Beyond short snippets: Deep networks for video classification. - Joe Yue-Hei Ng; Matthew J. Hausknecht; Sudheendra Vijayanarasimhan; Oriol Vinyals; Rajat Monga; George Toderici (CVPR, 2015)

Exploiting local features from deep networks for image retrieval. - Joe Yue-Hei Ng; Fan Yang 016; Larry S. Davis (CVPR Workshops, 2015)

FASON: First and Second Order Information Fusion Network for Texture Recognition. - Xiyang Dai; Joe Yue-Hei Ng; Larry S. Davis (CVPR, 2017)

Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval. - Ang Li 001; Jin Sun 011; Joe Yue-Hei Ng; Ruichi Yu; Vlad I. Morariu; Larry S. Davis (CVPR, 2017)

ActionFlowNet: Learning Motion Representation for Action Recognition. - Joe Yue-Hei Ng; Jonghyun Choi; Jan Neumann; Larry S. Davis (WACV, 2018)

Temporal Difference Networks for Video Action Recognition. - Joe Yue-Hei Ng; Larry S. Davis (WACV, 2018)

Video Understanding with Deep Networks. - Joe Yue-Hei Ng (2018)

TAN: Temporal Aggregation Network for Dense Multi-Label Action Recognition. - Xiyang Dai; Bharat Singh; Joe Yue-Hei Ng; Larry S. Davis (WACV, 2019)

EnsembleNet: End-to-End Optimization of Multi-headed Models. - Hanhan Li; Joe Yue-Hei Ng; Paul Natsev (CoRR, 2019)

Large Scale Video Representation Learning via Relational Graph Clustering. - Hyodong Lee; Joonseok Lee; Joe Yue-Hei Ng; Paul Natsev (CVPR, 2020)

OpenContrails: Benchmarking Contrail Detection on GOES-16 ABI. - Joe Yue-Hei Ng; Kevin McCloskey; Jian Cui 002; Vincent R. Meijer; Erica Brand; Aaron Sarna; Nita Goyal; Christopher Van Arsdale; Scott Geraedts (CoRR, 2023)

Contrail Detection on GOES-16 ABI With the OpenContrails Dataset. - Joe Yue-Hei Ng; Kevin McCloskey; Jian Cui 002; Vincent R. Meijer; Erica Brand; Aaron Sarna; Nita Goyal; Christopher Van Arsdale; Scott Geraedts (IEEE Trans. Geosci. Remote. Sens., 2024)