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Wei Xu 0017
Person information
- affiliation (since 2018): Horizon Robotics Research, Sunnyvale, CA, USA
- affiliation (since 2013): Baidu Research, Sunnyvale USA
- affiliation (2009 - 2013): Facebook, Inc., Palo Alto, CA, USA
- affiliation (2001 - 2009): NEC Laboratories America, Cupertino, CA, USA
- affiliation: Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
Other persons with the same name
- Wei Xu — disambiguation page
- Wei Xu 0001 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Wei Xu 0002 — Linköping University, Sweden
- Wei Xu 0003 — Tianjin University, College of Precision Instrument and Opto-Electronics Engineering, China
- Wei Xu 0004 — Georgia Institute of Technology, School of Interactive Computing, Atlanta, GA, USA (and 4 more)
- Wei Xu 0005 — Tsinghua University, Institute for Theoretical Computer Science, Beijing, China
- Wei Xu 0006 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China (and 2 more)
- Wei Xu 0007 — NEC Laboratories America, Inc., Cupertino, CA, USA (and 1 more)
- Wei Xu 0008 — Renmin University of China, School of Information / Smart City Research Center, Beijing, China
- Wei Xu 0009 — Northwestern Polytechnical University, Department of Applied Mathematics, Xi'an, China
- Wei Xu 0010 — University of Science and Technology of China, Department of Automation, Hefei, China
- Wei Xu 0011 — Tianjin Polytechnic University, School of Electronics and Information Engineering, China
- Wei Xu 0012 — University of California, Berkeley, USA
- Wei Xu 0013 — Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun, China
- Wei Xu 0014 — Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China (and 1 more)
- Wei Xu 0015 — Shenyang University of Technology, School of Management, China
- Wei Xu 0016 — Jilin University, Institute of Water Resources and Environment, Changchun, China (and 1 more)
- Wei Xu 0018 — Inner Mongolia University of Technology, College of Information Engineering / Inner Mongolia Key Laboratory of Radar Technology and Application, China (and 1 more)
- Wei Xu 0019 — National University of Defense Technology, College of Information System and Management, Changsha, China
- Wei Xu 0020 — Brookhaven National Laboratory, Upton, NY, USA (and 1 more)
- Wei Xu 0021 — Marvell Technology, Santa Clara, CA, USA (and 1 more)
- Wei Xu 0022 — Huawei Ireland Research Center, Dublin, Ireland
- Wei Xu 0023 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- Wei Xu 0024 — University of Colorado Boulder, Department of Aerospace Engineering Sciences, CO, USA (and 1 more)
- Wei Xu 0025 — Wuhan University of Technology, School of Mechanical and Electrical Engineering, China
- Wei Xu 0026 — Peking University, School of Earth and Space Sciences, Beijing, China
- Wei Xu 0027 — University of Hannover, Geodetic Institute, Germany
- Wei Xu 0028 — University of Hong Kong, Department of Mechanical Engineering, Mechatronics and Robotic Systems (MaRS) Laboratory, Hong Kong
- Wei Xu 0029 — Hohai University, College of Computer and Information, Nanjing, China
- Wei Xu 0030 — University of Toronto, Dalla Lana School of Public Health, ON, Canada (and 1 more)
- Wei Xu 0031 — Shandong University of Science and Technology, College of Transportation, Qingdao, China
- Wei Xu 0032 — Sanjiang University, School of Mechanical and Electrical Engineering, Nanjing, China
- Wei Xu 0033 — Wuhan University, School of Geodesy and Geomatics, China
- Wei Xu 0034 — Tencent, Shenzhen, China
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Journal Articles
- 2024
- [j9]Wei Xu, Jie Tang, Ka Fai Cedric Yiu, Jian-Wen Peng:
An Efficient Global Optimal Method for Cardinality Constrained Portfolio Optimization. INFORMS J. Comput. 36(2): 690-704 (2024) - 2023
- [j8]Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka:
Efficient Multi-Task and Transfer Reinforcement Learning With Parameter-Compositional Framework. IEEE Robotics Autom. Lett. 8(8): 4569-4576 (2023) - [j7]Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou:
Focal Inverse Distance Transform Maps for Crowd Localization. IEEE Trans. Multim. 25: 6040-6052 (2023) - 2022
- [j6]Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai:
TransCrowd: weakly-supervised crowd counting with transformers. Sci. China Inf. Sci. 65(6): 1-14 (2022) - 2020
- [j5]Wei Xu, Zhi Guo Feng, Gui-Hua Lin, Ka Fai Cedric Yiu, Liying Yu:
Optimal switching of switched systems with time delay in discrete time. Autom. 112 (2020) - [j4]Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan L. Yuille:
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2624-2641 (2020) - 2017
- [j3]Wei Xu, Zhi Guo Feng, Jian-Wen Peng, Ka Fai Cedric Yiu:
Optimal switching for linear quadratic problem of switched systems in discrete time. Autom. 78: 185-193 (2017) - 2016
- [j2]Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu:
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 4: 371-383 (2016) - 2008
- [j1]Yi Zhang, Wei Xu:
Fast exact maximum likelihood estimation for mixture of language model. Inf. Process. Manag. 44(3): 1076-1085 (2008)
Conference and Workshop Papers
- 2024
- [c44]Xin Zhou, Dingkang Liang, Wei Xu, Xingkui Zhu, Yihan Xu, Zhikang Zou, Xiang Bai:
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis. CVPR 2024: 14707-14717 - [c43]Yihan Hu, Siqi Chai, Zhening Yang, Jingyu Qian, Kun Li, Wenxin Shao, Haichao Zhang, Wei Xu, Qiang Liu:
Solving Motion Planning Tasks with a Scalable Generative Model. ECCV (42) 2024: 386-404 - [c42]Haonan Yu, Wei Xu:
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE. ICLR 2024 - 2023
- [c41]Dingkang Liang, Jiahao Xie, Zhikang Zou, Xiaoqing Ye, Wei Xu, Xiang Bai:
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model. CVPR 2023: 2893-2903 - [c40]Haichao Zhang, Wei Xu, Haonan Yu:
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. ICLR 2023 - 2022
- [c39]Dingkang Liang, Wei Xu, Xiang Bai:
An End-to-End Transformer Model for Crowd Localization. ECCV (1) 2022: 38-54 - [c38]Wei Xu, Zhihong Fu, Zhixing Chen, Qili Deng, Mingtao Fu, Xijin Zhang, Yuan Gao, Daniel K. Du, Min Zheng:
HiFace: Hybrid Task Learning for Face Reconstruction from Single Image. ECCV Workshops (5) 2022: 382-391 - [c37]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c36]Haichao Zhang, Wei Xu, Haonan Yu:
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning. ICLR 2022 - [c35]Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou:
Distributionally Robust Q-Learning. ICML 2022: 13623-13643 - [c34]Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka:
PaCo: Parameter-Compositional Multi-task Reinforcement Learning. NeurIPS 2022 - [c33]Haonan Yu, Wei Xu, Haichao Zhang:
Towards Safe Reinforcement Learning with a Safety Editor Policy. NeurIPS 2022 - 2021
- [c32]Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun:
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM 2021: 4643-4652 - [c31]Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838 - [c30]Jesse Zhang, Haonan Yu, Wei Xu:
Hierarchical Reinforcement Learning by Discovering Intrinsic Options. ICLR 2021 - [c29]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Generative Particle Variational Inference via Estimation of Functional Gradients. ICML 2021: 8869-8879 - [c28]Haonan Yu, Wei Xu, Haichao Zhang:
TAAC: Temporally Abstract Actor-Critic for Continuous Control. NeurIPS 2021: 29021-29033 - 2020
- [c27]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 2020: 675-691 - [c26]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Implicit Generative Modeling for Efficient Exploration. ICML 2020: 7985-7995 - 2019
- [c25]Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, Wei Xu:
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos. CVPR 2019: 8071-8081 - 2018
- [c24]Xuguang Wang, Xingyi Cheng, Jie Zhou, Wei Xu:
State Tracking Networks for Dialog State Tracking. AAAI Workshops 2018: 746-753 - [c23]Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia:
Unsupervised Learning of Geometry From Videos With Edge-Aware Depth-Normal Consistency. AAAI 2018: 7493-7500 - [c22]Haichao Zhang, Haonan Yu, Wei Xu:
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. ACL (1) 2018: 2609-2619 - [c21]Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu:
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. CoRL 2018: 81-98 - [c20]Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia:
LEGO: Learning Edge With Geometry All at Once by Watching Videos. CVPR 2018: 225-234 - [c19]Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, Wei Xu:
Occlusion Aware Unsupervised Learning of Optical Flow. CVPR 2018: 4884-4893 - [c18]Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin:
DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map. CVPR 2018: 5860-5869 - [c17]Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia:
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding. ECCV Workshops (5) 2018: 691-709 - [c16]Haonan Yu, Haichao Zhang, Wei Xu:
Interactive Grounded Language Acquisition and Generalization in a 2D World. ICLR (Poster) 2018 - [c15]Xingyi Cheng, Ruiqing Zhang, Jie Zhou, Wei Xu:
DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting. IJCNN 2018: 1-8 - 2017
- [c14]Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu:
Dynamic Computational Time for Visual Attention. ICCV Workshops 2017: 1199-1209 - 2016
- [c13]Zihang Dai, Lei Li, Wei Xu:
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases. ACL (1) 2016 - [c12]Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu:
CNN-RNN: A Unified Framework for Multi-label Image Classification. CVPR 2016: 2285-2294 - [c11]Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille:
Attention to Scale: Scale-Aware Semantic Image Segmentation. CVPR 2016: 3640-3649 - [c10]Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu:
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks. CVPR 2016: 4584-4593 - 2015
- [c9]Jie Zhou, Wei Xu:
End-to-end learning of semantic role labeling using recurrent neural networks. ACL (1) 2015: 1127-1137 - [c8]Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang:
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. ICCV 2015: 2956-2964 - [c7]Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu:
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question. NIPS 2015: 2296-2304 - [c6]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille:
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN). ICLR 2015 - 2007
- [c5]Yi Zhang, Wei Xu:
Fast exact maximum likelihood estimation for mixture of language models. SIGIR 2007: 865-866 - 2005
- [c4]Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles:
A hierarchical naive Bayes mixture model for name disambiguation in author citations. SAC 2005: 1065-1069 - 2003
- [c3]Yi Zhang, Wei Xu, James P. Callan:
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning. ICML 2003: 896-903 - 2000
- [c2]Wei Xu, Alex Rudnicky:
Language modeling for dialog system. INTERSPEECH 2000: 118-121 - [c1]Wei Xu, Alex Rudnicky:
Can artificial neural networks learn language models? INTERSPEECH 2000: 202-205
Informal and Other Publications
- 2024
- [i51]Haonan Yu, Wei Xu:
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE. CoRR abs/2401.11110 (2024) - [i50]Dingkang Liang, Xin Zhou, Xinyu Wang, Xingkui Zhu, Wei Xu, Zhikang Zou, Xiaoqing Ye, Xiang Bai:
PointMamba: A Simple State Space Model for Point Cloud Analysis. CoRR abs/2402.10739 (2024) - [i49]Xin Zhou, Dingkang Liang, Wei Xu, Xingkui Zhu, Yihan Xu, Zhikang Zou, Xiang Bai:
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis. CoRR abs/2403.01439 (2024) - [i48]Yihan Hu, Siqi Chai, Zhening Yang, Jingyu Qian, Kun Li, Wenxin Shao, Haichao Zhang, Wei Xu, Qiang Liu:
Solving Motion Planning Tasks with a Scalable Generative Model. CoRR abs/2407.02797 (2024) - [i47]Wei Xu, Chunsheng Shi, Sifan Tu, Xin Zhou, Dingkang Liang, Xiang Bai:
A Unified Framework for 3D Scene Understanding. CoRR abs/2407.03263 (2024) - 2023
- [i46]Haichao Zhang, Wei Xu, Haonan Yu:
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. CoRR abs/2302.00935 (2023) - [i45]Dingkang Liang, Jiahao Xie, Zhikang Zou, Xiaoqing Ye, Wei Xu, Xiang Bai:
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model. CoRR abs/2304.04231 (2023) - [i44]Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka:
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework. CoRR abs/2306.01839 (2023) - [i43]Yihan Hu, Kun Li, Pingyuan Liang, Jingyu Qian, Zhening Yang, Haichao Zhang, Wenxin Shao, Zhuangzhuang Ding, Wei Xu, Qiang Liu:
Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge. CoRR abs/2306.15700 (2023) - 2022
- [i42]Haichao Zhang, Wei Xu, Haonan Yu:
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning. CoRR abs/2201.09765 (2022) - [i41]Haonan Yu, Wei Xu, Haichao Zhang:
Towards Safe Reinforcement Learning with a Safety Editor Policy. CoRR abs/2201.12427 (2022) - [i40]Haonan Yu, Haichao Zhang, Wei Xu:
Do You Need the Entropy Reward (in Practice)? CoRR abs/2201.12434 (2022) - [i39]Qinxun Bai, Steven Rosenberg, Wei Xu:
Understanding Natural Gradient in Sobolev Spaces. CoRR abs/2202.06232 (2022) - [i38]Dingkang Liang, Wei Xu, Xiang Bai:
An End-to-End Transformer Model for Crowd Localization. CoRR abs/2202.13065 (2022) - [i37]Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka:
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning. CoRR abs/2210.11653 (2022) - 2021
- [i36]Jesse Zhang, Haonan Yu, Wei Xu:
Hierarchical Reinforcement Learning By Discovering Intrinsic Options. CoRR abs/2101.06521 (2021) - [i35]Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou:
Reciprocal Distance Transform Maps for Crowd Counting and People Localization in Dense Crowd. CoRR abs/2102.07925 (2021) - [i34]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Generative Particle Variational Inference via Estimation of Functional Gradients. CoRR abs/2103.01291 (2021) - [i33]Wei Wei, Haonan Yu, Haichao Zhang, Wei Xu, Ying Wu:
MetaView: Few-shot Active Object Recognition. CoRR abs/2103.04242 (2021) - [i32]Haonan Yu, Wei Xu, Haichao Zhang:
TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control. CoRR abs/2104.06521 (2021) - [i31]Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai:
TransCrowd: Weakly-Supervised Crowd Counting with Transformer. CoRR abs/2104.09116 (2021) - [i30]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021) - 2019
- [i29]Liang Zhao, Wei Xu:
Learning Good Representation via Continuous Attention. CoRR abs/1903.12344 (2019) - [i28]Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu:
Implicit Generative Modeling for Efficient Exploration. CoRR abs/1911.08017 (2019) - 2018
- [i27]Haonan Yu, Haichao Zhang, Wei Xu:
Interactive Grounded Language Acquisition and Generalization in a 2D World. CoRR abs/1802.01433 (2018) - [i26]Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia:
LEGO: Learning Edge with Geometry all at Once by Watching Videos. CoRR abs/1803.05648 (2018) - [i25]Haichao Zhang, Haonan Yu, Wei Xu:
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. CoRR abs/1805.00462 (2018) - [i24]Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin:
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map. CoRR abs/1805.04949 (2018) - [i23]Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu:
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. CoRR abs/1805.08329 (2018) - [i22]Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia:
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding. CoRR abs/1806.10556 (2018) - [i21]Han Shen, Lichao Huang, Chang Huang, Wei Xu:
Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking. CoRR abs/1808.01562 (2018) - [i20]Yang Wang, Zhenheng Yang, Peng Wang, Yi Yang, Chenxu Luo, Wei Xu:
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos. CoRR abs/1810.03654 (2018) - [i19]Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan L. Yuille:
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. CoRR abs/1810.06125 (2018) - [i18]Yuanpeng Li, Yi Yang, Jianyu Wang, Wei Xu:
Zero-Shot Transfer VQA Dataset. CoRR abs/1811.00692 (2018) - 2017
- [i17]Haonan Yu, Haichao Zhang, Wei Xu:
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment. CoRR abs/1703.09831 (2017) - [i16]Zhichao Li, Yi Yang, Xiao Liu, Shilei Wen, Wei Xu:
Dynamic Computational Time for Visual Attention. CoRR abs/1703.10332 (2017) - [i15]Liang Zhao, Yang Wang, Yi Yang, Wei Xu:
Unsupervised Learning Layers for Video Analysis. CoRR abs/1705.08918 (2017) - [i14]Haichao Zhang, Haonan Yu, Wei Xu:
Listen, Interact and Talk: Learning to Speak via Interaction. CoRR abs/1705.09906 (2017) - [i13]Xingyi Cheng, Ruiqing Zhang, Jie Zhou, Wei Xu:
DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting. CoRR abs/1709.09585 (2017) - [i12]Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia:
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency. CoRR abs/1711.03665 (2017) - [i11]Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Wei Xu:
Occlusion Aware Unsupervised Learning of Optical Flow. CoRR abs/1711.05890 (2017) - 2016
- [i10]Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu:
CNN-RNN: A Unified Framework for Multi-label Image Classification. CoRR abs/1604.04573 (2016) - [i9]Zihang Dai, Lei Li, Wei Xu:
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases. CoRR abs/1606.01994 (2016) - [i8]Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu:
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation. CoRR abs/1606.04199 (2016) - 2015
- [i7]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. CoRR abs/1504.06692 (2015) - [i6]Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu:
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering. CoRR abs/1505.05612 (2015) - [i5]Zhiheng Huang, Wei Xu, Kai Yu:
Bidirectional LSTM-CRF Models for Sequence Tagging. CoRR abs/1508.01991 (2015) - [i4]Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu:
Video Paragraph Captioning using Hierarchical Recurrent Neural Networks. CoRR abs/1510.07712 (2015) - [i3]Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille:
Attention to Scale: Scale-aware Semantic Image Segmentation. CoRR abs/1511.03339 (2015) - [i2]Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, Ram Nevatia:
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering. CoRR abs/1511.05960 (2015) - 2014
- [i1]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille:
Explain Images with Multimodal Recurrent Neural Networks. CoRR abs/1410.1090 (2014)
Coauthor Index
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