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Visible Feature Guidance for Crowd Pedestrian Detection

Sep 16, 2020
Zhida Huang, Kaiyu Yue, Jiangfan Deng, Feng Zhou

* Technical report; To appear at ECCV 2020 RLQ Workshop 

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Matching Guided Distillation

Aug 23, 2020
Kaiyu Yue, Jiangfan Deng, Feng Zhou

* ECCV 2020 Camera-Ready. Project: http://kaiyuyue.com/mgd 

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Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression

Jun 30, 2020
Feng Zhou, Tao Chen, Baiying Lei


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Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks

Jun 23, 2020
Feng Zhou, Yixuan Zhang, Jun Zhu


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Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes

Jun 16, 2020
Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama

* 14 pages, 8 figures, pre-print 

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Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

Mar 18, 2020
Zezheng Wang, Zitong Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, Qiusheng Zhou, Feng Zhou, Zhen Lei

* Accepted by CVPR2020 (oral) 

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Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Mar 09, 2020
Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao

* Accepted by CVPR2020 

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Deep Variational Luenberger-type Observer for Stochastic Video Prediction

Feb 12, 2020
Dong Wang, Feng Zhou, Zheng Yan, Guang Yao, Zongxuan Liu, Wennan Ma, Cewu Lu


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Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving

Jan 13, 2020
Na Du, Feng Zhou, Elizabeth Pulver, Dawn M. Tilbury, Lionel P. Robert, Anuj K. Pradhan, X. Jessie Yang

* 28 pages, 7 figures 

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Scalable Inference for Nonparametric Hawkes Process Using P贸lya-Gamma Augmentation

Oct 29, 2019
Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen


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Recognizing Part Attributes with Insufficient Data

Aug 13, 2019
Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu

* To appear in ICCV 2019 

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Efficient EM-Variational Inference for Hawkes Process

May 29, 2019
Feng Zhou


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Compact Generalized Non-local Network

Nov 01, 2018
Kaiyu Yue, Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding, Fuxin Xu

* Technical report; To appear at NIPS 2018; Code is available at https://github.com/KaiyuYue/cgnl-network.pytorch 

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Fine-grained Video Categorization with Redundancy Reduction Attention

Oct 26, 2018
Chen Zhu, Xiao Tan, Feng Zhou, Xiao Liu, Kaiyu Yue, Errui Ding, Yi Ma

* Correcting a typo in ECCV version 

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Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories

Oct 19, 2018
Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis

* arXiv admin note: text overlap with arXiv:1806.04314 

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Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition

Jun 14, 2018
Ming Sun, Yuchen Yuan, Feng Zhou, Errui Ding


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3D Pose Estimation for Fine-Grained Object Categories

Jun 13, 2018
Yaming Wang, Xiao Tan, Yi Yang, Xiao Liu, Errui Ding, Feng Zhou, Larry S. Davis


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Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model

May 02, 2018
Feng Zhou, Shu Kong, Charless Fowlkes, Tao Chen, Baiying Lei

* code: http://www.ics.uci.edu/~skong2/DimensionalEmotionModel.html 

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Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network

Nov 12, 2017
Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John Paisley


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Dynamic Computational Time for Visual Attention

Sep 07, 2017
Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu


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Deep Metric Learning with Angular Loss

Aug 04, 2017
Jian Wang, Feng Zhou, Shilei Wen, Xiao Liu, Yuanqing Lin

* International Conference on Computer Vision 2017 

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Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification

Mar 23, 2017
Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan


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Fully Convolutional Attention Networks for Fine-Grained Recognition

Mar 21, 2017
Xiao Liu, Tian Xia, Jiang Wang, Yi Yang, Feng Zhou, Yuanqing Lin


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Deep Deformation Network for Object Landmark Localization

Jul 24, 2016
Xiang Yu, Feng Zhou, Manmohan Chandraker

* This work is going to appear at ECCV 

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Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop

Apr 11, 2016
Yin Cui, Feng Zhou, Yuanqing Lin, Serge Belongie

* 10 pages, 9 figures, CVPR 2016 

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Embedding Label Structures for Fine-Grained Feature Representation

Mar 11, 2016
Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang


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Fine-grained Image Classification by Exploring Bipartite-Graph Labels

Dec 10, 2015
Feng Zhou, Yuanqing Lin


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