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
123 publications
Hao Chen
92 publications
Xin Li
85 publications
Yue Wang
82 publications
Chen Change Loy
80 publications
Li Zhang
72 publications
Yu Liu
70 publications
Xiang Li
70 publications
Wanli Ouyang
70 publications
Jian Li
69 publications
Pheng-Ann Heng
66 publications

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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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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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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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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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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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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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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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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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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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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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 Ke Yu, et al. ∙ 10 ∙ share

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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

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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

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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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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

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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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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

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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

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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

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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

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1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation

This article introduces the solutions of the two champion teams, `MMfrui...
03/17/2020 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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KPNet: Towards Minimal Face Detector

The small receptive field and capacity of minimal neural networks limit ...
03/17/2020 ∙ by Guanglu Song, et al. ∙ 7 ∙ share

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Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation

The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fat...
07/26/2018 ∙ by Xiaohao Cai, et al. ∙ 6 ∙ share

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Instance-level Facial Attributes Transfer with Geometry-Aware Flow

We address the problem of instance-level facial attribute transfer witho...
11/30/2018 ∙ by Weidong Yin, et al. ∙ 6 ∙ share

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Unsupervised Bi-directional Flow-based Video Generation from one Snapshot

Imagining multiple consecutive frames given one single snapshot is chall...
03/03/2019 ∙ by Lu Sheng, et al. ∙ 6 ∙ share

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Dense Intrinsic Appearance Flow for Human Pose Transfer

We present a novel approach for the task of human pose transfer, which a...
03/27/2019 ∙ by Yining Li, et al. ∙ 6 ∙ share

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Learning to Cluster Faces on an Affinity Graph

Face recognition sees remarkable progress in recent years, and its perfo...
04/04/2019 ∙ by Lei Yang, et al. ∙ 6 ∙ share

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Prime Sample Attention in Object Detection

It is a common paradigm in object detection frameworks to treat all samp...
04/09/2019 ∙ by Yuhang Cao, et al. ∙ 6 ∙ share

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