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ORCIDRogério Feris
Rogério Schmidt Feris
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- affiliation: IBM T. J. Watson Research Center, Hawthorne, USA
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2020 – today
- 2025
[i110]Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogério Feris, Zexue He:
M+: Extending MemoryLLM with Scalable Long-Term Memory. CoRR abs/2502.00592 (2025)- 2024
- [c163]Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky:
Self-Specialization: Uncovering Latent Expertise within Large Language Models. ACL (Findings) 2024: 2681-2706 - [c162]James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky:
Adaptive Memory Replay for Continual Learning. CVPR Workshops 2024: 3605-3615 - [c161]Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne:
What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CVPR 2024: 18419-18429 - [c160]Aaron K. Baughman
, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogério Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky:
Large Scale Generative AI Text Applied to Sports and Music. KDD 2024: 4784-4792 - [c159]Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim:
LangNav: Language as a Perceptual Representation for Navigation. NAACL-HLT (Findings) 2024: 950-974 - [c158]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 - [c157]Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky:
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. NeurIPS 2024 - [c156]Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass:
DASS: Distilled Audio State Space Models are Stronger and More Duration-Scalable Learners. SLT 2024: 1015-1022 - [c155]Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko:
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV 2024: 946-956 - [i109]Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris:
CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory. CoRR abs/2402.13449 (2024) - [i108]Aaron K. Baughman, Stephen Hammer, Rahul Agarwal, Gozde Akay, Eduardo Morales, Tony Johnson, Leonid Karlinsky, Rogério Feris:
Large Scale Generative AI Text Applied to Sports and Music. CoRR abs/2402.15514 (2024) - [i107]James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky:
Adaptive Memory Replay for Continual Learning. CoRR abs/2404.12526 (2024) - [i106]Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky:
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR abs/2405.17258 (2024) - [i105]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) - [i104]Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky:
Comparison Visual Instruction Tuning. CoRR abs/2406.09240 (2024) - [i103]Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass:
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. CoRR abs/2406.10082 (2024) - [i102]Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter:
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. CoRR abs/2406.12034 (2024) - [i101]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) - [i100]Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Scaling Granite Code Models to 128K Context. CoRR abs/2407.13739 (2024) - [i99]Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass:
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. CoRR abs/2410.06154 (2024) - [i98]Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza:
Teaching VLMs to Localize Specific Objects from In-context Examples. CoRR abs/2411.13317 (2024) - [i97]Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass:
State-Space Large Audio Language Models. CoRR abs/2411.15685 (2024) - [i96]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) - [i95]Sarthak Kumar Maharana, Baoming Zhang, Leonid Karlinsky, Rogério Feris, Yunhui Guo:
Enhancing Robustness of CLIP to Common Corruptions through Bimodal Test-Time Adaptation. CoRR abs/2412.02837 (2024) - 2023
- [c154]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) 2023: 8080-8098 - [c153]Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky:
Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR 2023: 2657-2668 - [c152]James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira:
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning. CVPR 2023: 11909-11919 - [c151]James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky:
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CVPR 2023: 14994-15004 - [c150]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 - [c149]Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass:
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP 2023: 1-5 - [c148]Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof:
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV 2023: 2839-2850 - [c147]Kaihong Wang, Donghyun Kim, Rogério Feris, Margrit Betke:
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation. ICCV 2023: 11485-11495 - [c146]Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky:
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV 2023: 20098-20108 - [c145]Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR 2023 - [c144]Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim:
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. ICLR 2023 - [c143]Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass:
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. INTERSPEECH 2023: 2268-2272 - [c142]Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky:
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS 2023 - [c141]Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogério Feris, Horst Bischof:
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. NeurIPS 2023 - [c140]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. NeurIPS 2023 - [c139]Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi:
Addressing Feature Suppression in Unsupervised Visual Representations. WACV 2023: 1411-1420 - [c138]Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. WACV 2023: 4199-4208 - [i94]Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR abs/2303.00980 (2023) - [i93]Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim:
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning. CoRR abs/2303.02861 (2023) - [i92]Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof:
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR abs/2303.08914 (2023) - [i91]Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko:
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection. CoRR abs/2303.14744 (2023) - [i90]Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne:
What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR abs/2303.16990 (2023) - [i89]Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky:
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR abs/2303.17590 (2023) - [i88]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) - [i87]Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass:
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. CoRR abs/2305.12606 (2023) - [i86]Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Mateusz Kozinski, Horst Possegger, Rogério Feris, Horst Bischof:
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. CoRR abs/2305.18287 (2023) - [i85]Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky:
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR abs/2305.19595 (2023) - [i84]Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Rogério Feris, Horst Bischof:
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification. CoRR abs/2309.06809 (2023) - [i83]Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky:
Self-Specialization: Uncovering Latent Expertise within Large Language Models. CoRR abs/2310.00160 (2023) - [i82]Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim:
LangNav: Language as a Perceptual Representation for Navigation. CoRR abs/2310.07889 (2023) - [i81]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. CoRR abs/2311.06231 (2023) - 2022
- [j21]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris:
A Maximal Correlation Framework for Fair Machine Learning. Entropy 24(4): 461 (2022) - [j20]Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9434-9445 (2022) - [j19]Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. 160: 142-147 (2022) - [c137]Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez:
Sim VQA: Exploring Simulated Environments for Visual Question Answering. CVPR 2022: 5046-5056 - [c136]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CVPR 2022: 5206-5216 - [c135]Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky:
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 2022: 5270-5280 - [c134]Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR 2022: 6908-6918 - [c133]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR 2022: 9184-9194 - [c132]Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne:
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR 2022: 19988-19997 - [c131]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris:
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP 2022: 3523-3527 - [c130]Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky:
FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS 2022 - [c129]Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. NeurIPS 2022 - [c128]Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris:
How Transferable are Video Representations Based on Synthetic Data? NeurIPS 2022 - [i80]Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez:
SimVQA: Exploring Simulated Environments for Visual Question Answering. CoRR abs/2203.17219 (2022) - [i79]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CoRR abs/2206.00100 (2022) - [i78]Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky:
FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR abs/2209.03648 (2022) - [i77]Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass:
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR abs/2210.03625 (2022) - [i76]James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky:
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning. CoRR abs/2211.09790 (2022) - [i75]Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky:
Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR abs/2211.11733 (2022) - [i74]James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira:
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning. CoRR abs/2211.13218 (2022) - [i73]Kaihong Wang, Donghyun Kim, Rogério Feris, Kate Saenko, Margrit Betke:
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation. CoRR abs/2211.14703 (2022) - [i72]Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. CoRR abs/2211.16412 (2022) - [i71]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR abs/2212.09864 (2022) - 2021
- [j18]Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. 149: 130-136 (2021) - [c127]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes:
StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI 2021: 1743-1753 - [c126]Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI 2021: 9294-9302 - [c125]Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CVPR Workshops 2021: 2378-2387 - [c124]Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko:
Separating Skills and Concepts for Novel Visual Question Answering. CVPR 2021: 5632-5641 - [c123]Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR 2021: 6165-6175 - [c122]Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky:
Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR 2021: 8730-8740 - [c121]Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition With Temporal Contrastive Learning. CVPR 2021: 10389-10399 - [c120]Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogério Feris:
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. CVPR 2021: 11307-11317 - [c119]Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva:
Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. CVPR 2021: 14871-14881 - [c118]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [c117]Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. ICCV 2021: 7355-7365 - [c116]Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV 2021: 7556-7565 - [c115]Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV 2021: 7992-8001 - [c114]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV 2021: 8825-8835 - [c113]Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris:
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR 2021 - [c112]Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris:
VA-RED2: Video Adaptive Redundancy Reduction. ICLR 2021 - [c111]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech 2021: 1584-1588 - [c110]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech 2021: 3006-3010 - [c109]Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS 2021: 3584-3595 - [c108]Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva:
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS 2021: 24898-24911 - [i70]Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition with Temporal Contrastive Learning. CoRR abs/2102.02751 (2021) - [i69]Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris:
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR abs/2102.05775 (2021) - [i68]Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris:
VA-RED2: Video Adaptive Redundancy Reduction. CoRR abs/2102.07887 (2021) - [i67]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko:
All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR abs/2103.01435 (2021) - [i66]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR abs/2103.13517 (2021) - [i65]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. CoRR abs/2104.09829 (2021) - [i64]Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR abs/2104.12671 (2021) - [i63]Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CoRR abs/2104.14082 (2021) - [i62]Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva:
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions. CoRR abs/2105.04489 (2021) - [i61]Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR abs/2105.05165 (2021) - [i60]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR abs/2106.07807 (2021) - [i59]Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva:
IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers. CoRR abs/2106.12620 (2021) - [i58]Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko:
Separating Skills and Concepts for Novel Visual Question Answering. CoRR abs/2107.09106 (2021) - [i57]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. CoRR abs/2108.10394 (2021) - [i56]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. CoRR abs/2111.04823 (2021) - [i55]Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CoRR abs/2111.13998 (2021) - [i54]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR abs/2112.00054 (2021) - [i53]Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky:
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR abs/2112.02300 (2021) - [i52]Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne:
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR abs/2112.04446 (2021) - 2020
- [c107]Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris:
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops 2020: 1009-1018 - [c106]Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CVPR Workshops 2020: 4043-4047 - [c105]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CVPR 2020: 12632-12641 - [c104]Chung-Ching Lin, Ying Hung, Rogério Feris, Linglin He:
Video Instance Segmentation Tracking With a Modified VAE Architecture. CVPR 2020: 13144-13154 - [c103]Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva:
We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. ECCV (18) 2020: 18-34 - [c102]Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris:
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) 2020: 86-104 - [c101]Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris:
A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) 2020: 124-141 - [c100]Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das:
Mitigating Dataset Imbalance via Joint Generation and Classification. ECCV Workshops (6) 2020: 177-193 - [c99]Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. ECCV (7) 2020: 313-329 - [c98]Moshe Lichtenstein, Prasanna Sattigeri, Rogério Feris, Raja Giryes, Leonid Karlinsky:
TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. ECCV (7) 2020: 522-539 - [c97]Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko:
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. NeurIPS 2020 - [i51]Moshe Lichtenstein, Prasanna Sattigeri, Rogério Schmidt Feris, Raja Giryes, Leonid Karlinsky:
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification. CoRR abs/2003.06670 (2020) - [i50]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes:
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR abs/2003.06798 (2020) - [i49]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CoRR abs/2003.08040 (2020) - [i48]Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CoRR abs/2004.00794 (2020) - [i47]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR abs/2006.09199 (2020) - [i46]Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR abs/2006.13314 (2020) - [i45]Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. CoRR abs/2007.09271 (2020) - [i44]Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris:
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR abs/2007.15796 (2020) - [i43]Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das:
Mitigating Dataset Imbalance via Joint Generation and Classification. CoRR abs/2008.05524 (2020) - [i42]Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva:
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos. CoRR abs/2008.05596 (2020) - [i41]Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR abs/2010.11757 (2020) - [i40]Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR abs/2011.10608 (2020) - [i39]Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogério Schmidt Feris, Kate Saenko:
Learning from Lexical Perturbations for Consistent Visual Question Answering. CoRR abs/2011.13406 (2020) - [i38]Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. CoRR abs/2012.03358 (2020) - [i37]Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky:
Fine-grained Angular Contrastive Learning with Coarse Labels. CoRR abs/2012.03515 (2020) - [i36]Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris:
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. CoRR abs/2012.15259 (2020)
2010 – 2019
- 2019
- [j17]Michele Merler, Khoi-Nguyen C. Mac, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris:
Automatic Curation of Sports Highlights Using Multimodal Excitement Features. IEEE Trans. Multim. 21(5): 1147-1160 (2019) - [c96]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c95]Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Identifying Interpretable Action Concepts in Deep Networks. CVPR Workshops 2019: 12-15 - [c94]Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass:
Grounding Spoken Words in Unlabeled Video. CVPR Workshops 2019: 29-32 - [c93]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR 2019: 4805-4814 - [c92]Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR 2019: 5197-5206 - [c91]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR 2019: 6548-6557 - [c90]Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do:
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. ICCV 2019: 6281-6290 - [c89]Mayoore Jaiswal, H. Peter Hofstee, Valerie Chen, Suvadip Paul, Rogério Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah:
Video-Text Compliance: Activity Verification Based on Natural Language Instructions. ICCV Workshops 2019: 1503-1512 - [c88]Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. ICLR (Poster) 2019 - [i35]Michele Merler, Nalini K. Ratha, Rogério Schmidt Feris, John R. Smith:
Diversity in Faces. CoRR abs/1901.10436 (2019) - [i34]Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing:
Depthwise Convolution is All You Need for Learning Multiple Visual Domains. CoRR abs/1902.00927 (2019) - [i33]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR abs/1902.09811 (2019) - [i32]Xiaoxiao Guo, Hui Wu, Yupeng Gao, Steven Rennie, Rogério Schmidt Feris:
The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback. CoRR abs/1905.12794 (2019) - [i31]Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. CoRR abs/1906.01905 (2019) - [i30]Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva:
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. CoRR abs/1911.00232 (2019) - [i29]Ximeng Sun, Rameswar Panda, Rogério Schmidt Feris:
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning. CoRR abs/1911.12423 (2019) - [i28]Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. CoRR abs/1912.00412 (2019) - [i27]Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris:
A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. CoRR abs/1912.07200 (2019) - 2018
- [j16]Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
RED-Net: A Recurrent Encoder-Decoder Network for Video-Based Face Alignment. Int. J. Comput. Vis. 126(10): 1103-1119 (2018) - [c87]Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas:
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. CVPR 2018: 2226-2234 - [c86]Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman:
Learning to Separate Object Sounds by Watching Unlabeled Video. CVPR Workshops 2018: 2496-2499 - [c85]Michele Merler, Dhiraj Joshi, Khoi-Nguyen C. Mac, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris:
The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues. CVPR Workshops 2018: 2520-2523 - [c84]Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris:
BlockDrop: Dynamic Inference Paths in Residual Networks. CVPR 2018: 8817-8826 - [c83]Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman:
Learning to Separate Object Sounds by Watching Unlabeled Video. ECCV (3) 2018: 36-54 - [c82]Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang:
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. ECCV (15) 2018: 473-490 - [c81]Noel C. F. Codella, Daren Anderson, Tyler Philips, Anthony Porto, Kevin Massey, Jane Snowdon, Rogério Schmidt Feris, John R. Smith:
Segmentation of Both Diseased and Healthy Skin From Clinical Photographs in a Primary Care Setting. EMBC 2018: 3414-3417 - [c80]Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith:
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. MLCN/DLF/iMIMIC@MICCAI 2018: 97-105 - [c79]Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris:
Dialog-based Interactive Image Retrieval. NeurIPS 2018: 676-686 - [c78]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS 2018: 2850-2860 - [c77]Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, Bill Freeman, Gregory W. Wornell:
Co-regularized Alignment for Unsupervised Domain Adaptation. NeurIPS 2018: 9367-9378 - [c76]Mandis Beigi, Lisa M. Brown, Quanfu Fan, John Henning, Chung-Ching Lin, Honghui Shi, Chiao-Fe Shu, Rogério Schmidt Feris:
Object-Centric Spatio-Temporal Activity Detection and Recognition. TRECVID 2018 - [i26]Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment. CoRR abs/1801.06066 (2018) - [i25]Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang:
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. CoRR abs/1803.06799 (2018) - [i24]Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman:
Learning to Separate Object Sounds by Watching Unlabeled Video. CoRR abs/1804.01665 (2018) - [i23]Noel C. F. Codella, Daren Anderson, Tyler Philips, Anthony Porto, Kevin Massey, Jane Snowdon, Rogério Schmidt Feris, John R. Smith:
Segmentation of both Diseased and Healthy Skin from Clinical Photographs in a Primary Care Setting. CoRR abs/1804.05944 (2018) - [i22]Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris:
Dialog-based Interactive Image Retrieval. CoRR abs/1805.00145 (2018) - [i21]Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas:
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. CoRR abs/1805.09707 (2018) - [i20]Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith:
Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. CoRR abs/1805.12234 (2018) - [i19]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR abs/1806.04728 (2018) - [i18]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR abs/1806.04734 (2018) - [i17]Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. CoRR abs/1807.03848 (2018) - [i16]Bowen Cheng, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Honghui Shi:
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection. CoRR abs/1810.04002 (2018) - [i15]Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, William T. Freeman, Gregory W. Wornell:
Co-regularized Alignment for Unsupervised Domain Adaptation. CoRR abs/1811.05443 (2018) - [i14]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR abs/1811.08737 (2018) - [i13]Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do:
Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. CoRR abs/1811.08815 (2018) - 2017
- [c75]Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris:
Automatic Curation of Golf Highlights Using Multimodal Excitement Features. CVPR Workshops 2017: 57-65 - [c74]Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris:
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CVPR 2017: 1131-1140 - [c73]Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. CVPR 2017: 4003-4011 - [c72]Dhiraj Joshi, Michele Merler, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris:
IBM High-Five: Highlights From Intelligent Video Engine. ACM Multimedia 2017: 1249-1250 - [i12]Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris:
Automatic Curation of Golf Highlights using Multimodal Excitement Features. CoRR abs/1707.07075 (2017) - [i11]Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris:
BlockDrop: Dynamic Inference Paths in Residual Networks. CoRR abs/1711.08393 (2017) - [i10]Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang:
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR abs/1712.00886 (2017) - 2016
- [j15]Jun Xie, Rogério Schmidt Feris, Ming-Ting Sun:
Edge-Guided Single Depth Image Super Resolution. IEEE Trans. Image Process. 25(1): 428-438 (2016) - [c71]Jing Wang, Yu Cheng, Rogério Schmidt Feris:
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CVPR 2016: 2295-2304 - [c70]Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
A Recurrent Encoder-Decoder Network for Sequential Face Alignment. ECCV (1) 2016: 38-56 - [c69]Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos:
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. ECCV (4) 2016: 354-370 - [i9]Jing Wang, Yu Cheng, Rogério Schmidt Feris:
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. CoRR abs/1604.06433 (2016) - [i8]Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos:
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. CoRR abs/1607.07155 (2016) - [i7]Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas:
A Recurrent Encoder-Decoder Network for Sequential Face Alignment. CoRR abs/1608.05477 (2016) - [i6]Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang:
Generative Adversarial Networks as Variational Training of Energy Based Models. CoRR abs/1611.01799 (2016) - [i5]Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris:
S3Pool: Pooling with Stochastic Spatial Sampling. CoRR abs/1611.05138 (2016) - [i4]Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris:
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. CoRR abs/1611.05377 (2016) - 2015
- [j14]Jun Xie, Yu-Feng Hsu, Rogério Schmidt Feris, Ming-Ting Sun:
Fine registration of 3D point clouds fusing structural and photometric information using an RGB-D camera. J. Vis. Commun. Image Represent. 32: 194-204 (2015) - [j13]Jun Xie, Rogério Schmidt Feris, Shiaw-Shian Yu, Ming-Ting Sun:
Joint Super Resolution and Denoising From a Single Depth Image. IEEE Trans. Multim. 17(9): 1525-1537 (2015) - [c68]Rogério Schmidt Feris, Russell Bobbitt, Sharath Pankanti, Ming-Ting Sun:
Efficient 24/7 object detection in surveillance videos. AVSS 2015: 1-6 - [c67]Qiang Chen, Junshi Huang, Rogério Schmidt Feris, Lisa M. Brown, Jian Dong, Shuicheng Yan:
Deep domain adaptation for describing people based on fine-grained clothing attributes. CVPR 2015: 5315-5324 - [c66]Junshi Huang, Rogério Schmidt Feris, Qiang Chen, Shuicheng Yan:
Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network. ICCV 2015: 1062-1070 - [c65]Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang:
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections. ICCV 2015: 2857-2865 - [c64]John Bowler, Rogério Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou:
Automated Axon Segmentation from Highly Noisy Microscopic Videos. WACV 2015: 915-920 - [e2]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ioannis T. Pavlidis, Rogério Schmidt Feris, Tim McGraw, Mark Elendt, Regis Kopper, Eric D. Ragan, Zhao Ye, Gunther H. Weber:
Advances in Visual Computing - 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9474, Springer 2015, ISBN 978-3-319-27856-8 [contents] - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ioannis T. Pavlidis, Rogério Schmidt Feris, Tim McGraw, Mark Elendt, Regis Kopper, Eric D. Ragan, Zhao Ye, Gunther H. Weber:
Advances in Visual Computing - 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9475, Springer 2015, ISBN 978-3-319-27862-9 [contents] - [i3]Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang:
Fast Neural Networks with Circulant Projections. CoRR abs/1502.03436 (2015) - [i2]Junshi Huang, Rogério Schmidt Feris, Qiang Chen, Shuicheng Yan:
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network. CoRR abs/1505.07922 (2015) - 2014
- [c63]Jun Xie, Rogério Schmidt Feris, Ming-Ting Sun:
Edge guided single depth image super resolution. ICIP 2014: 3773-3777 - [c62]Andrea Britto Mottos, Rogério Schmidt Feris:
Fusing well-crafted feature descriptors for efficient fine-grained classification. ICIP 2014: 5197-5201 - [c61]Yu Cheng, Lisa M. Brown, Qibin Fan, Rogério Schmidt Feris, Sharath Pankanti, Tao Zhang:
RiskWheel: Interactive visual analytics for surveillance event detection. ICME 2014: 1-6 - [c60]Jun Xie, Cheng-Chuan Chou, Rogério Schmidt Feris, Ming-Ting Sun:
Single depth image super resolution and denoising via coupled dictionary learning with local constraints and shock filtering. ICME 2014: 1-6 - [c59]Rogério Schmidt Feris, Lisa M. Brown, Sharath Pankanti, Ming-Ting Sun:
Appearance-Based Object Detection Under Varying Environmental Conditions. ICPR 2014: 166-171 - [c58]Lisa M. Brown, Rogério Schmidt Feris, Sharathchandra Pankanti:
Temporal Non-maximum Suppression for Pedestrian Detection Using Self-Calibration. ICPR 2014: 2239-2244 - [c57]Andréa Britto Mattos, Ricardo Herrmann, Kelly Kiyumi Shigeno, Rogério Schmidt Feris:
A mission-oriented citizen science platform for efficient flower classification based on combination of feature descriptors. EMR@ICMR 2014: 45-52 - [c56]Rogério Schmidt Feris, Russell Bobbitt, Lisa M. Brown, Sharath Pankanti:
Attribute-based People Search: Lessons Learnt from a Practical Surveillance System. ICMR 2014: 153 - [c55]Andréa Britto Mattos, Ricardo Guimarães Herrmann, Kelly Kiyumi Shigeno, Rogério Schmidt Feris:
Flower Classification for a Citizen Science Mobile App. ICMR 2014: 532 - [c54]Yu Cheng, Lisa M. Brown, Quanfu Fan, Jingjing Liu, Rogério Schmidt Feris, Alok N. Choudhary, Sharath Pankanti:
IBM-Northwestern@TRECVID 2014: Surveillance Event Detection. TRECVID 2014 - [c53]Yin Cui, Yongzhou Xiang, Kun Rong, Rogério Schmidt Feris, Liangliang Cao:
A spatial-color layout feature for representing galaxy images. WACV 2014: 213-219 - 2013
- [c52]Xiaoyu Wang, Liangliang Cao, Rogério Schmidt Feris, Ankur Datta, Tony X. Han:
Hierarchical Feature Pooling with Structure Learning: A New Method for Pedestrian Detection. CVPR Workshops 2013: 578-583 - [c51]Felix X. Yu, Liangliang Cao, Rogério Schmidt Feris, John R. Smith, Shih-Fu Chang:
Designing Category-Level Attributes for Discriminative Visual Recognition. CVPR 2013: 771-778 - [c50]Qiang Chen, Zheng Song, Rogério Schmidt Feris, Ankur Datta, Liangliang Cao, ZhongYang Huang, Shuicheng Yan:
Efficient Maximum Appearance Search for Large-Scale Object Detection. CVPR 2013: 3190-3197 - [c49]Jorge de Jesus Gomes Leandro, Roberto Marcondes Cesar Junior, Rogério Schmidt Feris:
Shape Analysis Using the Spectral Graph Wavelet Transform. e-Science 2013: 307-316 - [c48]Kristina Scherbaum, James Petterson, Rogério Schmidt Feris, Volker Blanz, Hans-Peter Seidel:
Fast Face Detector Training Using Tailored Views. ICCV 2013: 2848-2855 - [c47]Jun Xie, Yu-Feng Hsu, Rogério Schmidt Feris, Ming-Ting Sun:
Fine registration of 3D point clouds with iterative closest point using an RGB-D camera. ISCAS 2013: 2904-2907 - [c46]Qiang Chen, Yang Cai, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti:
Spatio-temporal fisher vector coding for surveillance event detection. ACM Multimedia 2013: 589-592 - [c45]Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu:
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. TRECVID 2013 - [c44]Fatemeh Mirrashed, Vlad I. Morariu, Behjat Siddiquie, Rogério Schmidt Feris, Larry S. Davis:
Domain adaptive object detection. WACV 2013: 323-330 - [c43]Rogério Schmidt Feris, Ankur Datta, Sharath Pankanti, Ming-Ting Sun:
Boosting object detection performance in crowded surveillance videos. WACV 2013: 427-432 - 2012
- [j12]Rogério Schmidt Feris, Behjat Siddiquie, James Petterson, Yun Zhai, Ankur Datta, Lisa M. Brown, Sharath Pankanti:
Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos. IEEE Trans. Multim. 14(1): 28-42 (2012) - [c42]Rogério Schmidt Feris, Sharath Pankanti, Behjat Siddiquie:
Learning Detectors from Large Datasets for Object Retrieval in Video Surveillance. ICME 2012: 284-289 - [c41]Ankur Datta, Lisa M. Brown, Rogério Schmidt Feris, Sharathchandra Pankanti:
Appearance modeling for person re-identification using Weighted Brightness Transfer Functions. ICPR 2012: 2367-2370 - [c40]Behjat Siddiquie, Rogério Schmidt Feris, Ankur Datta, Larry S. Davis:
Unsupervised model selection for view-invariant object detection in surveillance environments. ICPR 2012: 3252-3255 - [c39]Shoou-I Yu, Zhongwen Xu, Duo Ding, Waito Sze, Francisco Vicente, Zhenzhong Lan, Yang Cai, Shourabh Rawat, Peter F. Schulam, Nisarga Markandaiah, Sohail Bahmani, Antonio Juárez, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Lu Jiang, Qiang Chen, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti:
Informedia @TRECVID 2012. TRECVID 2012 - 2011
- [j11]Arun Hampapur, H. Cao, Andrew J. Davenport, W. S. Dong, Don Fenhagen, Rogério Schmidt Feris, Germán S. Goldszmidt, Z. B. Jiang, Jayant Kalagnanam, Tarun Kumar, H. Li, Xuan Liu, Shilpa Mahatma, Sharath Pankanti, D. Pelleg, W. Sun, M. Taylor, Chunhua Tian, Segev Wasserkrug, Lexing Xie, Mujib Lodhi, C. Kiely, K. Butturff, L. Desjardins:
Analytics-driven asset management. IBM J. Res. Dev. 55(1): 13 (2011) - [j10]Sharath Pankanti, Lisa M. Brown, Jonathan H. Connell, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Norman Haas, Ying Li, Nalini K. Ratha, Hoang Trinh:
Practical computer vision: Example techniques and challenges. IBM J. Res. Dev. 55(5): 3 (2011) - [j9]Ying-li Tian, Rogério Schmidt Feris, Haowei Liu, Arun Hampapur, Ming-Ting Sun:
Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos. IEEE Trans. Syst. Man Cybern. Part C 41(5): 565-576 (2011) - [c38]Behjat Siddiquie, Rogério Schmidt Feris, Larry S. Davis:
Image ranking and retrieval based on multi-attribute queries. CVPR 2011: 801-808 - [c37]Ankur Datta, Rogério Schmidt Feris, Daniel A. Vaquero:
Hierarchical ranking of facial attributes. FG 2011: 36-42 - [c36]Rogério Schmidt Feris, Behjat Siddiquie, Yun Zhai, James Petterson, Lisa M. Brown, Sharath Pankanti:
Attribute-based vehicle search in crowded surveillance videos. ICMR 2011: 18 - [c35]Rogério Schmidt Feris, James Petterson, Behjat Siddiquie, Lisa M. Brown, Sharath Pankanti:
Large-scale vehicle detection in challenging urban surveillance environments. WACV 2011: 527-533 - [p4]Haowei Liu, Rogério Schmidt Feris, Ming-Ting Sun:
Benchmarking Datasets for Human Activity Recognition. Visual Analysis of Humans 2011: 411-427 - [p3]Haowei Liu, Ming-Ting Sun, Rogério Schmidt Feris:
Automatic Video Activity Recognition. Multimedia Analysis, Processing and Communications 2011: 327-349 - 2010
- [j8]Haowei Liu, Rogério Schmidt Feris, Volker Krüger, Ming-Ting Sun:
Unsupervised Action Classification Using Space-Time Link Analysis. EURASIP J. Image Video Process. 2010 (2010) - [c34]Haowei Liu, Rogério Schmidt Feris, Volker Krüger, Ming-Ting Sun:
Unsupervised action classification using space-time link analysis. ISCAS 2010: 3437-3440 - [p2]Ying-li Tian, Rogério Schmidt Feris, Lisa M. Brown, Daniel A. Vaquero, Yun Zhai, Arun Hampapur:
Multi-Scale People Detection and Motion Analysis for Video Surveillance. Machine Learning for Human Motion Analysis 2010: 107-132
2000 – 2009
- 2009
- [c33]Arun Hampapur, Russell Bobbitt, Lisa M. Brown, Mike Desimone, Rogério Schmidt Feris, Rick Kjeldsen, Max Lu, Carl Mercier, Chris Milite, Stephen Russo, Chiao-Fe Shu, Yun Zhai:
Video Analytics in Urban Environments. AVSS 2009: 128-133 - [c32]Longbin Chen, Julian J. McAuley, Rogério Schmidt Feris, Tibério S. Caetano, Matthew A. Turk:
Shape classification through structured learning of matching measures. CVPR 2009: 365-372 - [c31]Daniel A. Vaquero, Ramesh Raskar, Rogério Schmidt Feris, Matthew A. Turk:
A projector-camera setup for geometry-invariant frequency demultiplexing. CVPR 2009: 2082-2089 - [c30]Daniel A. Vaquero, Rogério Schmidt Feris, Duan Tran, Lisa M. Brown, Arun Hampapur, Matthew A. Turk:
Attribute-based people search in surveillance environments. WACV 2009: 1-8 - [p1]Yun Zhai, Rogério Schmidt Feris, Lisa M. Brown, Russell Bobbitt, Arun Hampapur, Sharath Pankanti, Quanfu Fan, Akira Yanagawa, Ying-li Tian, Senem Velipasalar:
Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks. Multi-Camera Networks 2009: 457-480 - 2008
- [j7]Rogério Schmidt Feris, Ramesh Raskar, Longbin Chen, Kar-Han Tan, Matthew A. Turk:
Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination. IEEE Trans. Pattern Anal. Mach. Intell. 30(1): 147-159 (2008) - [c29]Longbin Chen, Rogério Schmidt Feris, Yun Zhai, Lisa M. Brown, Arun Hampapur:
An Integrated System for Moving Object Classification in Surveillance Videos. AVSS 2008: 52-59 - [c28]Longbin Chen, Rogério Schmidt Feris, Matthew A. Turk:
Efficient partial shape matching using Smith-Waterman algorithm. CVPR Workshops 2008: 1-6 - [c27]Daniel A. Vaquero, Rogério Schmidt Feris, Matthew A. Turk, Ramesh Raskar:
Characterizing the shadow space of camera-light pairs. CVPR 2008 - [c26]Rogério Schmidt Feris, Ying-li Tian, Yun Zhai, Arun Hampapur:
Facial image analysis using local feature adaptation prior to learning. FG 2008: 1-6 - 2007
- [c25]Arun Hampapur, Lisa M. Brown, Rogério Schmidt Feris, Andrew W. Senior, Chiao-Fe Shu, Ying-li Tian, Yun Zhai, Max Lu:
Searching surveillance video. AVSS 2007: 75-80 - [c24]Andrew W. Senior, Lisa M. Brown, Arun Hampapur, Chiao-Fe Shu, Yun Zhai, Rogério Schmidt Feris, Ying-li Tian, Sergio Borger, Christopher R. Carlson:
Video analytics for retail. AVSS 2007: 423-428 - [c23]Rogério Schmidt Feris, Ying-li Tian, Arun Hampapur:
Capturing People in Surveillance Video. CVPR 2007 - 2006
- [j6]Ya Chang, Changbo Hu, Rogério Schmidt Feris, Matthew A. Turk:
Manifold based analysis of facial expression. Image Vis. Comput. 24(6): 605-614 (2006) - [j5]Yossi Zana, Roberto Marcondes Cesar Junior, Rogério Schmidt Feris, Matthew A. Turk:
Local approach for face verification in polar frequency domain. Image Vis. Comput. 24(8): 904-913 (2006) - [j4]Rogério Schmidt Feris, Ramesh Raskar, Kar-Han Tan, Matthew A. Turk:
Specular Highlights Detection and Reduction with Multi-Flash Photography. J. Braz. Comput. Soc. 12(1): 35-42 (2006) - [c22]Haiying Guan, Jae Sik Chang, Longbin Chen, Rogério Schmidt Feris, Matthew A. Turk:
Multi-view Appearance-based 3D Hand Pose Estimation. CVPR Workshops 2006: 154 - [c21]Haiying Guan, Rogério Schmidt Feris, Matthew A. Turk:
The Isometric Self-Organizing Map for 3D Hand Pose Estimation. FGR 2006: 263-268 - [c20]Rogério Schmidt Feris, Matthew A. Turk, Ramesh Raskar:
Dealing with Multi-Scale Depth Changes and Motion in Depth Edge Detection. SIBGRAPI 2006: 3-10 - [c19]Ramesh Raskar, Rogério Schmidt Feris, Jingyi Yu, Matthew A. Turk:
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging. SIGGRAPH Courses 2006: 2 - 2005
- [j3]Ramesh Raskar, Kar-Han Tan, Rogério Schmidt Feris, Matthew A. Turk, James Kobler, Jingyi Yu:
Harnessing Real-World Depth Edges with Multiflash Imaging. IEEE Computer Graphics and Applications 25(1): 32-38 (2005) - [c18]Rogério Schmidt Feris, Ramesh Raskar, Longbin Chen, Kar-Han Tan, Matthew A. Turk:
Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination. ICCV 2005: 412-419 - [c17]Yossi Zana, Roberto Marcondes Cesar Junior, Rogério Schmidt Feris, Matthew A. Turk:
Face Verification in Polar Frequency Domain: A Biologically Motivated Approach. ISVC 2005: 183-190 - [c16]Ramesh Raskar, Kar-Han Tan, Rogério Schmidt Feris, Jingyi Yu, Matthew A. Turk:
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging. SIGGRAPH Courses 2005: 2 - [i1]Yossi Zana, Roberto M. Cesar, Rogério Schmidt Feris, Matthew A. Turk:
Face Verification in Polar Frequency Domain: a Biologically Motivated Approach. CoRR abs/cs/0509083 (2005) - 2004
- [j2]Rogério Schmidt Feris, Volker Krüger, Roberto Marcondes Cesar Junior:
A wavelet subspace method for real-time face tracking. Real Time Imaging 10(6): 339-350 (2004) - [j1]Ramesh Raskar, Kar-Han Tan, Rogério Schmidt Feris, Jingyi Yu, Matthew A. Turk:
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging. ACM Trans. Graph. 23(3): 679-688 (2004) - [c15]Changbo Hu, Ya Chang, Rogério Schmidt Feris, Matthew A. Turk:
Manifold Based Analysis of Facial Expression. CVPR Workshops 2004: 81 - [c14]Rogério Schmidt Feris, Matthew A. Turk, Ramesh Raskar, Kar-Han Tan, Gosuke Ohashi:
Exploiting Depth Discontinuities for Vision-Based Fingerspelling Recognition. CVPR Workshops 2004: 155 - [c13]Kar-Han Tan, James Kobler, Paul H. Dietz, Ramesh Raskar, Rogério Schmidt Feris:
Shape-Enhanced Surgical Visualizations and Medical Illustrations with Multi-flash Imaging. MICCAI (2) 2004: 438-445 - [c12]Rogério Schmidt Feris, Ramesh Raskar, Kar-Han Tan, Matthew A. Turk:
Specular Reflection Reduction with Multi-Flash Imaging. SIBGRAPI 2004: 316-321 - [c11]Ramesh Raskar, Kar-Han Tan, Rogério Schmidt Feris, Jingyi Yu, Matthew A. Turk:
The non-photorealistic camera: automatic stylization with multi-flash imaging. SIGGRAPH Emerging Technologies 2004: 19 - [c10]Rogério Schmidt Feris, Kar-Han Tan, Ramesh Raskar, Matthew A. Turk:
Specular reflection reduction using a multi-flash camera. SIGGRAPH Posters 2004: 58 - 2003
- [c9]Changbo Hu, Rogério Schmidt Feris, Matthew A. Turk:
Real-time View-based Face Alignment using Active Wavelet Networks. AMFG 2003: 215-221 - [c8]Changbo Hu, Rogério Schmidt Feris, Matthew A. Turk:
Active Wavelet Networks for Face Alignment. BMVC 2003: 1-10 - 2002
- [c7]Rogério Schmidt Feris, Jim Gemmell, Kentaro Toyama, Volker Krüger:
Hierarchical Wavelet Networks for Facial Feature Localization. FGR 2002: 125-130 - 2001
- [c6]Volker Krüger, Rogério Schmidt Feris:
Wavelet Subspace Method for Real-Time Face Tracking. DAGM-Symposium 2001: 186-193 - [c5]Rogério Schmidt Feris, Roberto Marcondes Cesar Junior:
Locating and Tracking Facial Landmarks Using Gabor Wavelet Networks. ICAPR 2001: 311-320 - 2000
- [c4]Rogério Schmidt Feris, Teófilo Emídio de Campos, Roberto Marcondes Cesar Junior:
Detection and Tracking of Facial Features in Video Sequences. MICAI 2000: 127-135 - [c3]Teófilo Emídio de Campos, Rogério Schmidt Feris, Roberto Marcondes Cesar Junior:
Eigenfaces Versus Eigeneyes: First Steps Toward Performance Assessment of Representations for Face Recognition. MICAI 2000: 193-201 - [c2]Rogério Schmidt Feris, Roberto Marcondes Cesar Junior:
Tracking Facial Features using Gabor Wavelet Networks. SIBGRAPI 2000: 22-27 - [c1]Teófilo Emídio de Campos, Rogério Schmidt Feris, Roberto Marcondes Cesar Junior:
Improved Face×Non-Face Discrimination using Fourier Descriptors through Feature Selection. SIBGRAPI 2000: 28-35
Coauthor Index
Alexander M. Bronstein
aka: Alex M. Bronstein
aka: Alex M. Bronstein
David D. Cox
aka: David Daniel Cox
aka: David Daniel Cox
David F. Harwath
aka: David Harwath
aka: David Harwath
Roberto Marcondes Cesar Junior
aka: Roberto M. Cesar
aka: Roberto M. Cesar
[c163] [c162] [c160] [c158] [c157] [c156] [i109] [i108] [i107] [i106] [i105] [i104] [i103] [i102] [i101] [i100] [i99] [i98] [i97] [i96] [i95] [c153] [c152] [c151] [c150] [c149] [c148] [c146] [c145] [c144] [c143] [c142] [c141] [c140] [i94] [i93] [i92] [i89] [i88] [i87] [i86] [i85] [i84] [i83] [i81] [j21] [j19] [c135] [c133] [c131] [c130] [c128] [i78] [i77] [i76] [i75] [i74] [j18] [c127] [c122] [c118] [c114] [c113] [c109] [i69] [i66] [i65] [i60] [i54] [i53] [c102] [c101] [c99] [c98] [i51] [i50] [i45] [i44] [i37] [i36] [c92] [c91] [i33] [i31] [i28] [i27] [c78] [c77] [i19] [i18] [i15]
[c159] [c155] [i102] [i100] [c154] [c153] [c152] [c151] [c148] [c146] [c145] [c144] [c142] [c140] [c138] [i94] [i93] [i92] [i89] [i85] [i82] [i81] [j21] [c136] [c133] [c131] [c130] [c128] [i79] [i78] [i76] [i75] [i74] [i71] [c126] [c123] [c121] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i61] [i60] [i59] [i57] [i56] [i54] [c107] [c102] [c100] [c97] [i46] [i44] [i43] [i41] [i40] [i38] [i36] [i29]
Sharath Pankanti
aka: Sharathchandra Pankanti
aka: Sharathchandra Pankanti
Humphrey Shi
aka: Honghui Shi
aka: Honghui Shi
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