Du Tran

According to our database, Du Tran authored at least 44 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

FLAVR: flow-free architecture for fast video frame interpolation.

Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran

Mach. Vis. Appl., September, 2023

Learning Space-Time Semantic Correspondences.

Du Tran, Jitendra Malik

CoRR, 2023

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision.

Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran

CoRR, 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

FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation.

Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Relational Space-Time Query in Long-Form Videos.

Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Long-Short Temporal Contrastive Learning of Video Transformers.

Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity.

Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation.

Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Video Modeling With Correlation Networks.

Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

What Makes Training Multi-Modal Classification Networks Hard?

Weiyao Wang, Du Tran, Matt Feiszli

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

FASTER Recurrent Networks for Efficient Video Classification.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

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

CoRR, 2019

FASTER Recurrent Networks for Video Classification.

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

CoRR, 2019

UniDual: A Unified Model for Image and Video Understanding.

Yufei Wang, Du Tran, Lorenzo Torresani

CoRR, 2019

What Makes Training Multi-Modal Networks Hard?

Weiyao Wang, Du Tran, Matt Feiszli

CoRR, 2019

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

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

CoRR, 2019

Learning Temporal Pose Estimation from Sparsely-Labeled Videos.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Video Classification With Channel-Separated Convolutional Networks.

Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition.

Bruno Korbar, Du Tran, Lorenzo Torresani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DistInit: Learning Video Representations Without a Single Labeled Video.

Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Leveraging the Present to Anticipate the Future in Videos.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

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

Deepti Ghadiyaram, Du Tran, Dhruv Mahajan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Discriminative Motion Features Through Detection.

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

CoRR, 2018

Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization.

Bruno Korbar, Du Tran, Lorenzo Torresani

CoRR, 2018

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

Bruno Korbar, Du Tran, Lorenzo Torresani

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Proceedings of the Computer Vision - ECCV 2018, 2018

A Closer Look at Spatiotemporal Convolutions for Action Recognition.

Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Detect-and-Track: Efficient Pose Estimation in Videos.

Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

ConvNet Architecture Search for Spatiotemporal Feature Learning.

Du Tran, Jamie Ray, Zheng Shou, Shih-Fu Chang, Manohar Paluri

CoRR, 2017

Transformation-Based Models of Video Sequences.

Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala

CoRR, 2017

Deciphering Severely Degraded License Plates.

Shruti Agarwal, Du Tran, Lorenzo Torresani, Hany Farid

Proceedings of the Media Watermarking, Security, and Forensics 2017, Burlingame, CA, USA, 29 January 2017, 2017

2016

Representations and Models for Large-Scale Video Understanding.

Du Tran

PhD thesis, 2016

EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis.

Du Tran, Lorenzo Torresani

Int. J. Comput. Vis., 2016

ViCom: Benchmark and Methods for Video Comprehension.

Du Tran, Manohar Paluri, Lorenzo Torresani

CoRR, 2016

Deep End2End Voxel2Voxel Prediction.

Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Learning Spatiotemporal Features with 3D Convolutional Networks.

Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Video Event Detection: From Subvolume Localization to Spatiotemporal Path Search.

Du Tran, Junsong Yuan, David A. Forsyth

IEEE Trans. Pattern Anal. Mach. Intell., 2014

EXMOVES: Classifier-based Features for Scalable Action Recognition.

Du Tran, Lorenzo Torresani

Proceedings of the 2nd International Conference on Learning Representations, 2014

C3D: Generic Features for Video Analysis.

Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

CoRR, 2014

2012

Max-Margin Structured Output Regression for Spatio-Temporal Action Localization.

Du Tran, Junsong Yuan

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Optimal spatio-temporal path discovery for video event detection.

Du Tran, Junsong Yuan

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2008

Human Activity Recognition with Metric Learning.

Du Tran, Alexander Sorokin

Proceedings of the Computer Vision, 2008