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ORCIDFeng 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
![[0000-0002-1514-7393]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1514-7393")
— 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
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2020 – today
- 2023
[c31]Jiangfan Deng, Dewen Fan, Xiaosong Qiu, Feng Zhou:
Improving Crowded Object Detection via Copy-Paste. AAAI 2023: 497-505- [c30]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 - [c29]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
- [c28]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
- [c27]Qiang Meng, Shichao Zhao, Zhida Huang, Feng Zhou:
MagFace: A Universal Representation for Face Recognition and Quality Assessment. CVPR 2021: 14225-14234 - [c26]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
- [c25]Zhida Huang, Kaiyu Yue, Jiangfan Deng, Feng Zhou:
Visible Feature Guidance for Crowd Pedestrian Detection. ECCV Workshops (5) 2020: 277-290 - [c24]Kaiyu Yue, Jiangfan Deng, Feng Zhou:
Matching Guided Distillation. ECCV (15) 2020: 312-328 - [c23]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
- [c22]Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu:
Recognizing Part Attributes With Insufficient Data. ICCV 2019: 350-360 - [c21]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 - [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
- [c20]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 - [c19]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 - [c18]Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding:
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition. ECCV (16) 2018: 834-850 - [c17]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
- [c16]Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie:
Kernel Pooling for Convolutional Neural Networks. CVPR 2017: 3049-3058 - [c15]Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin:
Deep Metric Learning with Angular Loss. ICCV 2017: 2612-2620 - [c14]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
- [j4]Feng Zhou, Fernando De la Torre:
Generalized Canonical Time Warping. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 279-294 (2016) - [j3]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) - [j2]Feng Zhou, Fernando De la Torre:
Factorized Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1774-1789 (2016) - [c13]Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang:
Embedding Label Structures for Fine-Grained Feature Representation. CVPR 2016: 1114-1123 - [c12]Feng Zhou, Yuanqing Lin:
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels. CVPR 2016: 1124-1133 - [c11]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 - [c10]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) - [c9]Feng Zhou, Fernando De la Torre:
Deformable Graph Matching. CVPR 2013: 2922-2929 - 2012
- [c8]Feng Zhou, Fernando De la Torre:
Factorized graph matching. CVPR 2012: 127-134 - [c7]Feng Zhou, Fernando De la Torre:
Generalized time warping for multi-modal alignment of human motion. CVPR 2012: 1282-1289 - [c6]Wen-Sheng Chu, Feng Zhou, Fernando De la Torre:
Unsupervised Temporal Commonality Discovery. ECCV (4) 2012: 373-387 - 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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