Joe Yue-Hei Ng


Bio

I obtained my PhD in the Department of Computer Science at University of Maryland, College Park, with Prof. Larry Davis as my supervisor. Before coming to UMD, I got my Bachelor degree in Computer Science from The Chinese University of Hong Kong. My research has been primarily focused on computer vision, specifically video action recognition.


Publications

Large Scale Video Representation Learning via Relational Graph Clustering

Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Paul Natsev

In Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Ref: [pdf]

EnsembleNet: End-to-End Optimization of Multi-headed Models

Hanhan Li, Joe Yue-Hei Ng, Paul Natsev

Ref: [arxiv]

TAN: Temporal Aggregation Network for Dense Multi-Label Action Recognition

Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng, Larry S. Davis

In IEEE Winter Conference on Applications of Computer Vision (WACV) 2019

Ref: [arxiv]

ActionFlowNet: Learning Motion Representation for Action Recognition

Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann, Larry S. Davis

In IEEE Winter Conference on Applications of Computer Vision (WACV) 2018

Ref: [arxiv]

Temporal Difference Networks for Video Action Recognition

Joe Yue-Hei Ng, Larry S. Davis

In IEEE Winter Conference on Applications of Computer Vision (WACV) 2018

Ref: [paper]

FASON: First And Second Order Information Fusion Network for Texture Recognition

Xiyang Dai, Joe Yue-Hei Ng and Larry S. Davis

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

Ref: [pdf]

Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval

Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu and Larry S. Davis

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

Ref: [arxiv]

Beyond Short Snippets: Deep Networks for Video Classification

Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga and George Toderici

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015

Ref: [arxiv], [Google research blog]

Exploiting Local Features from Deep Networks for Image Retrieval

Joe Yue-Hei Ng, Fan Yang and Larry S. Davis

In IEEE Conference on Computer Vision and Pattern Recognition, DeepVision Workshop (CVPRW) 2015

Ref: [arxiv]



Talks

June 2016

University of Amsterdam, Netherlands

Beyond Short Snippets: Deep Networks for Video Classification (Invited Talk)
May 2017

Mid-Atalantic Computer Vision (MACV) Workshop, University of Pennsylvania

ActionFlowNet: Learning Motion Representation for Action Recognition
Mar 2018

Workshop on Computer Vision for Active and Assisted Living, WACV 2018

ActionFlowNet: Learning Motion Representation for Action Recognition (Invited Talk)