Pheng-Ann Heng

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Xiamen University

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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
243 publications
Hao Chen
230 publications
Ling Shao
192 publications
Lei Li
189 publications
Bin Li
148 publications
Kai Chen
135 publications
Xin Yang
111 publications
Yang Yu
108 publications
Feng Liu
102 publications
Yi Wang
99 publications
Dong Li
92 publications

∙ 07/20/2022

Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations

Surgical scene segmentation is fundamentally crucial for prompting cogni...

Yang Yu, et al. ∙

∙ 07/11/2022

Instance Shadow Detection with A Single-Stage Detector

This paper formulates a new problem, instance shadow detection, which ai...

Tianyu Wang, et al. ∙

∙ 07/08/2022

RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection

This paper presents a Refinement Pyramid Transformer (RePFormer) for rob...

Jinpeng Li, et al. ∙

∙ 07/05/2022

ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

Most of the existing object detection works are based on the bounding bo...

Zhizhong Chai, et al. ∙

∙ 06/29/2022

Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary

Domain generalization typically requires data from multiple source domai...

Quande Liu, et al. ∙

∙ 05/10/2022

Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training

Deep neural networks have achieved remarkable success in a wide variety ...

Cheng Xue, et al. ∙

∙ 04/07/2022

3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery

Automatic laparoscope motion control is fundamentally important for surg...

Bin Li, et al. ∙

∙ 03/30/2022

Acknowledging the Unknown for Multi-label Learning with Single Positive Labels

Due to the difficulty of collecting exhaustive multi-label annotations, ...

Donghao Zhou, et al. ∙

∙ 03/29/2022

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation

Automatic surgical scene segmentation is fundamental for facilitating co...

Yueming Jin, et al. ∙

∙ 03/24/2022

LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction

Precise congestion prediction from a placement solution plays a crucial ...

Bowen Wang, et al. ∙

∙ 03/18/2022

Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification

Deep learning models were frequently reported to learn from shortcuts li...

Luyang Luo, et al. ∙

∙ 03/05/2022

Towards Robust Part-aware Instance Segmentation for Industrial Bin Picking

Industrial bin picking is a challenging task that requires accurate and ...

Yidan Feng, et al. ∙

∙ 02/17/2022

TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery

Surgical instrument segmentation – in general a pixel classification tas...

Zixu Zhao, et al. ∙

∙ 11/08/2021

Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network

We propose a novel shape-aware relation network for accurate and real-ti...

Jiacheng Wang, et al. ∙

∙ 11/05/2021

Hepatic vessel segmentation based on 3Dswin-transformer with inductive biased multi-head self-attention

Purpose: Segmentation of liver vessels from CT images is indispensable p...

Mian Wu, et al. ∙

∙ 10/09/2021

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning

The backpropagation networks are notably susceptible to catastrophic for...

Danruo Deng, et al. ∙

∙ 09/30/2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

PURPOSE: Surgical workflow and skill analysis are key technologies for t...

Martin Wagner, et al. ∙

∙ 09/28/2021

Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video

Performing a real-time and accurate instrument segmentation from videos ...

Jiacheng Wang, et al. ∙

∙ 09/28/2021

Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning

This paper presents a self-supervised method for learning reliable visua...

Zixu Zhao, et al. ∙

∙ 09/19/2021

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling

Domain adaptation typically requires to access source domain data to uti...

Cheng Chen, et al. ∙

∙ 09/13/2021

HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation

Modern deep neural networks struggle to transfer knowledge and generaliz...

Yijun Yang, et al. ∙

∙ 08/30/2021

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

Autonomous surgical execution relieves tedious routines and surgeon's fa...

Jiaqi Xu, et al. ∙

∙ 06/25/2021

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

Fairness in recommendation has attracted increasing attention due to bia...

Weiwen Liu, et al. ∙

∙ 06/16/2021

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

Federated learning (FL) has emerged with increasing popularity to collab...

Quande Liu, et al. ∙

∙ 06/09/2021

Point Cloud Upsampling via Disentangled Refinement

Point clouds produced by 3D scanning are often sparse, non-uniform, and ...

Ruihui Li, et al. ∙

∙ 04/21/2021

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

Deep learning has demonstrated radiograph screening performances that ar...

Luyang Luo, et al. ∙

∙ 04/07/2021

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...

Zhizhong Chai, et al. ∙

∙ 04/07/2021

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 ...

Yanwen Li, et al. ∙

∙ 04/05/2021

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

The superior performance of CNN on medical image analysis heavily depend...

Cheng Xue, et al. ∙

∙ 04/05/2021

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Automatic breast lesion segmentation in ultrasound helps to diagnose bre...

Cheng Xue, et al. ∙

∙ 03/30/2021

Temporal Memory Relation Network for Workflow Recognition from Surgical Video

Automatic surgical workflow recognition is a key component for developin...

Yueming Jin, et al. ∙

∙ 03/24/2021

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...

Zixu Zhao, et al. ∙

∙ 03/18/2021

Future Frame Prediction for Robot-assisted Surgery

Predicting future frames for robotic surgical video is an interesting, i...

Xiaojie Gao, et al. ∙

∙ 03/17/2021

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...

Xiaojie Gao, et al. ∙

∙ 03/10/2021

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

Federated learning allows distributed medical institutions to collaborat...

Quande Liu, et al. ∙

∙ 03/06/2021

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

Automated surgical gesture recognition is of great importance in robot-a...

Xueying Shi, et al. ∙

∙ 02/05/2021

Deep Texture-Aware Features for Camouflaged Object Detection

Camouflaged object detection is a challenging task that aims to identify...

Jingjing Ren, et al. ∙

∙ 01/07/2021

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...

Kang Li, et al. ∙

∙ 12/10/2020

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

Supervised learning under label noise has seen numerous advances recentl...

Pengfei Chen, et al. ∙

∙ 12/08/2020

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

For multi-class classification under class-conditional label noise, we p...

Pengfei Chen, et al. ∙

∙ 11/03/2020

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

Automatic surgical gesture recognition is fundamentally important to ena...

Yong-Hao Long, et al. ∙

∙ 10/13/2020

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

Deep convolutional neural networks have significantly boosted the perfor...

Shujun Wang, et al. ∙

∙ 10/04/2020

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

The success of deep convolutional neural networks is partially attribute...

Kang Li, et al. ∙

∙ 07/21/2020

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

Deep learning methods show promising results for overlapping cervical ce...

Yanning Zhou, et al. ∙

∙ 07/18/2020

Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

The generalization capability of neural networks across domains is cruci...

Shujun Wang, et al. ∙

∙ 07/13/2020

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

Medical image annotations are prohibitively time-consuming and expensive...

Kang Li, et al. ∙

∙ 07/06/2020

Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video

Performing low hertz labeling for surgical videos at intervals can great...

Zixu Zhao, et al. ∙

∙ 07/04/2020

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

Model generalization capacity at domain shift (e.g., various imaging pro...

Quande Liu, et al. ∙

∙ 07/02/2020

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...

Bo Lu, et al. ∙

∙ 06/28/2020

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

This paper presents a deep normal filtering network, called DNF-Net, for...

Xianzhi Li, et al. ∙