meaning of haptic adjectives. ICRA 2013: 3048-3055 - [c170]Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell:
Grounding spatial relations for human-robot interaction. IROS 2013: 1640-1647 - [c169]Yangqing Jia, Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths, Trevor Darrell:
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies. NIPS 2013: 1842-1850 - [c168]Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell:
Efficient Learning of Domain-invariant Image Representations. ICLR (Poster) 2013 - [c167]Oriol Vinyals, Yangqing Jia, Trevor Darrell:
Why Size Matters: Feature Coding as Nystrom Sampling. ICLR (Workshop) 2013 - [p1]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A Category-Level 3D Object Dataset: Putting the Kinect to Work. Consumer Depth Cameras for Computer Vision 2013: 141-165 - [i9]Yangqing Jia, Oriol Vinyals, Trevor Darrell:
Pooling-Invariant Image Feature Learning. CoRR abs/1302.5056 (2013) - [i8]Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko:
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. CoRR abs/1308.4200 (2013) - [i7]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. CoRR abs/1310.1531 (2013) - [i6]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Rich feature hierarchies for accurate object detection and semantic segmentation. CoRR abs/1311.2524 (2013) - [i5]Sergey Karayev, Aaron Hertzmann, Holger Winnemoeller, Aseem Agarwala, Trevor Darrell:
Recognizing Image Style. CoRR abs/1311.3715 (2013) - [i4]Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir D. Bourdev:
PANDA: Pose Aligned Networks for Deep Attribute Modeling. CoRR abs/1311.5591 (2013) - [i3]Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko:
Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images. CoRR abs/1311.6887 (2013) - 2012
- [j29]Stephen Miller, Jur van den Berg, Mario Fritz, Trevor Darrell, Kenneth Y. Goldberg, Pieter Abbeel:
A geometric approach to robotic laundry folding. Int. J. Robotics Res. 31(2): 249-267 (2012) - [c166]Ying Xiong, Kate Saenko, Trevor Darrell, Todd E. Zickler:
From pixels to physics: Probabilistic color de-rendering. CVPR 2012: 358-365 - [c165]Yangqing Jia, Chang Huang, Trevor Darrell:
Beyond spatial pyramids: Receptive field learning for pooled image features. CVPR 2012: 3370-3377 - [c164]Ning Zhang, Ryan Farrell, Trevor Darrell:
Pose pooling kernels for sub-category recognition. CVPR 2012: 3665-3672 - [c163]Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko:
Discovering Latent Domains for Multisource Domain Adaptation. ECCV (2) 2012: 702-715 - [c162]Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell:
Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) 2012: 802-815 - [c161]Tim Althoff, Hyun Oh Song, Trevor Darrell:
Detection bank: an object detection based video representation for multimedia event recognition. ACM Multimedia 2012: 1065-1068 - [c160]Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell:
Timely Object Recognition. NIPS 2012: 899-907 - [c159]Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell:
Learning with Recursive Perceptual Representations. NIPS 2012: 2834-2842 - [c158]Hui Cheng, Jingen Liu, Saad Ali, Omar Javed, Qian Yu, Amir Tamrakar, Ajay Divakaran, Harpreet S. Sawhney, R. Manmatha, James Allan, Alexander G. Hauptmann, Mubarak Shah, Subhabrata Bhattacharya, Afshin Dehghan, Gerald Friedland, Benjamin Elizalde, Trevor Darrell, Michael Witbrock, Jon Curtis:
SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. TRECVID 2012 - [c157]Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell:
Factorized Multi-Modal Topic Model. UAI 2012: 843-851 - [i2]C. Mario Christoudias, Raquel Urtasun, Trevor Darrell:
Multi-View Learning in the Presence of View Disagreement. CoRR abs/1206.3242 (2012) - [i1]Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell:
Factorized Multi-Modal Topic Model. CoRR abs/1210.4920 (2012) - 2011
- [c156]Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell:
Learning object color models from multi-view constraints. CVPR 2011: 169-176 - [c155]Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell:
A probabilistic model for recursive factorized image features. CVPR 2011: 401-408 - [c154]Brian Kulis, Kate Saenko, Trevor Darrell:
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. CVPR 2011: 1785-1792 - [c153]Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun:
Supervised hierarchical Pitman-Yor process for natural scene segmentation. CVPR 2011: 2281-2288 - [c152]Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu, Trevor Darrell, Larry S. Davis:
Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance. ICCV 2011: 161-168 - [c151]Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell:
The NBNN kernel. ICCV 2011: 1824-1831 - [c150]Yangqing Jia, Mathieu Salzmann, Trevor Darrell:
Learning cross-modality similarity for multinomial data. ICCV 2011: 2407-2414 - [c149]Hyun Oh Song, Mario Fritz, Chunhui Gu, Trevor Darrell:
Visual grasp affordances from appearance-based cues. ICCV Workshops 2011: 998-1005 - [c148]Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A category-level 3-D object dataset: Putting the Kinect to work. ICCV Workshops 2011: 1168-1174 - [c147]Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel:
Parametrized shape models for clothing. ICRA 2011: 4861-4868 - [c146]Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell:
Practical 3-D object detection using category and instance-level appearance models. IROS 2011: 793-800 - [c145]Ping Chuan Wang, Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel:
Perception for the manipulation of socks. IROS 2011: 4877-4884 - [c144]Yangqing Jia, Trevor Darrell:
Heavy-tailed Distances for Gradient Based Image Descriptors. NIPS 2011: 397-405 - [c143]Hui Cheng, Amir Tamrakar, Saad Ali, Qian Yu, Omar Javed, Jingen Liu, Ajay Divakaran, Harpreet S. Sawhney, Alexander G. Hauptmann, Mubarak Shah, Subhabrata Bhattacharya, Michael Witbrock, Jon Curtis, Gerald Friedland, Robert Mertens, Trevor Darrell, R. Manmatha, James Allan:
Team SRI-Sarnoff's AURORA System @ TRECVID 2011. TRECVID 2011 - 2010
- [j28]Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell:
Gaussian Processes for Object Categorization. Int. J. Comput. Vis. 88(2): 169-188 (2010) - [j27]Zak Stone, Todd E. Zickler, Trevor Darrell:
Toward Large-Scale Face Recognition Using Social Network Context. Proc. IEEE 98(8): 1408-1415 (2010) - [c142]Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell:
Adapting Visual Category Models to New Domains. ECCV (4) 2010: 213-226 - [c141]C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell:
Learning to Recognize Objects from Unseen Modalities. ECCV (1) 2010: 677-691 - [c140]Gerald Friedland, Oriol Vinyals, Trevor Darrell:
Multimodal location estimation. ACM Multimedia 2010: 1245-1252 - [c139]Mario Fritz, Kate Saenko, Trevor Darrell:
Size Matters: Metric Visual Search Constraints from Monocular Metadata. NIPS 2010: 622-630 - [c138]Yangqing Jia, Mathieu Salzmann, Trevor Darrell:
Factorized Latent Spaces with Structured Sparsity. NIPS 2010: 982-990 - [c137]Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell:
Factorized Orthogonal Latent Spaces. AISTATS 2010: 701-708
2000 – 2009
- 2009
- [j26]Kate Saenko, Karen Livescu, James R. Glass, Trevor Darrell:
Multistream Articulatory Feature-Based Models for Visual Speech Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1700-1707 (2009) - [c136]Tom Yeh, John J. Lee, Trevor Darrell:
Fast concurrent object localization and recognition. CVPR 2009: 280-287 - [c135]Andreas Geiger, Raquel Urtasun, Trevor Darrell:
Rank priors for continuous non-linear dimensionality reduction. CVPR 2009: 880-887 - [c134]C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell:
Co-training with noisy perceptual observations. CVPR 2009: 2844-2851 - [c133]Matthew Frampton, Raquel Fernández, Patrick Ehlen, C. Mario Christoudias, Trevor Darrell, Stanley Peters:
Who is "You"? Combining Linguistic and Gaze Features to Resolve Second-Person References in Dialogue. EACL 2009: 273-281 - [c132]Allen Y. Yang, Subhransu Maji, C. Mario Christoudias, Trevor Darrell, Jitendra Malik, S. Shankar Sastry:
Multiple-view object recognition in band-limited distributed camera networks. ICDSC 2009: 1-8 - [c131]Ariadna Quattoni, Xavier Carreras, Michael Collins, Trevor Darrell:
An efficient projection for l1,infinity regularization. ICML 2009: 857-864 - [c130]Trevor Darrell:
Invited talk: image recognition for intelligent interfaces. IUI 2009: 1-2 - [c129]Mario Fritz, Michael J. Black, Gary R. Bradski, Sergey Karayev, Trevor Darrell:
An Additive Latent Feature Model for Transparent Object Recognition. NIPS 2009: 558-566 - [c128]Brian Kulis, Trevor Darrell:
Learning to Hash with Binary Reconstructive Embeddings. NIPS 2009: 1042-1050 - [c127]Kate Saenko, Trevor Darrell:
Filtering Abstract Senses From Image Search Results. NIPS 2009: 1589-1597 - 2008
- [j25]Ali Rahimi, Louis-Philippe Morency, Trevor Darrell:
Reducing drift in differential tracking. Comput. Vis. Image Underst. 109(2): 97-111 (2008) - [j24]Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk:
Nearest-Neighbor Methods in Learning and Vision. IEEE Trans. Neural Networks 19(2): 377 (2008) - [c126]C. Mario Christoudias, Raquel Urtasun, Trevor Darrell:
Unsupervised feature selection via distributed coding for multi-view object recognition. CVPR 2008 - [c125]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Transfer learning for image classification with sparse prototype representations. CVPR 2008 - [c124]Zak Stone, Todd E. Zickler, Trevor Darrell:
Autotagging Facebook: Social network context improves photo annotation. CVPR Workshops 2008: 1-8 - [c123]Raquel Urtasun, Trevor Darrell:
Sparse probabilistic regression for activity-independent human pose inference. CVPR 2008 - [c122]Tom Yeh, Trevor Darrell:
Dynamic visual category learning. CVPR 2008 - [c121]Tom Yeh, John J. Lee, Trevor Darrell:
Scalable classifiers for Internet vision tasks. CVPR Workshops 2008: 1-8 - [c120]Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence:
Topologically-constrained latent variable models. ICML 2008: 1080-1087 - [c119]Tom Yeh, Trevor Darrell:
Multimodal question answering for mobile devices. IUI 2008: 405-408 - [c118]Tom Yeh, John J. Lee, Trevor Darrell:
Photo-based question answering. ACM Multimedia 2008: 389-398 - [c117]Kate Saenko, Trevor Darrell:
Unsupervised Learning of Visual Sense Models for Polysemous Words. NIPS 2008: 1393-1400 - 2007
- [j23]Louis-Philippe Morency, Candace L. Sidner, Christopher Lee, Trevor Darrell:
Head gestures for perceptual interfaces: The role of context in improving recognition. Artif. Intell. 171(8-9): 568-585 (2007) - [j22]Leonid Taycher, John W. Fisher III, Trevor Darrell:
Combining object and feature dynamics in probabilistic tracking. Comput. Vis. Image Underst. 108(3): 243-260 (2007) - [j21]Kristen Grauman, Trevor Darrell:
The Pyramid Match Kernel: Efficient Learning with Sets of Features. J. Mach. Learn. Res. 8: 725-760 (2007) - [j20]Ali Rahimi, Ben Recht, Trevor Darrell:
Learning to Transform Time Series with a Few Examples. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1759-1775 (2007) - [j19]Ariadna Quattoni, Sy Bor Wang, Louis-Philippe Morency, Michael Collins, Trevor Darrell:
Hidden Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1848-1852 (2007) - [c116]Kristen Grauman, Trevor Darrell:
Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences. CVPR 2007 - [c115]Louis-Philippe Morency, Ariadna Quattoni, Trevor Darrell:
Latent-Dynamic Discriminative Models for Continuous Gesture Recognition. CVPR 2007 - [c114]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Learning Visual Representations using Images with Captions. CVPR 2007 - [c113]Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell:
Active Learning with Gaussian Processes for Object Categorization. ICCV 2007: 1-8 - [c112]Tom Yeh, John J. Lee, Trevor Darrell:
Adaptive Vocabulary Forests br Dynamic Indexing and Category Learning. ICCV 2007: 1-8 - [c111]Sy Bor Wang, David Demirdjian, Trevor Darrell, Hedvig Kjellström:
Multimodal communication error detection for driver-car interaction. ICINCO-RA (1) 2007: 365-371 - [c110]Sy Bor Wang, David Demirdjian, Trevor Darrell:
Detecting communication errors from visual cues during the system's conversational turn. ICMI 2007: 323-326 - [c109]Raquel Urtasun, Trevor Darrell:
Discriminative Gaussian process latent variable model for classification. ICML 2007: 927-934 - [c108]Louis-Philippe Morency, Trevor Darrell:
Conditional Sequence Model for Context-Based Recognition of Gaze Aversion. MLMI 2007: 11-23 - [c107]Kate Saenko, Trevor Darrell:
Object Category Recognition Using Probabilistic Fusion of Speech and Image Classifiers. MLMI 2007: 36-47 - 2006
- [j18]C. Mario Christoudias, Louis-Philippe Morency, Trevor Darrell:
Non-parametric and light-field deformable models. Comput. Vis. Image Underst. 104(1): 16-35 (2006) - [j17]Kevin W. Wilson, Trevor Darrell:
Learning a Precedence Effect-Like Weighting Function for the Generalized Cross-Correlation Framework. IEEE Trans. Speech Audio Process. 14(6): 2156-2164 (2006) - [c106]Louis-Philippe Morency, Candace L. Sidner, Christopher Lee, Trevor Darrell:
The Role of Context in Head Gesture Recognition. AAAI 2006: 1650-1653 - [c105]Kristen Grauman, Trevor Darrell:
Unsupervised Learning of Categories from Sets of Partially Matching Image Features. CVPR (1) 2006: 19-25 - [c104]Leonid Taycher, David Demirdjian, Trevor Darrell, Gregory Shakhnarovich:
Conditional Random People: Tracking Humans with CRFs and Grid Filters. CVPR (1) 2006: 222-229 - [c103]Sy Bor Wang, Ariadna Quattoni, Louis-Philippe Morency, David Demirdjian, Trevor Darrell:
Hidden Conditional Random Fields for Gesture Recognition. CVPR (2) 2006: 1521-1527 - [c102]C. Mario Christoudias, Kate Saenko, Louis-Philippe Morency, Trevor Darrell:
Co-Adaptation of audio-visual speech and gesture classifiers. ICMI 2006: 84-91 - [c101]Louis-Philippe Morency, C. Mario Christoudias, Trevor Darrell:
Recognizing gaze aversion gestures in embodied conversational discourse. ICMI 2006: 287-294 - [c100]Louis-Philippe Morency, Trevor Darrell:
Head gesture recognition in intelligent interfaces: the role of context in improving recognition. IUI 2006: 32-38 - [c99]Kristen Grauman, Trevor Darrell:
Approximate Correspondences in High Dimensions. NIPS 2006: 505-512 - 2005
- [j16]David Demirdjian, Teresa Ko, Trevor Darrell:
Untethered gesture acquisition and recognition for virtual world manipulation. Virtual Real. 8(4): 222-230 (2005) - [c98]Tom Yeh, Kristen Grauman, Konrad Tollmar, Trevor Darrell:
A picture is worth a thousand keywords: image-based object search on a mobile platform. CHI Extended Abstracts 2005: 2025-2028 - [c97]Leonid Taycher, John W. Fisher III, Trevor Darrell:
Combining Object and Feature Dynamics in Probabilistic Tracking. CVPR (2) 2005: 106-113 - [c96]Ognjen Arandjelovic, Gregory Shakhnarovich, John Fisher, Roberto Cipolla, Trevor Darrell:
Face Recognition with Image Sets Using Manifold Density Divergence. CVPR (1) 2005: 581-588 - [c95]Kristen Grauman, Trevor Darrell:
Efficient Image Matching with Distributions of Local Invariant Features. CVPR (2) 2005: 627-634 - [c94]Ali Rahimi, Ben Recht, Trevor Darrell:
Learning Appearance Manifolds from Video. CVPR (1) 2005: 868-875 - [c93]C. Mario Christoudias, Trevor Darrell:
On Modelling Nonlinear Shape-and-Texture Appearance Manifolds. CVPR (2) 2005: 1067-1074 - [c92]Kate Saenko, Karen Livescu, James R. Glass, Trevor Darrell:
Production domain modeling of pronunciation for visual speech recognition. ICASSP (5) 2005: 473-476 - [c91]Kevin W. Wilson, Trevor Darrell:
Improving audio source localization by learning the precedence effect. ICASSP (4) 2005: 1125-1128 - [c90]David Demirdjian, Leonid Taycher, Gregory Shakhnarovich, Kristen Grauman, Trevor Darrell:
Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes. ICCV 2005: 357-364 - [c89]Kate Saenko, Karen Livescu, Michael Siracusa, Kevin W. Wilson, James R. Glass, Trevor Darrell:
Visual Speech Recognition with Loosely Synchronized Feature Streams. ICCV 2005: 1424-1431 - [c88]Kristen Grauman, Trevor Darrell:
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. ICCV 2005: 1458-1465 - [c87]Louis-Philippe Morency, Candace L. Sidner, Christopher Lee, Trevor Darrell:
Contextual recognition of head gestures. ICMI 2005: 18-24 - [c86]Tom Yeh, Trevor Darrell:
Doubleshot: an interactive user-aided segmentation tool. IUI 2005: 287-289 - [c85]Leonid Taycher, John W. Fisher III, Trevor Darrell:
Incorporating Object Tracking Feedback into Background Maintenance Framework. WACV/MOTION 2005: 120-125 - 2004
- [j15]Sharon L. Oviatt, Trevor Darrell, Myron Flickner:
Introduction. Commun. ACM 47(1): 30-33 (2004) - [j14]John W. Fisher III, Trevor Darrell:
Speaker association with signal-level audiovisual fusion. IEEE Trans. Multim. 6(3): 406-413 (2004) - [c84]Tom Yeh, Konrad Tollmar, Trevor Darrell:
IDeixis: image-based Deixis for finding location-based information. CHI Extended Abstracts 2004: 781-782 - [c83]Christopher Lee, Neal Lesh, Candace L. Sidner, Louis-Philippe Morency, Ashish Kapoor, Trevor Darrell:
Nodding in conversations with a robot. CHI Extended Abstracts 2004: 785-786 - [c82]Tom Yeh, Konrad Tollmar, Trevor Darrell:
Searching the Web with Mobile Images for Location Recognition. CVPR (2) 2004: 76-81 - [c81]Ali Rahimi, Brian Dunagan, Trevor Darrell:
Simultaneous Calibration and Tracking with a Network of Non-Overlapping Sensors. CVPR (1) 2004: 187-194 - [c80]Kristen Grauman, Trevor Darrell:
Fast Contour Matching Using Approximate Earth Mover's Distance. CVPR (1) 2004: 220-227 - [c79]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes. ECCV Workshop SMVP 2004: 26-37 - [c78]Leonid Taycher, John W. Fisher III, Trevor Darrell:
Combining Simple Models to Approximate Complex Dynamics. ECCV Workshop SMVP 2004: 94-104 - [c77]Chris Mario Christoudias, Louis-Philippe Morency, Trevor Darrell:
Light Field Appearance Manifolds. ECCV (4) 2004: 481-493 - [c76]Ali Rahimi, Brian Dunagan, Trevor Darrell:
Tracking People with a Sparse Network of Bearing Sensors. ECCV (4) 2004: 507-518 - [c75]Neal Checka, Kevin W. Wilson, Michael Siracusa, Trevor Darrell:
Multiple person and speaker activity tracking with a particle filter. ICASSP (5) 2004: 881-884 - [c74]Louis-Philippe Morency, Trevor Darrell:
From conversational tooltips to grounded discourse: head poseTracking in interactive dialog systems. ICMI 2004: 32-37 - [c73]Kate Saenko, Trevor Darrell, James R. Glass:
Articulatory features for robust visual speech recognition. ICMI 2004: 152-158 - [c72]David Demirdjian, Kevin W. Wilson, Michael Siracusa, Trevor Darrell:
Real-time audio-visual tracking for meeting analysis. ICMI 2004: 331-332 - [c71]Konrad Tollmar, Tom Yeh, Trevor Darrell:
IDeixis - Searching the Web with Mobile Images for Location-Based Information. Mobile HCI 2004: 288-299 - [c70]Ariadna Quattoni, Michael Collins, Trevor Darrell:
Conditional Random Fields for Object Recognition. NIPS 2004: 1097-1104 - [c69]Konrad Tollmar, David Demirdjian, Trevor Darrell:
Navigating in virtual environments using a vision-based interface. NordiCHI 2004: 113-120 - [e2]Rajeev Sharma, Trevor Darrell, Mary P. Harper, Gianni Lazzari, Matthew A. Turk:
Proceedings of the 6th International Conference on Multimodal Interfaces, ICMI 2004, State College, PA, USA, October 13-15, 2004. ACM 2004, ISBN 1-58113-995-0 [contents] - 2003
- [j13]Frank Bentley, Konrad Tollmar, David Demirdjian, Kimberle Koile, Trevor Darrell:
Perceptive Presence. IEEE Computer Graphics and Applications 23(5): 26-36 (2003) - [c68]Louis-Philippe Morency, Patrik Sundberg, Trevor Darrell:
Pose Estimation using 3D View-Based Eigenspaces. AMFG 2003: 45-52 - [c67]Konrad Tollmar, David Demirdjian, Trevor Darrell:
Gesture + play: full-body interaction for virtual environments. CHI Extended Abstracts 2003: 620-621 - [c66]Konrad Tollmar, David Demirdjian, Trevor Darrell:
Gesture + Play Exploring Full-Body Navigation for Virtual Environments. CVPR Workshops 2003: 47 - [c65]Neal Checka, Kevin W. Wilson, Vibhav Rangarajan, Trevor Darrell:
A Probabilistic Framework for Multi-modal Multi-Person Tracking. CVPR Workshops 2003: 100 - [c64]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
A Bayesian Approach to Image-Based Visual Hull Reconstruction. CVPR (1) 2003: 187-194 - [c63]Louis-Philippe Morency, Ali Rahimi, Trevor Darrell:
Adaptive View-Based Appearance Models. CVPR (1) 2003: 803-812 - [c62]Kimberle Koile, Konrad Tollmar, David Demirdjian, Howard E. Shrobe, Trevor Darrell:
Activity Zones for Context-Aware Computing. UbiComp 2003: 90-106 - [c61]Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell:
Inferring 3D Structure with a Statistical Image-Based Shape Model. ICCV 2003: 641-648 - [c60]Gregory Shakhnarovich, Paul A. Viola, Trevor Darrell:
Fast Pose Estimation with Parameter-Sensitive Hashing. ICCV 2003: 750-759 - [c59]David Demirdjian, Teresa Ko, Trevor Darrell:
Constraining Human Body Tracking. ICCV 2003: 1071-1078 - [c58]John W. Fisher III, Trevor Darrell:
Learning cross-modal appearance models with application to tracking. ICME 2003: 13-16 - [c57]Michael Siracusa, Louis-Philippe Morency, Kevin W. Wilson, John W. Fisher III, Trevor Darrell:
A multi-modal approach for determining speaker location and focus. ICMI 2003: 77-80 - [c56]Teresa Ko, David Demirdjian, Trevor Darrell:
Untethered gesture acquisition and recognition for a multimodal conversational system. ICMI 2003: 147-150 - [e1]Sharon L. Oviatt, Trevor Darrell, Mark T. Maybury, Wolfgang Wahlster:
Proceedings of the 5th International Conference on Multimodal Interfaces, ICMI 2003, Vancouver, British Columbia, Canada, November 5-7, 2003. ACM 2003, ISBN 1-58113-621-8 [contents] - 2002
- [j12]Leonid Taycher, Trevor Darrell:
Range Segmentation Using Visibility Constraints. Int. J. Comput. Vis. 47(1-3): 89-98 (2002) - [j11]David Demirdjian, Trevor Darrell:
Using Multiple-Hypothesis Disparity Maps and Image Velocity for 3-D Motion Estimation. Int. J. Comput. Vis. 47(1-3): 219-22 (2002) - [c55]Louis-Philippe Morency, Ali Rahimi, Trevor Darrell:
Fast 3D Model Acquisition from Stereo Images. 3DPVT 2002: 172-176 - [c54]Alice Oh, Harold Fox, Max Van Kleek, Aaron Adler, Krzysztof Gajos, Louis-Philippe Morency, Trevor Darrell:
Evaluating look-to-talk: a gaze-aware interface in a collaborative environment. CHI Extended Abstracts 2002: 650-651 - [c53]John W. Fisher III, Trevor Darrell:
Probabalistic Models and Informative Subspaces for Audiovisual Correspondence. ECCV (3) 2002: 592-603 - [c52]Gregory Shakhnarovich, John W. Fisher III, Trevor Darrell:
Face Recognition from Long-Term Observations. ECCV (3) 2002: 851-868 - [c51]Gregory Shakhnarovich, Trevor Darrell:
On Probabilistic Combination of Face and Gait Cues for Identification. FGR 2002: 176-181 - [c50]Louis-Philippe Morency, Ali Rahimi, Neal Checka, Trevor Darrell:
Fast Stereo-Based Head Tracking for Interactive Environments. FGR 2002: 390-395 - [c49]Trevor Darrell, Konrad Tollmar, Frank Bentley, Neal Checka, Louis-Philippe Morency, Ali Rahimi, Alice Oh:
Face-Responsive Interfaces: From Direct Manipulation to Perceptive Presence. UbiComp 2002: 135-151 - [c48]Kevin W. Wilson, Trevor Darrell:
Audio-video array source localization for intelligent environments. ICASSP 2002: 2109-2112 - [c47]John W. Fisher III, Trevor Darrell:
Informative subspaces for audio-visual processing: High-level function from low-level fusion. ICASSP 2002: 4104-4107 - [c46]David Demirdjian, Trevor Darrell:
3-D Articulated Pose Tracking for Untethered Diectic Reference. ICMI 2002: 267-272 - [c45]Kevin W. Wilson, Vibhav Rangarajan, Neal Checka, Trevor Darrell:
Audiovisual Arrays for Untethered Spoken Interfaces. ICMI 2002: 389-394 - [c44]Louis-Philippe Morency, Trevor Darrell:
Stereo Tracking Using ICP and Normal Flow Constraint. ICPR (4) 2002: 367- - [c43]Ali Rahimi, Trevor Darrell:
Bayesian network for online global pose estimation. IROS 2002: 427-433 - [c42]Ali Rahimi, Trevor Darrell:
Location Estimation with a Differential Update Network. NIPS 2002: 1049-1056 - [c41]Leonid Taycher, John W. Fisher III, Trevor Darrell:
Recovering Articulated Model Topology from Observed Rigid Motion. NIPS 2002: 1311-1318 - [c40]David Demirdjian, Konrad Tollmar, Kimberle Koile, Neal Checka, Trevor Darrell:
Activity maps for location-aware computing. WACV 2002: 70- - 2001
- [j10]Mark S. Ackerman, Trevor Darrell, Daniel J. Weitzner:
Privacy in Context. Hum. Comput. Interact. 16(2-4): 167-176 (2001) - [j9]Trevor Darrell, Michele Covell:
Correspondence with Cumulative Similiarity Transforms. IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 222-227 (2001) - [c39]Gregory Shakhnarovich, Lily Lee, Trevor Darrell:
Integrated Face and Gait Recognition From Multiple Views. CVPR (1) 2001: 439-446 - [c38]David Demirdjian, Trevor Darrell:
Motion Estimation from Disparity Images. ICCV 2001: 213-218 - [c37]Ali Rahimi, Louis-Philippe Morency, Trevor Darrell:
Reducing Drift in Parametric Motion Tracking. ICCV 2001: 315-322 - [c36]Trevor Darrell, David Demirdjian, Neal Checka, Pedro F. Felzenszwalb:
Plan-View Trajectory Estimation with Dense Stereo Background Models. ICCV 2001: 628-635 - [c35]John W. Fisher III, Trevor Darrell:
Signal level fusion for multimodal perceptual user interface. PUI 2001: 4:1-4:7 - [c34]Kevin W. Wilson, Neal Checka, David Demirdjian, Trevor Darrell:
Audio-video array source separation for perceptual user interfaces. PUI 2001: 4:1-4:7 - 2000
- [j8]Trevor Darrell, Gaile G. Gordon, Michael Harville, John Woodfill:
Integrated Person Tracking Using Stereo, Color, and Pattern Detection. Int. J. Comput. Vis. 37(2): 175-185 (2000) - [c33]Michele Covell, Ali Rahimi, Michael Harville, Trevor Darrell:
Articulated-Pose Estimation Using Brightness and Depth-Constancy Constraints. CVPR 2000: 2438-2445 - [c32]Trevor Darrell, John W. Fisher III, Paul A. Viola, William T. Freeman:
Ausio-visual Segmentation and "The Cocktail Party Effect". ICMI 2000: 32-40 - [c31]John W. Fisher III, Trevor Darrell, William T. Freeman, Paul A. Viola:
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation. NIPS 2000: 772-778
1990 – 1999
- 1999
- [c30]Michele Covell, Trevor Darrell:
Dynamic Occluding Contours: A New External-Energy Term for Snakes. CVPR 1999: 2232-2238 - [c29]Gaile G. Gordon, Trevor Darrell, Michael Harville, John Woodfill:
Background Estimation and Removal Based on Range and Color. CVPR 1999: 2459-2464 - [c28]Michael Harville, Ali Rahimi, Trevor Darrell, Gaile G. Gordon, John Woodfill:
3D Pose Tracking with Linear Depth and Brightness Constraints. ICCV 1999: 206-213 - 1998
- [c27]Trevor Darrell, Gaile G. Gordon, Michael Harville, John Woodfill:
Integrated Person Tracking Using Stereo, Color, and Pattern Detection. CVPR 1998: 601-608 - [c26]Trevor Darrell:
A Radial Cumulative Similarity Transform for Robust Image Correspondence. CVPR 1998: 656-662 - [c25]Trevor Darrell, Gaile G. Gordon, Michael Harville, John Woodfill:
Magic Morphin' Mirror: Person Detection and Tracking. CVPR 1998: 964 - [c24]Trevor Darrell, Gaile G. Gordon, John Woodfill, Michael Harville:
A Virtual Mirror Interface Using Real-Time Robust Face Tracking. FG 1998: 616-622 - [c23]Trevor Darrell:
Example-Based Image Synthesis of Articulated Figures. NIPS 1998: 768-774 - [c22]Trevor Darrell, H. Harville, Gaile G. Gordon, John Woodfill:
Mass hallucination. SIGGRAPH Abstracts and Applications 1998: 113 - 1997
- [j7]Christopher Richard Wren, Flavia Sparacino, Ali Azarbayejani, Trevor Darrell, Thad Starner, Akira Kotani, Chloe M. Chao, Michal Hlavac, Kenneth B. Russell, Alex Pentland:
Perceptive Spaces for Performance and Entertainment Untethered Interaction Using Computer Vision and Audition. Appl. Artif. Intell. 11(4): 267-284 (1997) - [j6]Pattie Maes, Trevor Darrell, Bruce Blumberg, Alex Pentland:
The ALIVE System: Wireless, Full-Body Interaction with Autonomous Agents. Multim. Syst. 5(2): 105-112 (1997) - [j5]Christopher Richard Wren, Ali Azarbayejani, Trevor Darrell, Alex Pentland:
Pfinder: Real-Time Tracking of the Human Body. IEEE Trans. Pattern Anal. Mach. Intell. 19(7): 780-785 (1997) - [c21]Trevor Darrell, Harlyn Baker, Franklin C. Crow, Gaile Gordon, John Woodfill:
Magic morphin mirror: face-sensitive distortion and exaggeration. SIGGRAPH Visual Proceedings 1997: 120 - 1996
- [j4]Trevor Darrell, Irfan A. Essa, Alex Pentland:
Task-Specific Gesture Analysis in Real-Time Using Interpolated Views. IEEE Trans. Pattern Anal. Mach. Intell. 18(12): 1236-1242 (1996) - [c20]Irfan A. Essa, Sumit Basu, Trevor Darrell, Alex Pentland:
Modeling, Tracking and Interactive Animation of Faces and Heads Using Input from Video. CA 1996: 68-79 - [c19]Trevor Darrell, Baback Moghaddam, Alex Pentland:
Active Face Tracking and Pose Estimation in an Interactive Room. CVPR 1996: 67-72 - [c18]Christopher Richard Wren, Ali Azarbayejani, Trevor Darrell, Alex Pentland:
Pfinder: real-time tracking of the human body. FG 1996: 51-59 - [c17]Trevor Darrell, Alex Pentland:
Active gesture recognition using partially observable Markov decision processes. ICPR 1996: 984-988 - 1995
- [j3]Trevor Darrell, Alex Pentland:
Cooperative Robust Estimation Using Layers of Support. IEEE Trans. Pattern Anal. Mach. Intell. 17(5): 474-487 (1995) - [c16]Pattie Maes, Trevor Darrell, Bruce Blumberg, Alex Pentland:
The ALIVE system: full-body interaction with autonomous agents. CA 1995: 11-18 - [c15]Pattie Maes, Bruce Blumberg, Trevor Darrell, Alex Pentland, Alan Wexelblat:
Modeling Interactive Agents in ALIVE. IJCAI 1995: 2073-2074 - [c14]Trevor Darrell, Alex Pentland:
Active Gesture Recognition using Learned Visual Attention. NIPS 1995: 858-864 - 1994
- [j2]Michael Patrick Johnson, Pattie Maes, Trevor Darrell:
Evolving Visual Routines. Artif. Life 1(4): 373-389 (1994) - [c13]Pattie Maes, Trevor Darrell, Bruce Blumberg, Alex Pentland:
ALIVE: Artificial Life Interactive Video Environment. AAAI 1994: 1506 - [c12]Alex Pentland, Trevor Darrell, Irfan A. Essa, Ali Azarbayejani, Stan Sclaroff:
Visually guided animation. CA 1994: 112-121 - [c11]Alex Pentland, Trevor Darrell:
Visual perception of human bodies and faces for multi-modal interfaces. ICSLP 1994: 543-546 - [c10]Trevor Darrell, Irfan A. Essa, Alex Pentland:
Correlation and Interpolation Networks for Real-time Expression Analysis/Synthesis. NIPS 1994: 909-916 - 1993
- [c9]Trevor Darrell, Alex Pentland:
Space-time gestures. CVPR 1993: 335-340 - [c8]Trevor Darrell, Eero Peter Simonecelli:
'Nulling' filters and the separation of transparent motions. CVPR 1993: 738-739 - [c7]Trevor Darrell, Alex Pentland:
Classifying Hand Gestures with a View-Based Distributed Representation. NIPS 1993: 945-952 - 1991
- [c6]Trevor Darrell, Alex Pentland:
On the representation of occluded shapes. CVPR 1991: 728-729 - [c5]Trevor Darrell, Alex Pentland:
Against Edges: Function Approximation with Multiple Support Maps. NIPS 1991: 388-395 - 1990
- [j1]Trevor Darrell, Kwangyoen Wohn:
Depth from focus using a pyramid architecture. Pattern Recognit. Lett. 11(12): 787-796 (1990) - [c4]Trevor Darrell, Stan Sclaroff, Alex Pentland:
Segmentation by minimal description. ICCV 1990: 112-116
1980 – 1989
- 1989
- [c3]Alex Pentland, Trevor Darrell, Matthew A. Turk, W. Huang:
A simple, real-time range camera. CVPR 1989: 256-261 - 1988
- [c2]Trevor Darrell, Kwangyoen Wohn:
Pyramid based depth from focus. CVPR 1988: 504-509 - 1987
- [c1]Ned Batchelder, Trevor Darrell:
PSFIG - A DITROFF Preprocessor for Postscript Figures. USENIX Summer 1987: 31-42
Coauthor Index
C. Mario Christoudias
aka: Chris Mario Christoudias
aka: Chris Mario Christoudias
Jeff Donahue
aka: Jeffrey Donahue
aka: Jeffrey Donahue
Alexei A. Efros
aka: Alyosha A. Efros
aka: Alyosha A. Efros
Joseph Gonzalez 0001
aka: Joseph E. Gonzalez
aka: Joseph E. Gonzalez
Colorado Reed
aka: Colorado J. Reed
aka: Colorado J. Reed
[c398] [c396] [c384] [c383] [c376] [c375] [i248] [i225] [c372] [c369] [c367] [c366] [c364] [c361] [c360] [c353] [c352] [c350] [c349] [i214] [i211] [i209] [i206] [i204] [i203] [i200] [i192] [i190] [i189] [c340] [c327] [c320] [c319] [i178] [i172] [i170] [i165] [i162] [i161] [i160] [c314] [c309] [i142] [c298] [c297] [c290] [c288] [c282] [i131] [i124] [i122] [c264] [c262] [c258] [c257] [c255] [c246] [i106] [i105] [i101] [i97] [i92] [i89] [i78] [c245] [i66] [i65] [i62] [c218] [c216] [i52] [i33]
[c396] [i248] [c364] [i206] [c331] [c313] [c308] [c305] [i156] [i138] [c297] [c295] [c290] [i121] [i113] [c262] [i106] [i78] [j41] [c243] [c240] [c237] [i72] [i62] [c227] [c226] [c222] [c221] [c220] [c218] [c216] [c210] [i58] [i57] [i56] [i52] [i51] [i49] [i47] [i44] [c205] [c201] [c198] [i40] [i36] [i34] [i33] [i32] [i31] [i12]
[c363] [i215] [c338] [c335] [i167] [i163] [c300] [i155] [i153] [i136] [i133] [c298] [c285] [c282] [i127] [i124] [i122] [c261] [c257] [c255] [c248] [c246] [i101] [i97] [i94] [i89] [i82] [i76] [j41] [c243] [c242] [c240] [c237] [c232] [p2] [i74] [i72] [i64] [j40] [j38] [c227] [c222] [c209] [i51] [i47] [c205] [c204] [c201] [c199] [c198] [i40] [i37] [i36] [i32] [i31] [i26] [j30] [c191] [c184] [c180] [c179] [c178] [i18] [i12] [i11] [i10] [c177] [c174] [c168] [p1] [i8] [i3] [c166] [c163] [c156] [c154] [c151] [c148] [c146] [c142] [c139] [j26] [c127] [c117] [c107] [c102] [c92] [c89] [c73]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-20 01:43 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
