Human Activity Recognition with Metric Learning. - Du Tran; Alexander Sorokin (ECCV (1), 2008)

Optimal spatio-temporal path discovery for video event detection. - Du Tran; Junsong Yuan 001 (CVPR, 2011)

Max-Margin Structured Output Regression for Spatio-Temporal Action Localization. - Du Tran; Junsong Yuan 001 (NIPS, 2012)

C3D: Generic Features for Video Analysis. - Du Tran; Lubomir D. Bourdev; Rob Fergus; Lorenzo Torresani; Manohar Paluri (CoRR, 2014)

EXMOVES: Classifier-based Features for Scalable Action Recognition. - Du Tran; Lorenzo Torresani (ICLR (Poster), 2014)

Video Event Detection: From Subvolume Localization to Spatiotemporal Path Search. - Du Tran; Junsong Yuan 001; David A. Forsyth (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Learning Spatiotemporal Features with 3D Convolutional Networks. - Du Tran; Lubomir D. Bourdev; Rob Fergus; Lorenzo Torresani; Manohar Paluri (ICCV, 2015)

Deep End2End Voxel2Voxel Prediction. - Du Tran; Lubomir D. Bourdev; Rob Fergus; Lorenzo Torresani; Manohar Paluri (CVPR Workshops, 2016)

ViCom: Benchmark and Methods for Video Comprehension. - Du Tran; Manohar Paluri; Lorenzo Torresani (CoRR, 2016)

EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis. - Du Tran; Lorenzo Torresani (Int. J. Comput. Vis., 2016)

Representations and Models for Large-Scale Video Understanding. - Du Tran (2016)

Deciphering Severely Degraded License Plates. - Shruti Agarwal; Du Tran; Lorenzo Torresani; Hany Farid (Media Watermarking, Security, and Forensics, 2017)

Transformation-Based Models of Video Sequences. - Joost R. van Amersfoort; Anitha Kannan; Marc'Aurelio Ranzato; Arthur Szlam; Du Tran; Soumith Chintala (CoRR, 2017)

ConvNet Architecture Search for Spatiotemporal Feature Learning. - Du Tran; Jamie Ray; Zheng Shou 001; Shih-Fu Chang; Manohar Paluri (CoRR, 2017)

Detect-and-Track: Efficient Pose Estimation in Videos. - Rohit Girdhar; Georgia Gkioxari; Lorenzo Torresani; Manohar Paluri; Du Tran (CVPR, 2018)

A Closer Look at Spatiotemporal Convolutions for Action Recognition. - Du Tran; Heng Wang; Lorenzo Torresani; Jamie Ray; Yann LeCun; Manohar Paluri (CVPR, 2018)

Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset. - Jamie Ray; Heng Wang; Du Tran; Yufei Wang; Matt Feiszli; Lorenzo Torresani; Manohar Paluri (ECCV (14), 2018)

Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. - Bruno Korbar; Du Tran; Lorenzo Torresani (NeurIPS, 2018)

Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization. - Bruno Korbar; Du Tran; Lorenzo Torresani (CoRR, 2018)

Learning Discriminative Motion Features Through Detection. - Gedas Bertasius; Christoph Feichtenhofer; Du Tran; Jianbo Shi; Lorenzo Torresani (CoRR, 2018)

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition. - Deepti Ghadiyaram; Du Tran; Dhruv Mahajan 001 (CVPR, 2019)

Leveraging the Present to Anticipate the Future in Videos. - Antoine Miech; Ivan Laptev; Josef Sivic; Heng Wang; Lorenzo Torresani; Du Tran (CVPR Workshops, 2019)

DistInit: Learning Video Representations Without a Single Labeled Video. - Rohit Girdhar; Du Tran; Lorenzo Torresani; Deva Ramanan (ICCV, 2019)

SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition. - Bruno Korbar; Du Tran; Lorenzo Torresani (ICCV, 2019)

Video Classification With Channel-Separated Convolutional Networks. - Du Tran; Heng Wang; Matt Feiszli; Lorenzo Torresani (ICCV, 2019)

Learning Temporal Pose Estimation from Sparsely-Labeled Videos. - Gedas Bertasius; Christoph Feichtenhofer; Du Tran; Jianbo Shi; Lorenzo Torresani (NeurIPS, 2019)

Large-scale weakly-supervised pre-training for video action recognition. - Deepti Ghadiyaram; Matt Feiszli; Du Tran; Xueting Yan; Heng Wang; Dhruv Mahajan 001 (CoRR, 2019)

What Makes Training Multi-Modal Networks Hard? - Weiyao Wang 001; Du Tran; Matt Feiszli (CoRR, 2019)

UniDual: A Unified Model for Image and Video Understanding. - Yufei Wang; Du Tran; Lorenzo Torresani (CoRR, 2019)

FASTER Recurrent Networks for Video Classification. - Linchao Zhu; Laura Sevilla-Lara; Du Tran; Matt Feiszli; Yi Yang 001; Heng Wang (CoRR, 2019)

Self-Supervised Learning by Cross-Modal Audio-Video Clustering. - Humam Alwassel; Dhruv Mahajan 001; Lorenzo Torresani; Bernard Ghanem; Du Tran (CoRR, 2019)

FASTER Recurrent Networks for Efficient Video Classification. - Linchao Zhu; Du Tran; Laura Sevilla-Lara; Yi Yang 001; Matt Feiszli; Heng Wang (AAAI, 2020)

What Makes Training Multi-Modal Classification Networks Hard? - Weiyao Wang 001; Du Tran; Matt Feiszli (CVPR, 2020)

Video Modeling With Correlation Networks. - Heng Wang; Du Tran; Lorenzo Torresani; Matt Feiszli (CVPR, 2020)

Self-Supervised Learning by Cross-Modal Audio-Video Clustering. - Humam Alwassel; Dhruv Mahajan 001; Bruno Korbar; Lorenzo Torresani; Bernard Ghanem; Du Tran (NeurIPS, 2020)

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. - Weiyao Wang 001; Matt Feiszli; Heng Wang; Du Tran (ICCV, 2021)

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. - Weiyao Wang 001; Matt Feiszli; Heng Wang; Jitendra Malik; Du Tran (CVPR, 2022)

Long-Short Temporal Contrastive Learning of Video Transformers. - Jue Wang 001; Gedas Bertasius; Du Tran; Lorenzo Torresani (CVPR, 2022)

Relational Space-Time Query in Long-Form Videos. - Xitong Yang; Fu-Jen Chu; Matt Feiszli; Raghav Goyal; Lorenzo Torresani; Du Tran (CVPR, 2023)

FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. - Tarun Kalluri; Deepak Pathak; Manmohan Chandraker; Du Tran (WACV, 2023)

MINOTAUR: Multi-task Video Grounding From Multimodal Queries. - Raghav Goyal; Effrosyni Mavroudi; Xitong Yang; Sainbayar Sukhbaatar; Leonid Sigal; Matt Feiszli; Lorenzo Torresani; Du Tran (CoRR, 2023)

Learning Space-Time Semantic Correspondences. - Du Tran; Jitendra Malik (CoRR, 2023)

FLAVR: flow-free architecture for fast video frame interpolation. - Tarun Kalluri; Deepak Pathak; Manmohan Chandraker; Du Tran (Mach. Vis. Appl., 2023)

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision. - Tarun Kalluri; Weiyao Wang 001; Heng Wang; Manmohan Chandraker; Lorenzo Torresani; Du Tran (CVPR Workshops, 2024)

SEAL: Semantic Attention Learning for Long Video Representation. - Lan Wang; Yujia Chen 001; Du Tran; Vishnu Naresh Boddeti; Wen-Sheng Chu (CVPR, 2025)