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Du Tran

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28 papers hereh-index 2918.8k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author14
  • last author6

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CV26
  • cs.LG1
  • cs.MM1
affiliations
  • Facebook
Homepage
same name
  • Du Tran — 3 papers, h 1
  • Du Tran — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132025
most citedConvNet Architecture Search for Spatiotemporal Feature Learning

348 citations · 1.6k across the 25 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 28 cited

Detect-and-Track: Efficient Pose Estimation in Videos

Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani +2

This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video. We propose an extremely lightweight yet highly effective approach t…

cs.CV2017★ 214 cited

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Du Tran, Heng Wang, Lorenzo Torresani +3

In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition. Our motivation stems from the observation th…

cs.CV2017★ 348 cited

ConvNet Architecture Search for Spatiotemporal Feature Learning

Du Tran, Jamie Ray, Zheng Shou +2

Learning image representations with ConvNets by pre-training on ImageNet has proven useful across many visual understanding tasks including object detection, semantic segmentation,…

cs.LG2017★ 61 cited

Transformation-Based Models of Video Sequences

Joost van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato +3

In this work we propose a simple unsupervised approach for next frame prediction in video. Instead of directly predicting the pixels in a frame given past frames, we predict the tr…

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