Joe Yue-Hei Ng

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 12

Top Venues

CoRR

CVPR

WACV

IEEE Trans. Geosci. Remote. Sens.

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Joe Yue-Hei Ng, Kevin McCloskey, Jian Cui, Vincent R. Meijer, Erica Brand, Aaron Sarna, Nita Goyal, Christopher Van Arsdale, Scott Geraedts
Contrail Detection on GOES-16 ABI With the OpenContrails Dataset. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Joe Yue-Hei Ng, Kevin McCloskey, Jian Cui, Erica Brand, Aaron Sarna, Nita Goyal, Christopher Van Arsdale, Scott Geraedts
OpenContrails: Benchmarking Contrail Detection on GOES-16 ABI. CoRR (2023)
Hyodong Lee, Joonseok Lee, Joe Yue-Hei Ng, Paul Natsev
Large Scale Video Representation Learning via Relational Graph Clustering. CVPR (2020)
Hanhan Li, Joe Yue-Hei Ng, Paul Natsev
EnsembleNet: End-to-End Optimization of Multi-headed Models. CoRR (2019)
Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng, Larry S. Davis
TAN: Temporal Aggregation Network for Dense Multi-Label Action Recognition. WACV (2019)
Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng, Larry S. Davis
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition. CoRR (2018)
Joe Yue-Hei Ng, Larry S. Davis
Temporal Difference Networks for Video Action Recognition. WACV (2018)
Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann, Larry S. Davis
ActionFlowNet: Learning Motion Representation for Action Recognition. WACV (2018)
Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis
Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval. CVPR (2017)
Xiyang Dai, Joe Yue-Hei Ng, Larry S. Davis
FASON: First and Second Order Information Fusion Network for Texture Recognition. CVPR (2017)
Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann, Larry S. Davis
ActionFlowNet: Learning Motion Representation for Action Recognition. CoRR (2016)
Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis
Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval. CoRR (2016)
Joe Yue-Hei Ng, Fan Yang, Larry S. Davis
Exploiting Local Features from Deep Networks for Image Retrieval. CoRR (2015)
Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
Beyond short snippets: Deep networks for video classification. CVPR (2015)
Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
Beyond Short Snippets: Deep Networks for Video Classification. CoRR (2015)
Joe Yue-Hei Ng, Fan Yang, Larry S. Davis
Exploiting local features from deep networks for image retrieval. CVPR Workshops (2015)

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Publication Activity (10 Years)

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Joe Yue-Hei Ng