Heng Wang

Heng Wang

Research Scientist @ Nvidia

You can find the full list of my publications on Image and Image. The following are selected publications:

Image Open-World Instance Segmentation: Exploiting Pseudo Ground Truth Learned from Pairwise Affinity.
Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran. CVPR, 2022.
Paper, Project page, Code
Image PyTorchVideo: A Deep Learning Library for Video Understanding.
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer. ACM International Conference on Multimedia, 2021.
Paper, Project page, Code, Facebook AI Blog
Image Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation.
Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran. ICCV, 2021.
Paper, Dataset, Workshop, Challenge, Facebook AI Blog
Image Searching for Two-Stream Models in Multivariate Space for Video Recognition.
Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan. ICCV, 2021.
Paper
Image Interactive Prototype Learning for Egocentric Action Recognition.
Xiaohan Wang, Linchao Zhu, Heng Wang, Yi Yang. ICCV, 2021.
Paper
Image Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius, Heng Wang, Lorenzo Torresani. ICML, 2021.
Paper, Code, Facebook AI Blog
Image Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories.
Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang. CVPR, 2021.
Paper, Poster, Slides
Image Proposal-based Video Completion.
Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing. ECCV, 2020.
Paper, Supplementary Material
Image Video Modeling with Correlation Networks.
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli. CVPR, 2020.
Paper
Image FASTER Recurrent Networks for Efficient Video Classification.
Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang. AAAI, 2020.
Paper
Image Video Classification with Channel-Separated Convolutional Networks.
Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli. ICCV, 2019.
Paper, Code
Image Large-scale Weakly-Supervised Pre-training for Video Action Recognition.
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan. CVPR, 2019.
Paper, Code
Image Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset.
Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Palurin. ECCV, 2018.
Paper
Image A Closer Look at Spatiotemporal Convolutions for Action Recognition.
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri. CVPR, 2018.
Paper, Code
Image A Robust and Efficient Video Representation for Action Recognition.
Heng Wang, Dan Oneata, Jakob Verbeek, Cordelia Schmid. IJCV, 2016.
Paper
Image Action Recognition with Improved Trajectories.
Heng Wang, Cordelia Schmid. ICCV, 2013.
Paper, Code, Project page
Image Dense Trajectories and Motion Boundary Descriptors for Action Recognition.
Heng Wang, Alexander Klaser, Cordelia Schmid, Cheng-Lin Liu. IJCV, 2013.
Paper
Image Action Recognition by Dense Trajectories.
Heng Wang, Alexander Klaser, Cordelia Schmid, Cheng-Lin Liu. CVPR, 2011.
Paper, Code, Project page
Image Evaluation of Local Spatio-temporal Features for Action Recognition.
Heng Wang, Muhammad Muneeb Ullah, Alexander Klaser, Ivan Laptev, Cordelia Schmid. BMVC, 2009.
Paper