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I teach machines to see like people and interact with people. As modern machines struggle to fully conceptualize the visual world, my research bootstraps machine learning using frameworks from behavioral and social sciences.
Bio: Ranjay Krishna is an Assistant Professor at the Allen School of Computer Science & Engineering. He co-directs the RAIVN lab at UW and directs the PRIOR team at the Allen Institute. His research lies at the intersection of computer vision, natural language processing, robotics, and human computer interaction. This research has received best paper honorable mentions at CVPR'25 and CSCW'23, outstanding paper at NeurIPS'21 and ACL'21, and dozens of orals at CVPR, ACL, CSCW, NeurIPS, UIST, and ECCV, and has been reported by Science, Forbes, the Wall Street Journal, and PBS NOVA. He is also recognized as one of MIT Technology Review's 35 under 35 Asia Pacific '25. His research has been supported by Google, Apple, Ai2, Amazon, Cisco, Toyota Motor Inc, Toyota Research Institute, NSF, ONR, and Yahoo. He holds a bachelor's degree in Electrical & Computer Engineering and in Computer Science from Cornell University, a master's degree in Computer Science from Stanford University and a Ph.D. in Computer Science from Stanford University. RECENT PAPER HIGHLIGHTS
[Oct 2025] Our Latte paper received Oral award at EMNLP 2025, awarded to top 1.5% of submissions. [Oct 2025] Our TrajVIT paper received Highlight award at ICCV 2025, awarded to top 5% of submissions. [Jun 2025] Our Molmo paper received Best Paper Honorable Mention at CVPR 2025. [Jun 2025] Our Molmo paper will appear as a Oral at CVPR 2025, awarded to top 0.7% of submissions. [Apr 2025] Our interleaved scene graph paper will appear as a Spotlight at ICLR 2025, awarded to top 5% of submissions [Dec 2024] Our Multilingual diversity for LLMs paper will appear as an Spotlist at NeurIPS 2024, awarded to top 5% of submissions. [June 2024] Our Visual Program Distillation paper will appear as an Oral at CVPR 2024, awarded to top 5% of submissions. [May 2024] Our Selective Visual Representations paper will appear as a Spotlight at ICLR 2024, awarded to top 5% of submissions. UPCOMING TALKS @ CONFERENCES [Jun 2026] Keynote talk at CVPR 2026 workshop on Agentic AI for Visual Media [Jun 2026] Keynote talk at CVPR 2026 workshop on Visual Concepts [Jun 2026] Keynote talk at CVPR 2026 workshop on Multimodal Alignment for a Pluralistic Society [Jun 2026] Keynote at CVPR 2026 workshop on Embodied reasoning [Jun 2026] Keynote at CVPR 2026 workshop on Multimodal Spatial Intelligence [Jun 2026] Keynote at CVPR 2026 workshop on Multi-Modal Reasoning for AI Agents [Jun 2026] Keynote at CVPR 2026 workshop on Data for Multimodal Foundation Models [April 2026] Keynote talk at WWW 2026 workshop on Agents for Recommendations & Online Marketplaces ACademic Publications
2025
2024
2023
2022
EARLIER PUBLICATIONS
Non-Archival PAPERS
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Assistant Professor
Computer Science & Engineering University of Washington Co-director of RAIVN Lab Director of PRIOR team Allen Institute for Artificial Intelligence Ph.D. @ Stanford University, 2021
Co-advised by Fei-Fei Li and Michael Bernstein. Curriculum Vitae [2026] Google scholar Research statement [2021] Teaching statement [2021] Diversity statement [2021] CONTACT
ranjay [at] cs [dot] washington [dot] edu Bill & Melinda Gates Center Room 304 3800 E Stevens Way NE, Seattle, WA 98195 TEACHING
University of Washington: CSE 599H: AI vs IA [2023] CSE 493G1: Deep learning [2025] [2024] [2023] CSE 455: Computer Vision [2025] [2024] Stanford University: CS231N: Convolutional Neural Networks for Visual Recognition [2021] [2020] CS131 Computer Vision: Foundations and Applications [2019] [2018] [2017] [crowdsourced class notes] RESEARCH GROUPPostDocs
Zhongzheng (Jason) Ren
(2025-) 
Jaemin Cho
(2025-) PhD students
Jieyu Zhang
(2020-) 
Benlin Liu
(2021-) 
Xiang Fan
(2023-) 
Linjie Li with Yejin Choi
(2023-) 
Chenhao Zheng
(2024-) 
Arjun Guru
(2025-) Long term collaborating PhD students
Arijit Ray with Kate Saenko
Former PostDocs
Wei-Chiu Ma (2023-2024)
Assistant Professor @ Cornell Former PhD students
M. Saygin Seyfioglu (2020-2025)
Applied Scientist @ Amazon 
Jae Sung Park (2020-2026)
Research Scientist @ Allen Institute Selected TalksVenue: CVPR 2024 - Computer Vision and Pattern Recognition
Panel: CVPR: past, present, and future Venue: CVPR 2020 - Computer Vision and Pattern Recognition
Title: Compositionally in Computer Vision [slides][video][workshop] Venue: CVPR 2020 - Computer Vision and Pattern Recognition
Title: Dense Captioning Events in Videos [slides][video][workshop] Venue: ECCV 2016 - European Conference on Computer Vision
Title: Visual Relationship Detection with Language Priors [pdf][project][slides][poster][video] Venue: CHI 2016 - Conference on Human Factors in Computer Systems
Title: Embracing Error to Enable Rapid Crowdsourcing [pdf][slides] MISCELLANEOUS
Trailer for a documentary
Venue: PBS NOVA Title: Can we build a brain? Year: 2018 Complete documentary
Venue: PBS NOVA Title: Can we build a brain? Year: 2018 |
