Xiaoou Tang

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The Chinese University of Hong Kong

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

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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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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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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Path-Restore: Learning Network Path Selection for Image Restoration

Very deep Convolutional Neural Networks (CNNs) have greatly improved the...
04/23/2019 ∙ by Ke Yu, et al. ∙ 10 ∙ 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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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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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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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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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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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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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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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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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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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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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 Ke Yu, 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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Surpassing Human-Level Face Verification Performance on LFW with GaussianFace

Face verification remains a challenging problem in very complex conditio...
04/15/2014 ∙ by Chaochao Lu, 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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DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection

In this paper, we propose deformable deep convolutional neural networks ...
12/17/2014 ∙ by Wanli Ouyang, et al. ∙ 0 ∙ share

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Deeply learned face representations are sparse, selective, and robust

This paper designs a high-performance deep convolutional network (DeepID...
12/03/2014 ∙ by Yi Sun, et al. ∙ 0 ∙ share

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Pedestrian Detection aided by Deep Learning Semantic Tasks

Deep learning methods have achieved great success in pedestrian detectio...
11/29/2014 ∙ by Yonglong Tian, et al. ∙ 0 ∙ share

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Deep Learning Face Attributes in the Wild

Predicting face attributes in the wild is challenging due to complex fac...
11/28/2014 ∙ by Ziwei Liu, et al. ∙ 0 ∙ share

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DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

In this paper, we propose multi-stage and deformable deep convolutional ...
09/11/2014 ∙ by Wanli Ouyang, et al. ∙ 0 ∙ share

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Transferring Landmark Annotations for Cross-Dataset Face Alignment

Dataset bias is a well known problem in object recognition domain. This ...
09/02/2014 ∙ by Shizhan Zhu, et al. ∙ 0 ∙ share

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Xiaoou Tang

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