Du Tran
Du Tran is a computer vision researcher whose work builds AI methods for understanding video. He completed a BSc in information technology at Ho Chi Minh City University of Science, an MSc in computer science at the University of Illinois at Urbana-Champaign, and a PhD in computer science at Dartmouth in 2016; he joined Facebook in 2016. His papers introduced C3D and R(2+1)D, and later work covered efficient video classification, multimodal training, open-world segmentation, and long-video representation. He was a Research Scientist at Google in 2024; as of October 2026, he is a Staff Research Scientist and Tech Lead there.
Timeline
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2014
C3D for video features
In 2014, he coauthors a paper that introduces C3D, a 3D convolutional network for learning spatiotemporal video features. Its learned features outperform state-of-the-art methods on four benchmarks.
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2016
Dartmouth PhD and Facebook
He completes a computer science PhD at Dartmouth and joins Facebook in 2016. His other degrees are an MSc in computer science from the University of Illinois at Urbana-Champaign and a BSc in information technology from Ho Chi Minh City University of Science.
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2018
R(2+1)D for action recognition
At CVPR in 2018, he coauthors A Closer Look at Spatiotemporal Convolutions for Action Recognition and introduces the R(2+1)D block, which factorizes 3D filters into spatial and temporal operations.
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2019
Channel-separated nets and Gradient Blending
In 2019, he coauthors Channel-Separated Convolutional Networks, which reduces computation in video classification by separating channel and spatiotemporal interactions. Also in 2019, he coauthors a multimodal training study that introduces Gradient Blending to balance modalities with different overfitting rates.
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2021
UVO open-world benchmark
In 2021, he coauthors UVO, a benchmark for open-world, class-agnostic object segmentation in videos.
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2024
Research scientist at Google
In 2024, he is a Research Scientist at Google, working on computer vision and machine learning.
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2025
SEAL for long videos
In 2025, he coauthors SEAL, a long-video representation that decomposes videos into scene, object, and action tokens and balances token relevance with diversity.
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As of October 2026
Staff research scientist at Google
As of October 2026, he is a Staff Research Scientist and Tech Lead at Google. His earlier roles include Research Lead and Manager at Samsung Research America, Staff Research Scientist at Meta AI, and Researcher at NTU.
Career
- Since 2024GoogleResearch Scientist
- 2016–2024MetaStaff Research Scientist
- 2011–2013Nanyang Technological UniversityResearcher
- Samsung Research AmericaResearch Lead and Manager
Education
- 2016Dartmouth CollegePhD
- Ho Chi Minh City University of ScienceBSc
- University of Illinois Urbana-ChampaignMSc
Sources and credits
Photo: We have no published photo of Du Tran yet. Send us a free-licensed photo.
- [1412.0767] Learning Spatiotemporal Features with 3D Convolutional Networks
- Cancer Surgeon and Computer Scientist Win Fulbrights | Dartmouth
- Du Tran | Home
- CVPR 2018 Open Access Repository
- [1904.02811] Video Classification with Channel-Separated Convolutional Networks
- [1905.12681] What Makes Training Multi-Modal Classification Networks Hard?
- ICCV 2021 Open Access Repository
- LAMM Workshop
- CVPR 2025 Open Access Repository


