The Chinese University of Hong Kong

∙ BOSTON , Hong Kong ∙ 0 followers

The Chinese University of Hong Kong is a public research university in Shatin, Hong Kong formally established in 1963 by a charter granted by the Legislative Council of Hong Kong.

Featured Researchers

Xiaogang Wang
126 publications
Hao Chen
99 publications
Xin Li
98 publications
Yue Wang
92 publications
Chen Change Loy
88 publications
Li Zhang
83 publications
Yu Liu
76 publications
Wanli Ouyang
76 publications
Jian Li
74 publications
Pheng-Ann Heng
72 publications
Dahua Lin
72 publications

Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

Training deep neural networks usually requires a large amount of labeled...
05/15/2020 ∙ by Quande Liu, et al. ∙ 55 ∙ share

read it
Residual Knowledge Distillation

Knowledge distillation (KD) is one of the most potent ways for model com...
02/21/2020 ∙ by Mengya Gao, et al. ∙ 34 ∙ share

read it
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

read it
Learning to Cluster Faces via Confidence and Connectivity Estimation

Face clustering is an essential tool for exploiting the unlabeled face d...
04/01/2020 ∙ by Lei Yang, et al. ∙ 25 ∙ share

read it
Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis

For recovering 3D object poses from 2D images, a prevalent method is to ...
12/29/2018 ∙ by Jianqiao Wangni, et al. ∙ 24 ∙ share

read it
Unpaired Multi-modal Segmentation via Knowledge Distillation

Multi-modal learning is typically performed with network architectures c...
01/06/2020 ∙ by Qi Dou, et al. ∙ 23 ∙ share

read it
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation

Monocular 3D object detection task aims to predict the 3D bounding boxes...
02/05/2020 ∙ by Yingjie Cai, et al. ∙ 23 ∙ share

read it
UPSNet: A Unified Panoptic Segmentation Network

In this paper, we propose a unified panoptic segmentation network (UPSNe...
01/12/2019 ∙ by Yuwen Xiong, et al. ∙ 22 ∙ share

read it
Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)

Generative Adversarial Networks (GANs) have achieved impressive results ...
01/29/2019 ∙ by David Bau, et al. ∙ 22 ∙ share

read it
Temporal Pyramid Network for Action Recognition

Visual tempo characterizes the dynamics and the temporal scale of an act...
04/07/2020 ∙ by Ceyuan Yang, et al. ∙ 21 ∙ share

read it
Semantic Photo Manipulation with a Generative Image Prior

Despite the recent success of GANs in synthesizing images conditioned on...
05/15/2020 ∙ by David Bau, et al. ∙ 21 ∙ share

read it
Region Proposal by Guided Anchoring

Region anchors are the cornerstone of modern object detection techniques...
01/10/2019 ∙ by Jiaqi Wang, et al. ∙ 20 ∙ share

read it
Stochastic Online Learning with Probabilistic Graph Feedback

We consider a problem of stochastic online learning with general probabi...
03/04/2019 ∙ by Shuai Li, et al. ∙ 20 ∙ share

read it
Side-Aware Boundary Localization for More Precise Object Detection

Current object detection frameworks mainly rely on bounding box regressi...
12/09/2019 ∙ by Jiaqi Wang, et al. ∙ 20 ∙ share

read it
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

We present a lightweight video motion retargeting approach TransMoMo tha...
03/31/2020 ∙ by Zhuoqian Yang, et al. ∙ 19 ∙ share

read it
Human vs Machine Attention in Neural Networks: A Comparative Study

Recent years have witnessed a surge in the popularity of attention mecha...
06/20/2019 ∙ by Qiuxia Lai, et al. ∙ 18 ∙ share

read it
Temporal Interlacing Network

For a long time, the vision community tries to learn the spatio-temporal...
01/17/2020 ∙ by Hao Shao, et al. ∙ 17 ∙ share

read it
3DSSD: Point-based 3D Single Stage Object Detector

Currently, there have been many kinds of voxel-based 3D single stage det...
02/24/2020 ∙ by Zetong Yang, et al. ∙ 17 ∙ share

read it
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs

Graph neural networks (GNNs) have received much attention recently becau...
02/18/2020 ∙ by Han Yang, et al. ∙ 16 ∙ share

read it
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

We introduce a new molecular dataset, named Alchemy, for developing mach...
06/22/2019 ∙ by Guangyong Chen, et al. ∙ 15 ∙ share

read it
Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention

This paper presents a new approach to recognize elements in floor plan l...
08/29/2019 ∙ by Zhiliang Zeng, et al. ∙ 15 ∙ share

read it
Real or Not Real, that is the Question

While generative adversarial networks (GAN) have been widely adopted in ...
02/12/2020 ∙ by Yuanbo Xiangli, et al. ∙ 15 ∙ share

read it
A Rotation-Invariant Framework for Deep Point Cloud Analysis

Recently, many deep neural networks were designed to process 3D point cl...
03/16/2020 ∙ by Xianzhi Li, et al. ∙ 15 ∙ share

read it
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

Deep convolutional neural networks have achieved remarkable progress on ...
02/28/2019 ∙ by Xiaomeng Li, et al. ∙ 14 ∙ share

read it
Deep Flow-Guided Video Inpainting

Video inpainting, which aims at filling in missing regions of a video, r...
05/08/2019 ∙ by Rui Xu, et al. ∙ 14 ∙ share

read it
P2SGrad: Refined Gradients for Optimizing Deep Face Models

Cosine-based softmax losses significantly improve the performance of dee...
05/07/2019 ∙ by Xiao Zhang, et al. ∙ 14 ∙ share

read it
Knowledge Distillation Meets Self-Supervision

Knowledge distillation, which involves extracting the "dark knowledge" f...
06/12/2020 ∙ by Guodong Xu, et al. ∙ 14 ∙ share

read it
Deep Mining External Imperfect Data for Chest X-ray Disease Screening

Deep learning approaches have demonstrated remarkable progress in automa...
06/06/2020 ∙ by Luyang Luo, et al. ∙ 13 ∙ share

read it
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

Glaucoma is a leading cause of irreversible blindness. Accurate segmenta...
02/20/2019 ∙ by Shujun Wang, et al. ∙ 12 ∙ share

read it
Salient Object Detection in the Deep Learning Era: An In-Depth Survey

As an important problem in computer vision, salient object detection (SO...
04/19/2019 ∙ by Wenguan Wang, et al. ∙ 12 ∙ share

read it
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

Video restoration tasks, including super-resolution, deblurring, etc, ar...
05/07/2019 ∙ by Xintao Wang, et al. ∙ 12 ∙ share

read it
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

We propose a new STAcked and Reconstructed Graph Convolutional Networks ...
05/27/2019 ∙ by Jiani Zhang, et al. ∙ 12 ∙ share

read it
Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation

Facial landmark detection, or face alignment, is a fundamental task that...
08/18/2019 ∙ by Shengju Qian, et al. ∙ 12 ∙ share

read it
Learning to Synthesize Fashion Textures

Existing unconditional generative models mainly focus on modeling genera...
11/18/2019 ∙ by Wu Shi, et al. ∙ 12 ∙ share

read it
Rethinking the Form of Latent States in Image Captioning

RNNs and their variants have been widely adopted for image captioning. I...
07/26/2018 ∙ by Bo Dai, et al. ∙ 10 ∙ share

read it
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?

Yes, they do. This work investigates a perspective for deep learning: wh...
11/19/2018 ∙ by Ping Luo, et al. ∙ 10 ∙ share

read it
Improved Algorithm on Online Clustering of Bandits

We generalize the setting of online clustering of bandits by allowing no...
02/25/2019 ∙ by Shuai Li, et al. ∙ 10 ∙ share

read it
Large-Scale Long-Tailed Recognition in an Open World

Real world data often have a long-tailed and open-ended distribution. A ...
04/10/2019 ∙ by Ziwei Liu, et al. ∙ 10 ∙ share

read it
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

read it
CARAFE: Content-Aware ReAssembly of FEatures

Feature upsampling is a key operation in a number of modern convolutiona...
05/06/2019 ∙ by Jiaqi Wang, et al. ∙ 10 ∙ share

read it
Concise and Effective Network for 3D Human Modeling from Orthogonal Silhouettes

In this paper, we revisit the problem of 3D human modeling from two orth...
12/25/2019 ∙ by Bin Liu, et al. ∙ 9 ∙ share

read it
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

read it
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition

Face recognition has witnessed great progress in recent years, mainly at...
09/05/2018 ∙ by Xiaohang Zhan, et al. ∙ 8 ∙ share

read it
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

read it
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

read it
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

This paper presents a novel unsupervised domain adaptation framework, ca...
01/24/2019 ∙ by Cheng Chen, et al. ∙ 8 ∙ share

read it
DDFlow: Learning Optical Flow with Unlabeled Data Distillation

We present DDFlow, a data distillation approach to learning optical flow...
02/25/2019 ∙ by Pengpeng Liu, et al. ∙ 8 ∙ share

read it
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

We present PointAugment, a new auto-augmentation framework that automati...
02/25/2020 ∙ by Ruihui Li, et al. ∙ 8 ∙ share

read it
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism

A good parallelization strategy can significantly improve the efficiency...
04/16/2020 ∙ by Zhenkun Cai, et al. ∙ 8 ∙ share

read it
Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking

In this paper, we propose a generative framework that unifies depth-base...
05/06/2019 ∙ by Lu Sheng, et al. ∙ 7 ∙ share

read it