Ranjay Krishna

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 117

Top Venues

Publications

Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna
m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. CoRR (2024)
Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna
BLINK: Multimodal Large Language Models Can See but Not Perceive. CoRR (2024)
Jun Wang, Chun-Cheng Chang, Jiafei Duan, Dieter Fox, Ranjay Krishna
EVE: Enabling Anyone to Train Robot using Augmented Reality. CoRR (2024)
Xiang Fan, Anand Bhattad, Ranjay Krishna
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion. CoRR (2024)
Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models. CoRR (2024)
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps. CoRR (2024)
Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Task Me Anything. CoRR (2024)
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Selective Visual Representations Improve Convergence and Generalization for Embodied AI. ICLR (2024)
Imad Eddine Toubal, Aditya Avinash, Neil Gordon Alldrin, Jan Dlabal, Wenlei Zhou, Enming Luo, Otilia Stretcu, Hao Xiong, Chun-Ta Lu, Howard Zhou, Ranjay Krishna, Ariel Fuxman, Tom Duerig
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use. CoRR (2024)
Yu-Guan Hsieh, Cheng-Yu Hsieh, Shih-Ying Yeh, Louis Béthune, Hadipour Ansari, Pavan Kumar Anasosalu Vasu, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Marco Cuturi
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions. CoRR (2024)
Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. CoRR (2024)
Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. CoRR (2024)
Jaemin Cho, Yushi Hu, Jason M. Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, Su Wang
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation. ICLR (2024)
Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
Efficient Inference of Vision Instruction-Following Models with Elastic Cache. CoRR (2024)
Wilbert Pumacay, Ishika Singh, Jiafei Duan, Ranjay Krishna, Jesse Thomason, Dieter Fox
THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation. CoRR (2024)
Jiafei Duan, Wentao Yuan, Wilbert Pumacay, Yi Ru Wang, Kiana Ehsani, Dieter Fox, Ranjay Krishna
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models. CoRR (2024)
Wentao Yuan, Jiafei Duan, Valts Blukis, Wilbert Pumacay, Ranjay Krishna, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics. CoRR (2024)
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization. CoRR (2024)
Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek
Scaling Up LLM Reviews for Google Ads Content Moderation. CoRR (2024)
Ankit Vani, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron C. Courville
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. CoRR (2024)
Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna
Iterated Learning Improves Compositionality in Large Vision-Language Models. CoRR (2024)
Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut
ImageInWords: Unlocking Hyper-Detailed Image Descriptions. CoRR (2024)
Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek
Scaling Up LLM Reviews for Google Ads Content Moderation. WSDM (2024)
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. ACL (Findings) (2024)
Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
Training Language Model Agents without Modifying Language Models. CoRR (2024)
Thao Nguyen, Matthew Wallingford, Sebastin Santy, Wei-Chiu Ma, Sewoong Oh, Ludwig Schmidt, Pang Wei Koh, Ranjay Krishna
Multilingual Diversity Improves Vision-Language Representations. CoRR (2024)
Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? CoRR (2023)
Enhao Zhang, Maureen Daum, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]. CoRR (2023)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. ACL (Findings) (2023)
Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. CoRR (2023)
Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. CoRR (2023)
Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS (2023)
Kiana Ehsani, Tanmay Gupta, Rose Hendrix, Jordi Salvador, Luca Weihs, Kuo-Hao Zeng, Kunal Pratap Singh, Yejin Kim, Winson Han, Alvaro Herrasti, Ranjay Krishna, Dustin Schwenk, Eli VanderBilt, Aniruddha Kembhavi
Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. CoRR (2023)
Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building. Proc. VLDB Endow. 16 (13) (2023)
Jieyu Zhang, Ranjay Krishna, Ahmed H. Awadallah, Chi Wang
EcoAssistant: Using LLM Assistant More Affordably and Accurately. CoRR (2023)
Enhao Zhang, Maureen Daum, Dong He, Manasi Ganti, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions. Proc. VLDB Endow. 16 (12) (2023)
Mehmet Saygin Seyfioglu, Wisdom Oluchi Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, Linda G. Shapiro
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos. CoRR (2023)
Andre Ye, Sebastin Santy, Jena D. Hwang, Amy X. Zhang, Ranjay Krishna
Cultural and Linguistic Diversity Improves Visual Representations. CoRR (2023)
Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. CoRR (2023)
Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman
Agile Modeling: From Concept to Classifier in Minutes. ICCV (2023)
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. ICCV (2023)
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. CoRR (2023)
Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna
AR2-D2: Training a Robot Without a Robot. CoRR (2023)
Zixian Ma, Jerry Hong, Mustafa Omer Gul, Mona Gandhi, Irena Gao, Ranjay Krishna
@ CREPE: Can Vision-Language Foundation Models Reason Compositionally? CVPR (2023)
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
OBJECT 3DIT: Language-guided 3D-aware Image Editing. CoRR (2023)
Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Aniruddha Kembhavi, Linda G. Shapiro, Ranjay Krishna
MIMIC: Masked Image Modeling with Image Correspondences. CoRR (2023)
Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building. CoRR (2023)
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
OBJECT 3DIT: Language-guided 3D-aware Image Editing. NeurIPS (2023)
Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna
Improving Interpersonal Communication by Simulating Audiences with Language Models. CoRR (2023)
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. NeurIPS (2023)
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. CoRR (2023)
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. NeurIPS (2023)
Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, Su Wang
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation. CoRR (2023)
Enhao Zhang, Maureen Daum, Dong He, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions. Proc. VLDB Endow. 16 (11) (2023)
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. CoRR (2023)
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. NeurIPS (2023)
Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna
Explanations Can Reduce Overreliance on AI Systems During Decision-Making. Proc. ACM Hum. Comput. Interact. 7 (CSCW1) (2023)
Yushi Hu, Otilia Stretcu, Chun-Ta Lu, Krishnamurthy Viswanathan, Kenji Hata, Enming Luo, Ranjay Krishna, Ariel Fuxman
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models. CoRR (2023)
Song Bai, Philip H. S. Torr, Ranjay Krishna, Li Fei-Fei, Abhinav Gupta, Song-Chun Zhu
Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CoRR (2023)
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Selective Visual Representations Improve Convergence and Generalization for Embodied AI. CoRR (2023)
Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda G. Shapiro
Quilt-1M: One Million Image-Text Pairs for Histopathology. CoRR (2023)
Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko
Lasagna: Layered Score Distillation for Disentangled Object Relighting. CoRR (2023)
Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda G. Shapiro
Quilt-1M: One Million Image-Text Pairs for Histopathology. NeurIPS (2023)
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. CoRR (2023)
Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna
AR2-D2: Training a Robot Without a Robot. CoRL (2023)
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. CoRR (2023)
Zixian Ma, Rose Wang, Fei-Fei Li, Michael S. Bernstein, Ranjay Krishna
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. NeurIPS (2022)
Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
Measuring Compositional Consistency for Video Question Answering. CVPR (2022)
Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael Bernstein, Ranjay Krishna
Explanations Can Reduce Overreliance on AI Systems During Decision-Making. CoRR (2022)
Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
AGQA 2.0: An Updated Benchmark for Compositional Spatio-Temporal Reasoning. CoRR (2022)
Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
Measuring Compositional Consistency for Video Question Answering. CoRR (2022)
Zixian Ma, Rose Wang, Li Fei-Fei, Michael S. Bernstein, Ranjay Krishna
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. CoRR (2022)
Zixian Ma, Jerry Hong, Mustafa Omer Gul, Mona Gandhi, Irena Gao, Ranjay Krishna
CREPE: Can Vision-Language Foundation Models Reason Compositionally? CoRR (2022)
Maureen Daum, Enhao Zhang, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna, Apryle Craig, Aaron Wirsing
VOCAL: Video Organization and Interactive Compositional AnaLytics. CIDR (2022)
Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein
Visual Intelligence through Human Interaction. CoRR (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. CoRR (2021)
Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning. CoRR (2021)
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. ACL/IJCNLP (1) (2021)
Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning. CVPR (2021)
Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. CoRR (2020)
Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. W-NUT@EMNLP (2020)
Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. CoRR (2020)
Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs. CVPR (2020)
Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Information Maximizing Visual Question Generation. CVPR (2019)
Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Deep Bayesian Active Learning for Multiple Correct Outputs. CoRR (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. NeurIPS (2019)
Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction with Limited Labels. ICCV Workshops (2019)
Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. CoRR (2019)
Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles
Action Genome: Actions as Composition of Spatio-temporal Scene Graphs. CoRR (2019)
Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Information Maximizing Visual Question Generation. CoRR (2019)
Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. ICCV Workshops (2019)
Michelle S. Lam, Grace B. Young, Catherine Y. Xu, Ranjay Krishna, Michael S. Bernstein
Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations. CHI Extended Abstracts (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
HYPE: Human eYe Perceptual Evaluation of Generative Models. CoRR (2019)
Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction with Limited Labels. CoRR (2019)
Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei
Scene Graph Prediction With Limited Labels. ICCV (2019)
Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein
AI-Based Request Augmentation to Increase Crowdsourcing Participation. HCOMP (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
HYPE: Human-eYe Perceptual Evaluation of Generative Models. DGS@ICLR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ranjay Krishna