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Feng Zhou 0002
Person information
- affiliation: Baidu Research, Sunnyvale, CA, USA
- affiliation (2014 - 2016): NEC Lab, Cupertino, CA, USA
- affiliation (PhD 2014): Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
Other persons with the same name
- Feng Zhou — disambiguation page
- Feng Zhou 0001
— Xidian University, Ministry Key Laboratory of Electronic Information Countermeasure and Simulation, Xi'an, China - Feng Zhou 0003
— University of Michigan at Dearborn, Industrial and Manufacturing Systems Engineering, MI, USA (and 2 more) - Feng Zhou 0004
— Peking University, College of Environmental Sciences and Engineering, Beijing, China - Feng Zhou 0005
— Central South University China, School of Information Science and Engineering, Changsha, China - Feng Zhou 0006
— Nanjing University of Information Science and Technology, School of Information and Control, Jiangsu Key Laboratory of Big Data Analysis Technology, China - Feng Zhou 0007
— Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China - Feng Zhou 0008
— UISEE (Shanghai) Automotive Technologies Ltd, China - Feng Zhou 0009
— Army Engineering University of PLA, College of Communications Engineering, Nanjing, China - Feng Zhou 0010
— Yancheng Institute of Technology, School of Information Technology, China
- Feng Zhou 0011
— University of New South Wales, Sydney, NSW, Australia (and 1 more) - Feng Zhou 0012
— Harbin Engineering University, Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, China - Feng Zhou 0013
— Suzhou University of Science and Technology, Suzhou, China - Feng Zhou 0014
— Shanghai Normal University, Shanghai, China - Feng Zhou 0015
— Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, Zhejiang, China - Feng Zhou 0016
— Huazhong University of Science and Technology, Wuhan, Hubei, China - Feng Zhou 0017
— University of Cambridge, Cambridge, UK - Feng Zhou 0018
— Guangdong University of Finance and Economics, Guangzhou, China - Feng Zhou 0019
— China Academy of Information and Communications Technology, Beijing, Chin - Feng Zhou 0020
— University of Nottingham, Nottingham, UK - Feng Zhou 0021
— Xiamen University, Amoy, China - Feng Zhou 0022
— China Electric Power Research Institute, Wuhan, China - Feng Zhou 0023
— China Electric Power Research Institute, Wuhan, China
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2020 – today
- 2023
[c39]Jiangfan Deng, Dewen Fan, Xiaosong Qiu, Feng Zhou:
Improving Crowded Object Detection via Copy-Paste. AAAI 2023: 497-505
[c38]Bin Chen, Miaoben Wang, Feng Zhou, Haoyang Yan, Ronghua Du:
Energy Efficient Speed Planning of Electric Vehicles for Vehicle-Following Scenarios Using Data-driven Koopman Model. ISPA/BDCloud/SocialCom/SustainCom 2023: 832-839
[c37]Feng Zhou, Hongkun Liang, Kewu Tao, Shuo Li:
Autonomous cruise control of intelligent high-speed train with online energy-saving optimization. ISPA/BDCloud/SocialCom/SustainCom 2023: 840-845
[c36]Bin Chen, Guo He, Feng Zhou, Hao Huang, Wei Liu, Ronghua Du:
Hierarchical Data-driven Predictive Control Strategy for Energy Management of Electric Vehicles. ISPA/BDCloud/SocialCom/SustainCom 2023: 846-853- 2022
[j11]Shuo Li
, Jieqiong Ding, Weirong Liu, Heng Li, Feng Zhou, Zhengfa Zhu:
Railway Track Recognition Based on Radar Cross-Section Statistical Characterization Using mmWave Radar. Remote. Sens. 14(2): 294 (2022)
[c35]Jun Peng, Qin Zhao, Dianzhu Gao, Yingze Yang, Feng Zhou, Jieqi Rong, Yunsheng Fan, Bowen Liu, Fu Jiang, Xiaoyong Zhang:
A Digital Twin-Driven Hybrid Estimate Method for Health Status of Train Braking System. CSCWD 2022: 335-340
[c34]Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin:
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. ICLR 2022
[i15]Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin:
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. CoRR abs/2201.12467 (2022)
[i14]Jiangfan Deng, Dewen Fan, Xiaosong Qiu, Feng Zhou:
Improving Crowded Object Detection via Copy-Paste. CoRR abs/2211.12110 (2022)- 2021
[j10]Shuo Li, Xin Liu, Weirong Liu, Mi Rong, Zhengfa Zhu, Feng Zhou:
A remaining useful life estimation method for solenoid valve based on mmWave radar and auxiliary particle filter technique. IEICE Electron. Express 18(20): 20210344 (2021)
[c33]Qiang Meng, Shichao Zhao, Zhida Huang, Feng Zhou:
MagFace: A Universal Representation for Face Recognition and Quality Assessment. CVPR 2021: 14225-14234
[c32]Junfeng Wan, Jiangfan Deng, Xiaosong Qiu, Feng Zhou:
Body-Face Joint Detection via Embedding and Head Hook. ICCV 2021: 2939-2948
[i13]Qiang Meng, Shichao Zhao, Zhida Huang, Feng Zhou:
MagFace: A Universal Representation for Face Recognition and Quality Assessment. CoRR abs/2103.06627 (2021)- 2020
[j9]Shuo Li
, Tiancheng Guo, Ran Mo, Xiaoshuai Zhao
, Feng Zhou, Weirong Liu, Jun Peng
:
A Rescue-Assistance Navigation Method by Using the Underground Location of WSN after Disasters. Sensors 20(8): 2173 (2020)
[j8]Shuo Li
, Jin Xie, Feng Zhou, Weirong Liu, Heng Li:
Foreign Object Intrusion Detection on Metro Track Using Commodity WiFi Devices with the Fast Phase Calibration Algorithm. Sensors 20(12): 3446 (2020)
[c31]Zhida Huang, Kaiyu Yue, Jiangfan Deng, Feng Zhou:
Visible Feature Guidance for Crowd Pedestrian Detection. ECCV Workshops (5) 2020: 277-290
[c30]Kaiyu Yue, Jiangfan Deng, Feng Zhou:
Matching Guided Distillation. ECCV (15) 2020: 312-328
[c29]Jin Xie, Kai Gao, Feng Zhou, Lin Hu
, Zhengfa Zhu, Ronghua Du:
Driving Intention Oriented Real-time Energy Management Strategy for PHEV in Urban V2X Scenario. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 70-76
[i12]Kaiyu Yue, Jiangfan Deng, Feng Zhou:
Matching Guided Distillation. CoRR abs/2008.09958 (2020)
[i11]Zhida Huang, Kaiyu Yue, Jiangfan Deng, Feng Zhou:
Visible Feature Guidance for Crowd Pedestrian Detection. CoRR abs/2008.09993 (2020)
2010 – 2019
- 2019
[c28]Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu:
Recognizing Part Attributes With Insufficient Data. ICCV 2019: 350-360
[c27]Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis:
A Refined 3D Pose Dataset for Fine-Grained Object Categories. ICCV Workshops 2019: 2797-2806
[c26]Bin Chen, Zhiwu Huang, Weirong Liu, Rui Zhang, Feng Zhou, Jun Peng:
A Novel Adhesion Force Estimation for Railway Vehicles Using an Extended State Observer. IECON 2019: 225-230
[c25]Rui Zhang, Jun Peng, Feng Zhou, Bin Chen, Weirong Liu, Zhiwu Huang:
Adaptive Precision Automatic Train Stop Control based on Pneumatic Brake Systems. IECON 2019: 273-278
[c24]Shuo Li, Tiancheng Guo, Ran Mo, Xiaoshuai Zhao, Feng Zhou, Weirong Liu:
An Escape Guidance Path Developing Method on Sparse Anchors for Underground Disaster Rescue. ISIE 2019: 2214-2219
[i10]Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu:
Recognizing Part Attributes with Insufficient Data. CoRR abs/1908.03335 (2019)- 2018
[c23]Chen Zhu
, Xiao Tan
, Feng Zhou
, Xiao Liu
, Kaiyu Yue
, Errui Ding
, Yi Ma:
Fine-Grained Video Categorization with Redundancy Reduction Attention. ECCV (5) 2018: 139-155
[c22]Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis:
3D Pose Estimation for Fine-Grained Object Categories. ECCV Workshops (1) 2018: 619-632
[c21]Ming Sun
, Yuchen Yuan
, Feng Zhou
, Errui Ding
:
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition. ECCV (16) 2018: 834-850
[c20]Kaiyu Yue, Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding, Fuxin Xu:
Compact Generalized Non-local Network. NeurIPS 2018: 6511-6520
[i9]Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis:
3D Pose Estimation for Fine-Grained Object Categories. CoRR abs/1806.04314 (2018)
[i8]Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding:
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition. CoRR abs/1806.05372 (2018)
[i7]Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis:
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories. CoRR abs/1810.09263 (2018)
[i6]Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma:
Fine-grained Video Categorization with Redundancy Reduction Attention. CoRR abs/1810.11189 (2018)
[i5]Kaiyu Yue, Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding, Fuxin Xu:
Compact Generalized Non-local Network. CoRR abs/1810.13125 (2018)- 2017
[j7]Feng Zhou, Zhiwu Huang, Yingze Yang, Jing Wang, Liran Li, Jun Peng:
Decentralized event-triggered cooperative control for multi-agent systems with uncertain dynamics using local estimators. Neurocomputing 237: 388-396 (2017)
[j6]Hongtao Liao, Jun Peng, Yanhui Zhou, Zhiwu Huang, Feng Zhou:
Generalized Potential Function-Based Cooperative Current-Sharing Control for High-Power Parallel Charging Systems. J. Adv. Comput. Intell. Intell. Informatics 21(3): 387-396 (2017)
[c19]Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie
:
Kernel Pooling for Convolutional Neural Networks. CVPR 2017: 3049-3058
[c18]Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin:
Deep Metric Learning with Angular Loss. ICCV 2017: 2612-2620
[c17]Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu:
Dynamic Computational Time for Visual Attention. ICCV Workshops 2017: 1199-1209
[i4]Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin:
Deep Metric Learning with Angular Loss. CoRR abs/1708.01682 (2017)- 2016
[j5]Feng Zhou, Fernando De la Torre:
Generalized Canonical Time Warping. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 279-294 (2016)
[j4]Feng Zhou, Fernando De la Torre:
Spatio-Temporal Matching for Human Pose Estimation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1492-1504 (2016)
[j3]Feng Zhou, Fernando De la Torre:
Factorized Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1774-1789 (2016)
[c16]Feng Zhou, Zhiwu Huang, Kai Gao, Liran Li, Hongtao Liao, Jun Peng:
Distributed cooperative tracking control for heavy haul trains with event-triggered strategy. ACC 2016: 770-775
[c15]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang
:
Embedding Label Structures for Fine-Grained Feature Representation. CVPR 2016: 1114-1123
[c14]Feng Zhou, Yuanqing Lin:
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels. CVPR 2016: 1124-1133
[c13]Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie
:
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop. CVPR 2016: 1153-1162- 2015
[i3]Feng Zhou, Yuanqing Lin:
Fine-grained Image Classification by Exploring Bipartite-Graph Labels. CoRR abs/1512.02665 (2015)
[i2]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang:
Embedding Label Structures for Fine-Grained Feature Representation. CoRR abs/1512.02895 (2015)
[i1]Yin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie:
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop. CoRR abs/1512.05227 (2015)- 2014
[b1]Feng Zhou:
Spatial, Temporal and Spatio-Temporal Correspondence for Computer Vision Problems. Carnegie Mellon University, USA, 2014
[j2]Feng Zhou, Zhiwu Huang, Weirong Liu, Liran Li:
Formation Control with Event-Triggered Strategy for Multi-Agent Systems. J. Adv. Comput. Intell. Intell. Informatics 18(1): 71-77 (2014)
[c12]Feng Zhou, Fernando De la Torre:
Spatio-temporal Matching for Human Detection in Video. ECCV (6) 2014: 62-77- 2013
[j1]Feng Zhou, Fernando De la Torre, Jessica K. Hodgins:
Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 582-596 (2013)
[c11]Feng Zhou, Fernando De la Torre:
Deformable Graph Matching. CVPR 2013: 2922-2929- 2012
[c10]Feng Zhou, Fernando De la Torre:
Factorized graph matching. CVPR 2012: 127-134
[c9]Feng Zhou, Fernando De la Torre:
Generalized time warping for multi-modal alignment of human motion. CVPR 2012: 1282-1289
[c8]Wen-Sheng Chu, Feng Zhou, Fernando De la Torre:
Unsupervised Temporal Commonality Discovery. ECCV (4) 2012: 373-387
[c7]Weirong Liu, Feng Zhou, Heng Li
, Jianming Xiao, Jing Wang, Mengfei Wen, Jun Peng:
Cooperative control and communication optimization for networked multi-agent systems with nonholonomic constraints. ROBIO 2012: 1633-1637
[c6]Heng Li
, Jun Peng, Jianming Xiao, Feng Zhou, Weirong Liu, Jing Wang:
Distributed formation control for a cooperative multi-agent system using potential function and extremum seeking algorithm. ROBIO 2012: 1893-1898- 2010
[c5]Feng Zhou, Fernando De la Torre, Jeffrey F. Cohn:
Unsupervised discovery of facial events. CVPR 2010: 2574-2581
[c4]Yang Liu, Feng Zhou, Wei Liu, Fernando De la Torre, Yan Liu:
Unsupervised summarization of rushes videos. ACM Multimedia 2010: 751-754
2000 – 2009
- 2009
[c3]Jeffrey F. Cohn, T. S. Kruez, Iain A. Matthews, Ying Yang, Minh Hoai Nguyen, M. T. Padilla, Feng Zhou, Fernando De la Torre:
Detecting depression from facial actions and vocal prosody. ACII 2009: 1-7
[c2]Feng Zhou, Fernando De la Torre:
Canonical Time Warping for Alignment of Human Behavior. NIPS 2009: 2286-2294- 2008
[c1]Feng Zhou, Fernando De la Torre, Jessica K. Hodgins:
Aligned Cluster Analysis for temporal segmentation of human motion. FG 2008: 1-7
Coauthor Index

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