Interests
Computer vision, machine learning and computer graphics
Latest Publications
FASTER Recurrent Networks for Efficient Video Classification
Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang
AAAI - February 7, 2020
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
NeurIPS - October 27, 2019
Video Classification with Channel-Separated Convolutional Networks
Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli
ICCV - October 27, 2019
DistInit: Learning Video Representations Without a Single Labeled Video
Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan
ICCV - October 27, 2019
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition
Bruno Korbar, Du Tran, Lorenzo Torresani
ICCV - October 27, 2019
Leveraging the Present to Anticipate the Future in Videos
Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran
CVPR Precognition Workshop - June 16, 2019
Large-scale weakly-supervised pre-training for video action recognition
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Hen Wang, Dhruv Mahajan
CVPR - May 1, 2019
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri
CVPR 2018 - June 18, 2018
Detect-and-Track: Efficient Pose Estimation in Videos
Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran
CVPR 2018 - June 18, 2018
End-to-End Voxel-to-Voxel Prediction
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
CVPR 2016 - June 26, 2016
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
ArXiv - June 22, 2015