Ranjay Krishna

Ranjay Krishna

Stanford University

H-index: 29

North America-United States

About Ranjay Krishna

Ranjay Krishna, With an exceptional h-index of 29 and a recent h-index of 29 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Computer Vision, Human Computer Interaction, Machine Learning, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Iterated Learning Improves Compositionality in Large Vision-Language Models

Training Language Model Agents without Modifying Language Models

Quilt-1m: One million image-text pairs for histopathology

Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion

Datacomp: In search of the next generation of multimodal datasets

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks

Ranjay Krishna Information

University

Position

PhD Candidate at

Citations(all)

13153

Citations(since 2020)

11925

Cited By

4316

hIndex(all)

29

hIndex(since 2020)

29

i10Index(all)

38

i10Index(since 2020)

38

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Ranjay Krishna Skills & Research Interests

Computer Vision

Human Computer Interaction

Machine Learning

Natural Language Processing

Top articles of Ranjay Krishna

Title

Journal

Author(s)

Publication Date

Holodeck: Language Guided Generation of 3D Embodied AI Environments

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)

Yue Yang

Fan-Yun Sun

Luca Weihs

Eli VanderBilt

Alvaro Herrasti

...

2024/2/20

Iterated Learning Improves Compositionality in Large Vision-Language Models

arXiv preprint arXiv:2404.02145

Chenhao Zheng

Jieyu Zhang

Aniruddha Kembhavi

Ranjay Krishna

2024/4/2

Training Language Model Agents without Modifying Language Models

arXiv preprint arXiv:2402.11359

Shaokun Zhang

Jieyu Zhang

Jiale Liu

Linxin Song

Chi Wang

...

2024/2/17

Quilt-1m: One million image-text pairs for histopathology

Advances in Neural Information Processing Systems

Wisdom Ikezogwo

Saygin Seyfioglu

Fatemeh Ghezloo

Dylan Geva

Fatwir Sheikh Mohammed

...

2024/2/13

Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion

arXiv preprint arXiv:2403.14617

Xiang Fan

Anand Bhattad

Ranjay Krishna

2024/3/21

Datacomp: In search of the next generation of multimodal datasets

Advances in Neural Information Processing Systems

Samir Yitzhak Gadre

Gabriel Ilharco

Alex Fang

Jonathan Hayase

Georgios Smyrnis

...

2024/2/13

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

arXiv preprint arXiv:2402.08191

Wilbert Pumacay

Ishika Singh

Jiafei Duan

Ranjay Krishna

Jesse Thomason

...

2024/2/13

m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks

Zixian Ma

Weikai Huang

Jieyu Zhang

Tanmay Gupta

Ranjay Krishna

2024/3/17

SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision

arXiv preprint arXiv:2404.15721

Ankit Vani

Bac Nguyen

Samuel Lavoie

Ranjay Krishna

Aaron Courville

2024/4/24

cola: A Benchmark for Compositional Text-to-image Retrieval

Advances in Neural Information Processing Systems

Arijit Ray

Filip Radenovic

Abhimanyu Dubey

Bryan Plummer

Ranjay Krishna

...

2024/2/13

Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use

arXiv preprint arXiv:2403.02626

Imad Eddine Toubal

Aditya Avinash

Neil Gordon Alldrin

Jan Dlabal

Wenlei Zhou

...

2024/3/5

BLINK: Multimodal Large Language Models Can See but Not Perceive

arXiv preprint arXiv:2404.12390

Xingyu Fu

Yushi Hu

Bangzheng Li

Yu Feng

Haoyu Wang

...

2024/4/18

Scaling Up LLM Reviews for Google Ads Content Moderation

Wei Qiao

Tushar Dogra

Otilia Stretcu

Yu-Han Lyu

Tiantian Fang

...

2024/3/4

Large language model as attributed training data generator: A tale of diversity and bias

Advances in Neural Information Processing Systems

Yue Yu*

Yuchen Zhuang*

Jieyu Zhang*

Yu Meng

Alexander Ratner

...

2023/6/28

EVE: Enabling Anyone to Train Robot using Augmented Reality

arXiv preprint arXiv:2404.06089

Jun Wang

Chun-Cheng Chang

Jiafei Duan

Dieter Fox

Ranjay Krishna

2024/4/9

Sugarcrepe: Fixing hackable benchmarks for vision-language compositionality

arXiv preprint arXiv:2306.14610

Cheng-Yu Hsieh*

Jieyu Zhang*

Zixian Ma

Aniruddha Kembhavi

Ranjay Krishna

2023/6/26

LEETPROMPT: Leveraging Collective Human Intelligence to Study Large Language Models

Sebastin Santy

Ayana Bharadwaj

Sahith Dambekodi

Alex Albert

Cathy Yuan

...

2023

Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis

IEEE Transactions on NanoBioscience

Jin-Woo Kim

Jangho Kim

Deok-Ho Kim

2016/12

Vocalexplore: Pay-as-you-go video data exploration and model building

Proceedings of the VLDB Endowment

Maureen Daum

Enhao Zhang

Dong He

Stephen Mussmann

Brandon Haynes

...

2023/9/1

Improving interpersonal communication by simulating audiences with language models

arXiv preprint arXiv:2311.00687

Ryan Liu

Howard Yen

Raja Marjieh

Thomas L Griffiths

Ranjay Krishna

2023/11/1

See List of Professors in Ranjay Krishna University(Stanford University)

Co-Authors

H-index: 158
Christopher D Manning

Christopher D Manning

Stanford University

H-index: 144
Li Fei-Fei

Li Fei-Fei

Stanford University

H-index: 81
Maneesh Agrawala

Maneesh Agrawala

Stanford University

H-index: 64
Michael S. Bernstein

Michael S. Bernstein

Stanford University

H-index: 56
Juan Carlos Niebles

Juan Carlos Niebles

Stanford University

H-index: 45
Li-Jia Li

Li-Jia Li

Stanford University

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