Subarna Tripathi
Scholar

Subarna Tripathi

Google Scholar ID: HPfNU94AAAAJ
Intel Labs
Representation learningComputer visionVideo understandingMachine learning
Citations & Impact
All-time
Citations
2,669
 
H-index
22
 
i10-index
31
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Best Paper Award at WACV 2017.
  • Multiple papers accepted at top-tier conferences including CVPR (2022, 2023, 2024), ICCV (2021), ECCV (2022), NeurIPS (2022), WACV (2023, 2025), etc.
  • Project PartNet went online in 2018 and was published at CVPR 2019.
  • Co-organized CVPR 2020 workshop 'Diagram Image Retrieval and Analysis (DIRA)'.
  • Hosted a breakout session at WiML@ICML 2021 and served as mentor at WiCV@CVPR 2021.
  • Co-organizing CVAM workshop at ICCV 2025.
Background
  • Principal AI Research Scientist at Intel Labs, working in computer vision and machine learning.
  • Leads a research team focused on long-form video understanding & generation, multimodal and structured representation learning.
  • Co-chair of Intel's AI Strategic Research sector, overseeing global academic AI investments.
  • Intel Center Lead Liaison (CLL) for the JUMP2.0 center CoCoSys and member of the AI Hardware (AIHW) Technical Advisory Board.
  • Area Chair for WiML since 2017; reviewer for CVPR, ECCV, ICCV, NeurIPS, WACV, AAAI, ICLR, and IEEE journals.
Miscellany
  • Originally from Kalyani, West Bengal, India.
  • Balances roles as an AI researcher, mother, and classical musician.
  • Passionate about Hindustani classical music, knowledgeable in all 10 Thaats.
  • Has released Bengali melody covers and maintains a presence on SoundCloud.
  • Has performed at cultural events including Durga Puja celebrations and Diwali at UC San Diego.