Pheng-Ann Heng

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The Chinese University of Hong Kong

Professor at the Department of Computer Science and Engineering at The Chinese University of Hong Kong, Department Chairman at the Department of Computer Science and Engineering at The Chinese University of Hong Kong from 2014 to 2017, Head of Graduate Division from 2005 to 2008 and then again from 2011 to 2016, Director of Virtual Reality, Visualization and Imaging Research Center at CUHK since 1999, Director of Center for Human-Computer Interaction at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences since 2006, Appointed by China Ministry of Education as a Cheung Kong Scholar Chair Professor in 2007.

Featured Co-authors

Wei Chen
200 publications
Hao Chen
158 publications
Lei Li
133 publications
Yi Wang
74 publications
Xin Yang
73 publications
Daniel Cohen-Or
72 publications
Feng Liu
71 publications
Yefeng Zheng
66 publications
Ben Glocker
65 publications
Lu Wang
65 publications
Guang Yang
60 publications

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

Fairness in recommendation has attracted increasing attention due to bia...
06/25/2021 ∙ by Weiwen Liu, et al. ∙ 0 ∙ share

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Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching

Federated learning (FL) has emerged with increasing popularity to collab...
06/16/2021 ∙ by Quande Liu, et al. ∙ 5 ∙ share

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Point Cloud Upsampling via Disentangled Refinement

Point clouds produced by 3D scanning are often sparse, non-uniform, and ...
06/09/2021 ∙ by Ruihui Li, et al. ∙ 11 ∙ share

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Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs

Deep learning has demonstrated radiograph screening performances that ar...
04/21/2021 ∙ by Luyang Luo, et al. ∙ 0 ∙ share

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Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection

With availability of huge amounts of labeled data, deep learning has ach...
04/07/2021 ∙ by Zhizhong Chai, et al. ∙ 0 ∙ share

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Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

The novel coronavirus disease 2019 (COVID-19) characterized by atypical ...
04/07/2021 ∙ by Yanwen Li, et al. ∙ 0 ∙ share

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Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation

The superior performance of CNN on medical image analysis heavily depend...
04/05/2021 ∙ by Cheng Xue, et al. ∙ 10 ∙ share

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Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Automatic breast lesion segmentation in ultrasound helps to diagnose bre...
04/05/2021 ∙ by Cheng Xue, et al. ∙ 18 ∙ share

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Temporal Memory Relation Network for Workflow Recognition from Surgical Video

Automatic surgical workflow recognition is a key component for developin...
03/30/2021 ∙ by Yueming Jin, et al. ∙ 10 ∙ share

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One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video

Surgical instrument segmentation in robot-assisted surgery (RAS) - espec...
03/24/2021 ∙ by Zixu Zhao, et al. ∙ 1 ∙ share

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Future Frame Prediction for Robot-assisted Surgery

Predicting future frames for robotic surgical video is an interesting, i...
03/18/2021 ∙ by Xiaojie Gao, et al. ∙ 6 ∙ share

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Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer

Real-time surgical phase recognition is a fundamental task in modern ope...
03/17/2021 ∙ by Xiaojie Gao, et al. ∙ 14 ∙ share

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FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

Federated learning allows distributed medical institutions to collaborat...
03/10/2021 ∙ by Quande Liu, et al. ∙ 12 ∙ share

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Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment

Automated surgical gesture recognition is of great importance in robot-a...
03/06/2021 ∙ by Xueying Shi, et al. ∙ 2 ∙ share

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Deep Texture-Aware Features for Camouflaged Object Detection

Camouflaged object detection is a challenging task that aims to identify...
02/05/2021 ∙ by Jingjing Ren, et al. ∙ 2 ∙ share

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Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation

Annotation scarcity is a long-standing problem in medical image analysis...
01/07/2021 ∙ by Kang Li, et al. ∙ 0 ∙ share

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Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

Supervised learning under label noise has seen numerous advances recentl...
12/10/2020 ∙ by Pengfei Chen, et al. ∙ 0 ∙ share

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Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

For multi-class classification under class-conditional label noise, we p...
12/08/2020 ∙ by Pengfei Chen, et al. ∙ 0 ∙ share

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Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery

Automatic surgical gesture recognition is fundamentally important to ena...
11/03/2020 ∙ by Yong-Hao Long, et al. ∙ 12 ∙ share

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DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

Deep convolutional neural networks have significantly boosted the perfor...
10/13/2020 ∙ by Shujun Wang, et al. ∙ 13 ∙ share

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Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation

The success of deep convolutional neural networks is partially attribute...
10/04/2020 ∙ by Kang Li, et al. ∙ 11 ∙ share

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Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation

Deep learning methods show promising results for overlapping cervical ce...
07/21/2020 ∙ by Yanning Zhou, et al. ∙ 8 ∙ share

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Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

The generalization capability of neural networks across domains is cruci...
07/18/2020 ∙ by Shujun Wang, et al. ∙ 0 ∙ 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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Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video

Performing low hertz labeling for surgical videos at intervals can great...
07/06/2020 ∙ by Zixu Zhao, et al. ∙ 0 ∙ share

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Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains

Model generalization capacity at domain shift (e.g., various imaging pro...
07/04/2020 ∙ by Quande Liu, et al. ∙ 0 ∙ share

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A Learning-Driven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises

Surgical knot tying is one of the most fundamental and important procedu...
07/02/2020 ∙ by Bo Lu, et al. ∙ 0 ∙ share

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DNF-Net: a Deep Normal Filtering Network for Mesh Denoising

This paper presents a deep normal filtering network, called DNF-Net, for...
06/28/2020 ∙ by Xianzhi Li, et al. ∙ 0 ∙ 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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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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Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes

Background and Objective: Biometric measurements of fetal head are impor...
04/28/2020 ∙ by Xin Yang, et al. ∙ 5 ∙ share

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LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition

Automatic surgical workflow recognition in video is an essentially funda...
04/21/2020 ∙ by Xueying Shi, et al. ∙ 0 ∙ share

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Robust Medical Instrument Segmentation Challenge 2019

Intraoperative tracking of laparoscopic instruments is often a prerequis...
03/23/2020 ∙ by Tobias Ross, et al. ∙ 13 ∙ 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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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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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Accurate medical image segmentation commonly requires effective learning...
02/22/2020 ∙ by Cheng Chen, et al. ∙ 10 ∙ share

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Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search

Automatic surgical gesture recognition is fundamental for improving inte...
02/20/2020 ∙ by Xiaojie Gao, et al. ∙ 0 ∙ share

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MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data

Automated prostate segmentation in MRI is highly demanded for computer-a...
02/09/2020 ∙ by Quande Liu, et al. ∙ 0 ∙ share

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Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Unsupervised domain adaptation has increasingly gained interest in medic...
02/06/2020 ∙ by Cheng Chen, et al. ∙ 0 ∙ 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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Instance Shadow Detection

Instance shadow detection is a brand new problem, aiming to find shadow ...
11/16/2019 ∙ by Tianyu Wang, et al. ∙ 35 ∙ share

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Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

Shadow detection in general photos is a nontrivial problem, due to the c...
11/16/2019 ∙ by Xiaowei Hu, et al. ∙ 0 ∙ share

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CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...
11/04/2019 ∙ by Xiaomeng Li, et al. ∙ 43 ∙ share

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FetusMap: Fetal Pose Estimation in 3D Ultrasound

The 3D ultrasound (US) entrance inspires a multitude of automated prenat...
10/11/2019 ∙ by Xin Yang, et al. ∙ 0 ∙ share

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Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound

Standard plane localization is crucial for ultrasound (US) diagnosis. In...
10/10/2019 ∙ by Haoran Dou, et al. ∙ 0 ∙ share

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An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

Automated skin lesion analysis is very crucial in clinical practice, as ...
09/05/2019 ∙ by Xueying Shi, et al. ∙ 0 ∙ share

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CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images

Colorectal cancer (CRC) grading is typically carried out by assessing th...
09/03/2019 ∙ by Yanning Zhou, et al. ∙ 0 ∙ share

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Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes

Volumetric ultrasound has great potentials in promoting prenatal examina...
08/31/2019 ∙ by Xu Wang, et al. ∙ 0 ∙ share

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IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation

Cell instance segmentation in Pap smear image remains challenging due to...
08/19/2019 ∙ by Yanning Zhou, et al. ∙ 0 ∙ share

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Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening

Optical Coherence Tomography (OCT) imaging plays an important role in gl...
07/26/2019 ∙ by Xi Wang, et al. ∙ 0 ∙ share

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