Subarna Tripathi

Subarna Tripathi

Computer Vision Researcher

About Subarna

I am a researcher at Intel AI Lab since May 2018, working in computer vision and machine learning with focus in scene graphs, generative models, graph embeddings, scene parsing. I received my PhD in Electrical and Computer Engineering from University of California San Diego. My PhD advisors were Professor Truong Nguyen and Professor Serge Belongie. I am an alumna of both Video processing group at UC San Diego and SE(3) computer vision group at Cornell Tech. My research interests include computer vison and video processing. I worked in STMicroelectronics in its Advanced System Technology (AST) group for over 6 years on computer vision and video processing domains. Prior to that I worked in Interra Systems on video analyzer.

I received my MS Research from Indian Institute of Technology, Delhi and a Bachelor of Technology (Computer Science and Engineering) from Kalyani Govt. Enginnering College. I am from Kalyani, a beautiful town in West Bengal, India.

When I get a chance or time, I listen to music and sing.

Contact

Intel Corporation, San Diego
California


Resume


What I enjoy the most

News

  • [October 2019] Co-organizing CVPR 2020 workshop "Diagram Image Retrieval and Analysis (DIRA): Representation, Learning, and Similarity Metrics"
  • [September 2019] Triplet-Aware Scene Graph Embeddings published in SGRL workshop at ICCV
  • [September 2019] Reviewer of CVPR 2020
  • [August 2019] PC member of AAAI 2020
  • [July 2019] PC member of Scene Graph Representation and Learning workshop at ICCV 2019
  • [July 2019] Area Chair of WiML workshop at Neural Information Processing Systems 2019
  • [April 2019] HEURISTICS FOR IMAGE GENERATION FROM SCENEGRAPHS, ICLR workshop (LLD) 2019, OpenReview
  • [April 2019] Compact Scene Graphs for Layout Composition and Patch Retrieval at CVPRW (CEFRL) 2019, arXiv
  • [February 2019] Reviewer of ICCV 2019
  • [January 2019] Using Scene Graph Context to Improve Image Generation available on arXiv
  • [November 2018] Project PartNet online. CVPR 2019
  • [May 2018] Joined Intel AI
  • [March 2018] PhD defense
  • [September 2017] Area Chair of WiML workshop at Neural Information Processing Systems 2017
  • [March 2017] Best Paper Award at WACV 2017
  • [September 2016] Internship at Qualcomm Multimedia RnD, San Diego
  • [June 2016] Internship at Google Research, Seattle
  • [June 2015] Internship at Microsoft Research, Seattle