Du Tran

Du Tran 

Dũ Trần
Research Scientist
Facebook
1 Facebook Way, Menlo Park, CA 94025
Email: x@y where x=trandu and y=fb.com (official) OR gmail.com (personal)
G-Scholar, Github, DBLP

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

Bio

I am a research scientist at Facebook Applied Machine Learning. My research interests are computer vision, machine learning, and computer graphics, with specific interests in human activity and video event analysis.

Internship opportunities: I am looking for Ph.D. research interns working with us on video understanding problems next summer 2018. To apply, simply send me your resume and briefly tell your research interests.

Updates

Preprints

R(2+1)D 
  • Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri, A Closer Look at Spatiotemporal Convolutions for Action Recognition
    Arxiv 2017, code (coming soon), PDF.

Res3D 
  • Du Tran, Jamie Ray, Zheng Shou, Shih-Fu Chang, and Manohar Paluri, ConvNet Architecture Search for Spatiotemporal Feature Learning
    Arxiv 2017, code, PDF.

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

Publications

thesis 
  • Du Tran, Representations and Models for Large-Scale Video Understanding
    Ph.D. Dissertation, August 2016, PDF
    Thesis Committee: L. Torresani, C. Bailey-Kellogg, Q. Liu, and A. Torralba.

V2V 
  • 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.

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

C3D 
  • 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.

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

MAXPATH 
  • 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.

LOCALIZATION 
  • 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.

PATHSEARCH 
  • 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.

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

Recent Talks

Services

Links