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
142 publications
Hao Chen
141 publications
Xin Li
139 publications
Yue Wang
130 publications
Li Zhang
125 publications
Hao Li
113 publications
Chen Change Loy
111 publications
Wanli Ouyang
97 publications
Pheng-Ann Heng
94 publications
Li Wang
91 publications
Zhe Wang
90 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

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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

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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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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

We present a new loss function called Distribution-Balanced Loss for the...
07/19/2020 ∙ by Tong Wu, et al. ∙ 26 ∙ share

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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

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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

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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

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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

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Unsupervised Image Transformation Learning via Generative Adversarial Networks

In this work, we study the image transformation problem by learning the ...
03/13/2021 ∙ by Kaiwen Zha, et al. ∙ 23 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection

We present a new domain adaptive self-training pipeline, named ST3D, for...
03/09/2021 ∙ by Jihan Yang, et al. ∙ 18 ∙ share

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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

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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

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Balanced Meta-Softmax for Long-Tailed Visual Recognition

Deep classifiers have achieved great success in visual recognition. Howe...
07/21/2020 ∙ by Jiawei Ren, et al. ∙ 17 ∙ share

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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

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Single-Layer Graph Convolutional Networks For Recommendation

Graph Convolutional Networks (GCNs) and their variants have received sig...
06/07/2020 ∙ by Yue Xu, et al. ∙ 16 ∙ share

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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

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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

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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

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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

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Improving the Fairness of Deep Generative Models without Retraining

Generative Adversarial Networks (GANs) have recently advanced face synth...
12/09/2020 ∙ by Shuhan Tan, et al. ∙ 15 ∙ share

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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

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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

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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

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Knowledge Distillation Meets Self-Supervision

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

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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

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Photon: A Robust Cross-Domain Text-to-SQL System

Natural language interfaces to databases (NLIDB) democratize end user ac...
07/30/2020 ∙ by Jichuan Zeng, et al. ∙ 13 ∙ share

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Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions

We propose a novel algorithm, named Open-Edit, which is the first attemp...
08/04/2020 ∙ by Xihui Liu, et al. ∙ 13 ∙ share

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AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks

Significant progress has been achieved in automating the design of vario...
03/25/2021 ∙ by Hao Li, et al. ∙ 13 ∙ share

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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

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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

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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

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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

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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

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Learning to Synthesize Fashion Textures

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

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Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation

Medical image annotations are prohibitively time-consuming and expensive...
07/13/2020 ∙ by Kang Li, et al. ∙ 11 ∙ share

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Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction

3D face reconstruction is a fundamental task that can facilitate numerou...
08/28/2020 ∙ by Yunxuan Zhang, et al. ∙ 11 ∙ share

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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

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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

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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

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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

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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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