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Du Tran

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His research interests are computer vision, machine learning, and computer graphics, with specific interests in human activity and video event analysis. He is a recipient of a Vietnam Education Foundation Fellowship in 2006 and a Dartmouth Presidential Fellowship in 2012.

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FASTER Recurrent Networks for Efficient Video Classification

Linchao Zhu,Du Tran, Laura Sevilla-Lara,Yi Yang,Matt Feiszli,Heng Wang

AAAI, pp.13098-13105, (2020)

EIBibtex

Self-Supervised Learning by Cross-Modal Audio-Video Clustering

Humam Alwassel,Dhruv Mahajan,Bruno Korbar,Lorenzo Torresani,Bernard Ghanem,Du Tran

NIPS 2020, (2020)

EIBibtex

What Makes Training Multi-Modal Classification Networks Hard

Weiyao Wang,Du Tran,Matt Feiszli

CVPR, pp.12692-12702, (2020)

Cited by1EIBibtex

DistInit: Learning Video Representations without a Single Labeled Video

Rohit Girdhar,Du Tran,Lorenzo Torresani,Deva Ramanan

International Conference on Computer Vision, (2019): 852-861

Cited by18EIBibtex

Video Classification With Channel-Separated Convolutional Networks

Du Tran,Heng Wang, Matt Feiszli,Lorenzo Torresani

ICCV, pp.5551-5560, (2019)

EIBibtex

SCSampler - Sampling Salient Clips From Video for Efficient Action Recognition

Bruno Korbar,Du Tran,Lorenzo Torresani

ICCV, pp.6231-6241, (2019)

Cited by9EIBibtex

DistInit - Learning Video Representations Without a Single Labeled Video

Rohit Girdhar,Du Tran,Lorenzo Torresani,Deva Ramanan

ICCV, pp.852-861, (2019)

Cited by7EIBibtex

FASTER Recurrent Networks for Video Classification

Linchao Zhu, Laura Sevilla-Lara,Du Tran,Matt Feiszli,Yi Yang,Heng Wang

CoRR, (2019)

Cited by3EIBibtex

Self-Supervised Learning by Cross-Modal Audio-Video Clustering

Alwassel Humam,Mahajan Dhruv,Torresani Lorenzo, Ghanem Bernard,Tran Du

neural information processing systems, (2019)

Cited by30Bibtex

Video Modeling with Correlation Networks

Heng Wang,Du Tran,Lorenzo Torresani,Matt Feiszli

CVPR 2020, (2019): 352-361

Cited by8EIBibtex

Learning Temporal Pose Estimation from Sparsely-Labeled Videos

Gedas Bertasius,Christoph Feichtenhofer,Du Tran,Jianbo Shi,Lorenzo Torresani

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 3021-3032

Cited by18EIBibtex

UniDual: A Unified Model for Image and Video Understanding

Yufei Wang,Du Tran,Lorenzo Torresani

CoRR, (2019)

EIBibtex

What Makes Training Multi-Modal Networks Hard

Weiyao Wang,Du Tran, Matt Feiszli

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

Large-scale weakly-supervised pre-training for video action recognition

Deepti Ghadiyaram, Matt Feiszli,Du Tran, Xueting Yan,Heng Wang,Dhruv Mahajan

arXiv: Computer Vision and Pattern Recognition, (2019)

EIBibtex

Video Classification with Channel-Separated Convolutional Networks

Du Tran,Heng Wang,Lorenzo Torresani,Matt Feiszli

International Conference on Computer Vision, (2019): 5552-5561

Cited by67EIBibtex

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition

Deepti Ghadiyaram,Du Tran,Dhruv Mahajan

CVPR, pp.12046-12055, (2019)

Cited by31EIBibtex

SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition

Bruno Korbar,Du Tran,Lorenzo Torresani

arXiv: Computer Vision and Pattern Recognition, (2019): 6232-6242

Cited by9EIBibtex

Leveraging the Present to Anticipate the Future in Videos

Antoine Miech,Ivan Laptev,Josef Sivic,Heng Wang,Lorenzo Torresani,Du Tran

CVPR Workshops, pp.0-0, (2019)

Cited by14EIBibtex

Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization

Bruno Korbar,Du Tran,Lorenzo Torresani

neural information processing systems, pp.7774-7785, (2018)

Cited by90EIBibtex

Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization

Bruno Korbar,Du Tran,Lorenzo Torresani

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018)

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