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Ranjay Krishna

18 papers hereh-index 10896 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author12
  • last author6

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.CL4
  • cs.AI2
  • cs.DB1
same name
  • Ranjay Krishna — 53 papers, h 22
  • Ranjay Krishna — 47 papers, h 19
  • Ranjay Krishna — 42 papers, h 37
  • Ranjay Krishna — 18 papers, h 8
  • Ranjay Krishna — 1 paper
  • Ranjay Krishna — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMolmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

8 citations · 12 across the 18 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

4 papers · 2 filters

cs.CV2025

ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning

Jiawei Gu, Yunzhuo Hao, Huichen Will Wang +5

Multimodal reasoning requires iterative coordination between language and vision, yet it remains unclear what constitutes a meaningful interleaved chain of thought. We posit that t…

cs.CV2025

Synthetic Visual Genome

Jae Sung Park, Zixian Ma, Linjie Li +9

Reasoning over visual relationships-spatial, functional, interactional, social, etc.-is considered to be a fundamental component of human cognition. Yet, despite the major advances…

cs.CV2025

FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations

Cheng-Yu Hsieh, Pavan Kumar Anasosalu Vasu, Fartash Faghri +5

Visual understanding is inherently contextual -- what we focus on in an image depends on the task at hand. For instance, given an image of a person holding a bouquet of flowers, we…

cs.CV2025

REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations

Peter Sushko, Ayana Bharadwaj, Zhi Yang Lim +6

Existing image editing models struggle to meet real-world demands. Despite excelling in academic benchmarks, they have yet to be widely adopted for real user needs. Datasets that p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.