Du Tran

Du Tran 

Dũ Trần
Research Scientist
1 Facebook Way, Menlo Park, CA 94025
Email: trandu -at- fb.com
G-Scholar, Github, DBLP, S-Scholar

‘‘The pinnacle of TECHNOLOGY is INNOVATION, that of SCIENCE is DISCOVERY, and more importantly that of EDUCATION is HUMANITY.’’ Du Tran, June 2011.


I am a research scientist at Facebook Applied Machine Learning. I graduated with a Ph.D. degree in computer science from Dartmouth Computer Science where I worked with professor Lorenzo Torresani. I received an M.S. degree in computer science from University of Illinois at Urbana-Champaign where I was advised by professor David Forsyth. Before coming to Dartmouth, I was a research staff at Nanyang Technological University working with professor Junsong Yuan. My research interests are computer vision, machine learning, and computer graphics, with specific interests in human activity and video event analysis. I am a recipient of a Vietnam Education Foundation Fellowship in 2006 and a Dartmouth Presidential Fellowship in 2012.



  • Du Tran, Maksim Bolonkin, Manohar Paluri, and Lorenzo Torresani, VideoMCC: a New Benchmark for Video Comprehension
    Arxiv 2016, Project, PDF.

Selected Publications

  • Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri, Deep End2End Voxel2Voxel Prediction
    The 3rd Workshop on Deep Learning in Computer Vision 2016, PDF.

  • Du Tran and Lorenzo Torresani, EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis
    International Journal on Computer Vision (IJCV) 2016, PDF.

  • Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri, Learning Spatiotemporal Features with 3D Convolutional Networks
    IEEE International Conference on Computer Vision (ICCV) 2015, Santiago, Chile, Project (code available), PDF.

  • Du Tran and Lorenzo Torresani, EXMOVES: Classifier-based Features for Scalable Action Recognition
    International Conference on Learning Representations (ICLR) 2014, Banff, Canada Project, PDF.

  • Du Tran, Junsong Yuan, and David Forsyth, Video Event Detection: from Subvolume Localization to Spatio-Temporal Path Search
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014, PDF.

  • Du Tran and Junsong Yuan, Max-Margin Structured Output Regression for Spatio-Temporal Action Localization
    Neural Information Processing Systems (NIPS) 2012, Lake Tahoe, NV, USA Project, PDF.

  • Du Tran and Junsong Yuan, Optimal Spatio-Temporal Path Discovery for Video Event Detection
    IEEE Computer Vision and Pattern Recognition (CVPR) 2011, Colorado Springs, CO, USA, Project, PDF.

  • Du Tran and Alexander Sorokin, Human Activity Recognition with Metric Learning
    European Conference on Computer Vision (ECCV) 2008, Marseille, France, Code, PDF.

Selected Awards

Recent Talks