Du Tran

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 47

Top Topics

Video Event Detection

Frame Interpolation

Video Classification

Supervised Learning

Top Venues

Publications

Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran
Relational Space-Time Query in Long-Form Videos. CVPR (2023)
Du Tran, Jitendra Malik
Learning Space-Time Semantic Correspondences. CoRR (2023)
Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. WACV (2023)
Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. CoRR (2023)
Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran
FLAVR: flow-free architecture for fast video frame interpolation. Mach. Vis. Appl. 34 (5) (2023)
Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran
MINOTAUR: Multi-task Video Grounding From Multimodal Queries. CoRR (2023)
Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. CoRR (2022)
Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. CVPR (2022)
Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani
Long-Short Temporal Contrastive Learning of Video Transformers. CVPR (2022)
Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. CoRR (2021)
Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani
Long-Short Temporal Contrastive Learning of Video Transformers. CoRR (2021)
Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. ICCV (2021)
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
Video Modeling With Correlation Networks. CVPR (2020)
Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang
FASTER Recurrent Networks for Efficient Video Classification. AAAI (2020)
Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. NeurIPS (2020)
Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. CoRR (2020)
Weiyao Wang, Du Tran, Matt Feiszli
What Makes Training Multi-Modal Classification Networks Hard? CVPR (2020)
Yufei Wang, Du Tran, Lorenzo Torresani
UniDual: A Unified Model for Image and Video Understanding. CoRR (2019)
Bruno Korbar, Du Tran, Lorenzo Torresani
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition. CoRR (2019)
Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang
FASTER Recurrent Networks for Video Classification. CoRR (2019)
Bruno Korbar, Du Tran, Lorenzo Torresani
SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition. ICCV (2019)
Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan
DistInit: Learning Video Representations Without a Single Labeled Video. ICCV (2019)
Deepti Ghadiyaram, Du Tran, Dhruv Mahajan
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition. CVPR (2019)
Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani
Video Classification With Channel-Separated Convolutional Networks. ICCV (2019)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. CoRR (2019)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. NeurIPS (2019)
Antoine Miech, Ivan Laptev, Josef Sivic, Heng Wang, Lorenzo Torresani, Du Tran
Leveraging the Present to Anticipate the Future in Videos. CVPR Workshops (2019)
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan
Large-scale weakly-supervised pre-training for video action recognition. CoRR (2019)
Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan
DistInit: Learning Video Representations without a Single Labeled Video. CoRR (2019)
Weiyao Wang, Du Tran, Matt Feiszli
What Makes Training Multi-Modal Networks Hard? CoRR (2019)
Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran
Self-Supervised Learning by Cross-Modal Audio-Video Clustering. CoRR (2019)
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
Video Modeling with Correlation Networks. CoRR (2019)
Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli
Video Classification with Channel-Separated Convolutional Networks. CoRR (2019)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Discriminative Motion Features Through Detection. CoRR (2018)
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri
A Closer Look at Spatiotemporal Convolutions for Action Recognition. CVPR (2018)
Bruno Korbar, Du Tran, Lorenzo Torresani
Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization. CoRR (2018)
Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Paluri
Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset. ECCV (14) (2018)
Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran
Detect-and-Track: Efficient Pose Estimation in Videos. CVPR (2018)
Bruno Korbar, Du Tran, Lorenzo Torresani
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. NeurIPS (2018)
Du Tran, Jamie Ray, Zheng Shou, Shih-Fu Chang, Manohar Paluri
ConvNet Architecture Search for Spatiotemporal Feature Learning. CoRR (2017)
Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran
Detect-and-Track: Efficient Pose Estimation in Videos. CoRR (2017)
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri
A Closer Look at Spatiotemporal Convolutions for Action Recognition. CoRR (2017)
Shruti Agarwal, Du Tran, Lorenzo Torresani, Hany Farid
Deciphering Severely Degraded License Plates. Media Watermarking, Security, and Forensics (2017)
Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala
Transformation-Based Models of Video Sequences. CoRR (2017)
Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
Deep End2End Voxel2Voxel Prediction. CVPR Workshops (2016)
Du Tran, Manohar Paluri, Lorenzo Torresani
ViCom: Benchmark and Methods for Video Comprehension. CoRR (2016)
Du Tran, Lorenzo Torresani
EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis. Int. J. Comput. Vis. 119 (3) (2016)
Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
Deep End2End Voxel2Voxel Prediction. CoRR (2015)
Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
Learning Spatiotemporal Features with 3D Convolutional Networks. ICCV (2015)
Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
C3D: Generic Features for Video Analysis. CoRR (2014)
Du Tran, Lorenzo Torresani
EXMOVES: Classifier-based Features for Scalable Action Recognition. ICLR (Poster) (2014)
Du Tran, Junsong Yuan, David A. Forsyth
Video Event Detection: From Subvolume Localization to Spatiotemporal Path Search. IEEE Trans. Pattern Anal. Mach. Intell. 36 (2) (2014)
Du Tran, Junsong Yuan
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization. NIPS (2012)
Du Tran, Junsong Yuan
Optimal spatio-temporal path discovery for video event detection. CVPR (2011)
Du Tran, Alexander Sorokin
Human Activity Recognition with Metric Learning. ECCV (1) (2008)