Xiaoou Tang

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The Chinese University of Hong Kong

Professor (FIEEE) Outstanding Fellow of the Faculty of Engineering.

InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs

Although Generative Adversarial Networks (GANs) have made significant pr...
05/18/2020 ∙ by Yujun Shen, et al. ∙ 8 ∙ share

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Interpreting the Latent Space of GANs for Semantic Face Editing

Despite the recent advance of Generative Adversarial Networks (GANs) in ...
07/25/2019 ∙ by Yujun Shen, et al. ∙ 2 ∙ share

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Path-Restore: Learning Network Path Selection for Image Restoration

Very deep Convolutional Neural Networks (CNNs) have greatly improved the...
04/23/2019 ∙ by Xintao Wang, et al. ∙ 10 ∙ share

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Switchable Whitening for Deep Representation Learning

Normalization methods are essential components in convolutional neural n...
04/22/2019 ∙ by Xingang Pan, et al. ∙ 0 ∙ share

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A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization

Over four decades, the majority addresses the problem of optical flow es...
03/15/2019 ∙ by Tak-Wai Hui, et al. ∙ 10 ∙ share

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DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

Understanding fashion images has been advanced by benchmarks with rich a...
01/23/2019 ∙ by Yuying Ge, et al. ∙ 12 ∙ share

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Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer

Convolutional Neural Networks (CNNs) become deeper and deeper in recent ...
12/05/2018 ∙ by Mengya Gao, et al. ∙ 8 ∙ share

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FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis

The advance of Generative Adversarial Networks (GANs) enables realistic ...
12/04/2018 ∙ by Yujun Shen, et al. ∙ 8 ∙ share

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Deep Network Interpolation for Continuous Imagery Effect Transition

Deep convolutional neural network has demonstrated its capability of lea...
11/26/2018 ∙ by Xintao Wang, et al. ∙ 29 ∙ share

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Improving On-policy Learning with Statistical Reward Accumulation

Deep reinforcement learning has obtained significant breakthroughs in re...
09/07/2018 ∙ by Yubin Deng, et al. ∙ 3 ∙ share

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ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal...
09/01/2018 ∙ by Xintao Wang, et al. ∙ 0 ∙ share

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Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Convolutional neural networks (CNNs) have achieved great successes in ma...
07/25/2018 ∙ by Xingang Pan, et al. ∙ 0 ∙ share

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Deep Imbalanced Learning for Face Recognition and Attribute Prediction

Data for face analysis often exhibit highly-skewed class distribution, i...
06/01/2018 ∙ by Chen Huang, et al. ∙ 8 ∙ share

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LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation

FlowNet2, the state-of-the-art convolutional neural network (CNN) for op...
05/18/2018 ∙ by Tak-Wai Hui, et al. ∙ 2 ∙ share

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Pose-Robust Face Recognition via Deep Residual Equivariant Mapping

Face recognition achieves exceptional success thanks to the emergence of...
03/02/2018 ∙ by Kaidi Cao, et al. ∙ 0 ∙ share

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Spatial As Deep: Spatial CNN for Traffic Scene Understanding

Convolutional neural networks (CNNs) are usually built by stacking convo...
12/17/2017 ∙ by Xingang Pan, et al. ∙ 0 ∙ share

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Mix-and-Match Tuning for Self-Supervised Semantic Segmentation

Deep convolutional networks for semantic image segmentation typically re...
12/02/2017 ∙ by Xiaohang Zhan, et al. ∙ 0 ∙ share

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Learning to Disambiguate by Asking Discriminative Questions

The ability to ask questions is a powerful tool to gather information in...
08/09/2017 ∙ by Yining Li, et al. ∙ 0 ∙ share

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Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks

Fashion landmarks are functional key points defined on clothes, such as ...
08/07/2017 ∙ by Sijie Yan, et al. ∙ 0 ∙ share

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Video Object Segmentation with Re-identification

Conventional video segmentation methods often rely on temporal continuit...
08/01/2017 ∙ by Xiaoxiao Li, et al. ∙ 0 ∙ share

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Recurrent Scale Approximation for Object Detection in CNN

Since convolutional neural network (CNN) lacks an inherent mechanism to ...
07/29/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Aesthetic-Driven Image Enhancement by Adversarial Learning

We introduce EnhanceGAN, an adversarial learning based model that perfor...
07/17/2017 ∙ by Yubin Deng, et al. ∙ 0 ∙ share

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Face Detection through Scale-Friendly Deep Convolutional Networks

In this paper, we share our experience in designing a convolutional netw...
06/09/2017 ∙ by Shuo Yang, et al. ∙ 0 ∙ share

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Temporal Segment Networks for Action Recognition in Videos

Deep convolutional networks have achieved great success for image recogn...
05/08/2017 ∙ by Limin Wang, et al. ∙ 0 ∙ share

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Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade

We propose a novel deep layer cascade (LC) method to improve the accurac...
04/05/2017 ∙ by Xiaoxiao Li, et al. ∙ 0 ∙ share

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A Pursuit of Temporal Accuracy in General Activity Detection

Detecting activities in untrimmed videos is an important but challenging...
03/08/2017 ∙ by Yuanjun Xiong, et al. ∙ 0 ∙ share

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Video Frame Synthesis using Deep Voxel Flow

We address the problem of synthesizing new video frames in an existing v...
02/08/2017 ∙ by Ziwei Liu, et al. ∙ 0 ∙ share

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Faceness-Net: Face Detection through Deep Facial Part Responses

We propose a deep convolutional neural network (CNN) for face detection ...
01/29/2017 ∙ by Shuo Yang, et al. ∙ 0 ∙ share

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Local Similarity-Aware Deep Feature Embedding

Existing deep embedding methods in vision tasks are capable of learning ...
10/27/2016 ∙ by Chen Huang, et al. ∙ 0 ∙ share

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Image Aesthetic Assessment: An Experimental Survey

This survey aims at reviewing recent computer vision techniques used in ...
10/04/2016 ∙ by Yubin Deng, et al. ∙ 0 ∙ share

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From Facial Expression Recognition to Interpersonal Relation Prediction

Interpersonal relation defines the association, e.g., warm, friendliness...
09/21/2016 ∙ by Zhanpeng Zhang, et al. ∙ 1 ∙ share

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Deep Markov Random Field for Image Modeling

Markov Random Fields (MRFs), a formulation widely used in generative ima...
09/07/2016 ∙ by Zhirong Wu, et al. ∙ 0 ∙ share

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Fashion Landmark Detection in the Wild

Visual fashion analysis has attracted many attentions in the recent year...
08/10/2016 ∙ by Ziwei Liu, et al. ∙ 0 ∙ share

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Deep Convolution Networks for Compression Artifacts Reduction

Lossy compression introduces complex compression artifacts, particularly...
08/09/2016 ∙ by Chao Dong, et al. ∙ 0 ∙ share

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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Deep convolutional networks have achieved great success for visual recog...
08/02/2016 ∙ by Limin Wang, et al. ∙ 0 ∙ share

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CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016

This paper presents the method that underlies our submission to the untr...
08/02/2016 ∙ by Yuanjun Xiong, et al. ∙ 0 ∙ share

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Accelerating the Super-Resolution Convolutional Neural Network

As a successful deep model applied in image super-resolution (SR), the S...
08/01/2016 ∙ by Chao Dong, et al. ∙ 0 ∙ share

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Deep Learning Markov Random Field for Semantic Segmentation

Semantic segmentation tasks can be well modeled by Markov Random Field (...
06/23/2016 ∙ by Ziwei Liu, et al. ∙ 0 ∙ share

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Actionness Estimation Using Hybrid Fully Convolutional Networks

Actionness was introduced to quantify the likelihood of containing a gen...
04/25/2016 ∙ by Limin Wang, et al. ∙ 0 ∙ share

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Discriminative Sparse Neighbor Approximation for Imbalanced Learning

Data imbalance is common in many vision tasks where one or more classes ...
02/03/2016 ∙ by Chen Huang, et al. ∙ 0 ∙ share

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Sparsifying Neural Network Connections for Face Recognition

This paper proposes to learn high-performance deep ConvNets with sparse ...
12/07/2015 ∙ by Yi Sun, et al. ∙ 0 ∙ share

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Adjustable Bounded Rectifiers: Towards Deep Binary Representations

Binary representation is desirable for its memory efficiency, computatio...
11/19/2015 ∙ by Zhirong Wu, et al. ∙ 0 ∙ share

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Learning Social Relation Traits from Face Images

Social relation defines the association, e.g, warm, friendliness, and do...
09/14/2015 ∙ by Zhanpeng Zhang, et al. ∙ 0 ∙ share

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Semantic Image Segmentation via Deep Parsing Network

This paper addresses semantic image segmentation by incorporating rich i...
09/09/2015 ∙ by Ziwei Liu, et al. ∙ 0 ∙ share

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A Large-Scale Car Dataset for Fine-Grained Categorization and Verification

Updated on 24/09/2015: This update provides preliminary experiment resul...
06/30/2015 ∙ by Linjie Yang, et al. ∙ 0 ∙ share

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Reading Scene Text in Deep Convolutional Sequences

We develop a Deep-Text Recurrent Network (DTRN) that regards scene text ...
06/14/2015 ∙ by Pan He, et al. ∙ 0 ∙ share

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Compression Artifacts Reduction by a Deep Convolutional Network

Lossy compression introduces complex compression artifacts, particularly...
04/27/2015 ∙ by Chao Dong, et al. ∙ 0 ∙ share

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DeepID3: Face Recognition with Very Deep Neural Networks

The state-of-the-art of face recognition has been significantly advanced...
02/03/2015 ∙ by Yi Sun, et al. ∙ 0 ∙ share

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Learning to Recognize Pedestrian Attribute

Learning to recognize pedestrian attributes at far distance is a challen...
01/05/2015 ∙ by Yubin Deng, et al. ∙ 0 ∙ share

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Image Super-Resolution Using Deep Convolutional Networks

We propose a deep learning method for single image super-resolution (SR)...
12/31/2014 ∙ by Chao Dong, et al. ∙ 0 ∙ share

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Xiaoou Tang

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