Ranjay Krishna
Assistant Professor
Works at the intersection of computer vision and human-computer interaction, including multimodal models and visual reasoning.
Ranjay Krishna's lab at UW works on vision-language & multimodal, multimodal & grounded language and reasoning & agents. 54 papers since 2023, 49 at top venues, mostly NeurIPS and CVPR. 21 PhD students. 34 alumni, most often to Apple and Anthropic. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 91%
- PhD students
- 21
- MS students
- 0
- alumni listed
- 34
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 7
- 18 papers2024 · T1 15
- 29 papers2023 · T1 27
T1 venuesOtherVenues: NeurIPS, CVPR, ICLR, ECCV, ICCV
Research focuspaper titles that use each topic's words
- Vision-language & multimodal18 papers
- Multimodal & grounded language18 papers
- Reasoning & agents4 papers
- visual reasoning1 paper
- multimodal models1 paper
Paper list
From the lab homepage.
20257 papers
- ICLR (T1)AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation (opens in a new tab)
- CVPR (T1)Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model (opens in a new tab)
- CVPR (T1)Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation (opens in a new tab)
- CVPR (T1)Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models (opens in a new tab)
- CVPR (T1)Perception Tokens Enhance Visual Reasoning in Multimodal Language Models (opens in a new tab)
- CVPR (T1)Synthetic Visual Genome
- NeurIPS (T1)Task Me Anything (opens in a new tab)
202418 papers
- NeurIPS Datasets and BenchmarksActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition (opens in a new tab)
- UIST (T1)EVE: Enabling Anyone to Train Robots using Augmented Reality (opens in a new tab)
- Findings of ACLFound in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization (opens in a new tab)
- NeurIPS (T1)From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos (opens in a new tab)
- CVPR (T1)Iterated Learning Improves Compositionality in Large Vision-Language Models (opens in a new tab)
- ECCV (T1)m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks (opens in a new tab)
- CoRL (T1)Manipulate-Anything: Automating Real-World Robots using Vision-Language Models (opens in a new tab)
- NeurIPS (T1)MatFormer: Nested Transformer for Elastic Inference (opens in a new tab)
- NeurIPS (T1)Multilingual Diversity Improves Vision-Language Representations (opens in a new tab)
- ICML (T1)Offline Training of Language Model Agents with Functions as Learnable Weights (opens in a new tab)
- ICML (T1)SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation (opens in a new tab)
- ICLR (T1)Selective Visual Representations Improve Convergence and Generalization for Embodied-AI (opens in a new tab)
202329 papers
- NeurIPS (T1)AdANNS: A Framework for Adaptive Semantic Search (opens in a new tab)
- ICCV (T1)Agile Modeling: From Concept to Classifier in Minutes (opens in a new tab)
- CoRL (T1)AR2-D2:Training a Robot Without a Robot (opens in a new tab)
- NeurIPS (T1)Cola: How to adapt vision-language models to Compose Objects Localized with Attributes? (opens in a new tab)
- CVPR (T1)CREPE: Can Vision-Language Foundation Models Reason Compositionally? (opens in a new tab)
- NeurIPS (T1)DataComp: In search of the next generation of multimodal datasets (opens in a new tab)
- Findings of ACLDistilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes (opens in a new tab)
- ICLR (T1)Editing Models with Task Arithmetic (opens in a new tab)
- VLDB (T1)EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions (opens in a new tab)
- CSCW (T1)Explanations can Reduce Overreliance on AI Systems during Decision-Making (opens in a new tab)
- ICLR (T1)Impossibly Good Experts and How to Follow Them (opens in a new tab)
- NeurIPS (T1)Improving Multimodal Datasets with Image Captioning (opens in a new tab)
Where alumni went34 listed, 65% to industry
Industry 20Academia 11
Most often to
- Apple
- Anthropic
- Meta
Also to
- Harvard University
- Cornell University
- KAIST
Apply to UWFall 2027
UW Allen School Computer Science PhD
- Round
- Single round
- Opens
- GRE
- not required
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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