Feng Zhou

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Face anti-spoofing (FAS) plays a vital role in face recognition systems....
03/09/2020 ∙ by Zitong Yu, et al. ∙ 14 ∙ share

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

In conditionally automated driving, drivers have difficulty in takeover ...
01/13/2020 ∙ by Na Du, et al. ∙ 12 ∙ share

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Fine-grained Video Categorization with Redundancy Reduction Attention

For fine-grained categorization tasks, videos could serve as a better so...
10/26/2018 ∙ by Chen Zhu, et al. ∙ 8 ∙ share

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

Face anti-spoofing is critical to the security of face recognition syste...
03/18/2020 ∙ by Zezheng Wang, et al. ∙ 6 ∙ share

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Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks

Hawkes process provides an effective statistical framework for analyzing...
06/23/2020 ∙ by Feng Zhou, et al. ∙ 6 ∙ share

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3D Pose Estimation for Fine-Grained Object Categories

Existing object pose estimation datasets are related to generic object t...
06/12/2018 ∙ by Yaming Wang, et al. ∙ 2 ∙ share

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

Attention-based learning for fine-grained image recognition remains a ch...
06/14/2018 ∙ by Ming Sun, et al. ∙ 2 ∙ share

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Deep Metric Learning with Angular Loss

The modern image search system requires semantic understanding of image,...
08/04/2017 ∙ by Jian Wang, et al. ∙ 0 ∙ share

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Dynamic Computational Time for Visual Attention

We propose a dynamic computational time model to accelerate the average ...
03/30/2017 ∙ by Zhichao Li, et al. ∙ 0 ∙ share

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

This paper proposes a novel deep learning framework named bidirectional-...
03/23/2017 ∙ by Qingshan Liu, et al. ∙ 0 ∙ share

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Fully Convolutional Attention Networks for Fine-Grained Recognition

Fine-grained recognition is challenging due to its subtle local inter-cl...
03/22/2016 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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

Existing fine-grained visual categorization methods often suffer from th...
12/16/2015 ∙ by Yin Cui, et al. ∙ 0 ∙ share

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Embedding Label Structures for Fine-Grained Feature Representation

Recent algorithms in convolutional neural networks (CNN) considerably ad...
12/09/2015 ∙ by Xiaofan Zhang, et al. ∙ 0 ∙ share

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Fine-grained Image Classification by Exploring Bipartite-Graph Labels

Given a food image, can a fine-grained object recognition engine tell "w...
12/08/2015 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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

Existing 3D pose datasets of object categories are limited to generic ob...
10/19/2018 ∙ by Yaming Wang, et al. ∙ 0 ∙ share

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Compact Generalized Non-local Network

The non-local module is designed for capturing long-range spatio-tempora...
10/31/2018 ∙ by Kaiyu Yue, et al. ∙ 0 ∙ share

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Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model

Automated facial expression analysis has a variety of applications in hu...
05/02/2018 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Efficient EM-Variational Inference for Hawkes Process

In classical Hawkes process, the baseline intensity and triggering kerne...
05/29/2019 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants

The stationarity is assumed in vanilla Hawkes process, which reduces the...
06/06/2019 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Recognizing Part Attributes with Insufficient Data

Recognizing attributes of objects and their parts is important to many c...
08/09/2019 ∙ by Xiangyun Zhao, et al. ∙ 0 ∙ share

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Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation

In this paper, we consider the sigmoid Gaussian Hawkes process model: th...
10/29/2019 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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

We present the Additive Poisson Process (APP), a novel framework that ca...
06/16/2020 ∙ by Simon Luo, et al. ∙ 0 ∙ share

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

Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high ...
06/30/2020 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Feng Zhou

Featured Co-authors

Yi Yang

Wei Xu

Yang Wang

Jun Zhu

Larry S. Davis

Xiao Liu

Serge Belongie

Jian Wang

Guoying Zhao

Yi Ma

Zhen Lei

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

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

Fine-grained Video Categorization with Redundancy Reduction Attention

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

Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks

3D Pose Estimation for Fine-Grained Object Categories

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

Deep Metric Learning with Angular Loss

Dynamic Computational Time for Visual Attention

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

Fully Convolutional Attention Networks for Fine-Grained Recognition

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

Embedding Label Structures for Fine-Grained Feature Representation

Fine-grained Image Classification by Exploring Bipartite-Graph Labels

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

Compact Generalized Non-local Network

Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model

Efficient EM-Variational Inference for Hawkes Process

Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants

Recognizing Part Attributes with Insufficient Data

Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation

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

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