Ranjay Krishna

According to our database, Ranjay Krishna authored at least 76 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Xiang Fan, Anand Bhattad, Ranjay Krishna

CoRR, 2024

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

CoRR, 2024

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

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

CoRR, 2024

Training Language Model Agents without Modifying Language Models.

Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu

CoRR, 2024

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation.

Wilbert Pumacay, Ishika Singh, Jiafei Duan, Ranjay Krishna, Jesse Thomason, Dieter Fox

CoRR, 2024

Scaling Up LLM Reviews for Google Ads Content Moderation.

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

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

Song Bai, Philip H. S. Torr, Ranjay Krishna, Li Fei-Fei, Abhinav Gupta, Song-Chun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Explanations Can Reduce Overreliance on AI Systems During Decision-Making.

Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna

Proc. ACM Hum. Comput. Interact., April, 2023

EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions.

Enhao Zhang, Maureen Daum, Dong He, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska

Proc. VLDB Endow., 2023

EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions.

Enhao Zhang, Maureen Daum, Dong He, Manasi Ganti, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska

Proc. VLDB Endow., 2023

VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building.

Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska

Proc. VLDB Endow., 2023

Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows.

Madeleine Grunde-McLaughlin, Michelle S. Lam, Ranjay Krishna, Daniel S. Weld, Jeffrey Heer

CoRR, 2023

Holodeck: Language Guided Generation of 3D Embodied AI Environments.

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

CoRR, 2023

Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos.

Mehmet Saygin Seyfioglu, Wisdom Oluchi Ikezogwo, Fatemeh Ghezloo, Ranjay Krishna, Linda G. Shapiro

CoRR, 2023

Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models.

Yushi Hu, Otilia Stretcu, Chun-Ta Lu, Krishnamurthy Viswanathan, Kenji Hata, Enming Luo, Ranjay Krishna, Ariel Fuxman

CoRR, 2023

Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World.

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

CoRR, 2023

Lasagna: Layered Score Distillation for Disentangled Object Relighting.

Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko

CoRR, 2023

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback.

Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian

CoRR, 2023

Selective Visual Representations Improve Convergence and Generalization for Embodied AI.

Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna

CoRR, 2023

Improving Interpersonal Communication by Simulating Audiences with Language Models.

Ryan Liu, Howard Yen, Raja Marjieh, Thomas L. Griffiths, Ranjay Krishna

CoRR, 2023

Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation.

Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, Su Wang

CoRR, 2023

Cultural and Linguistic Diversity Improves Visual Representations.

Andre Ye, Sebastin Santy, Jena D. Hwang, Amy X. Zhang, Ranjay Krishna

CoRR, 2023

EcoAssistant: Using LLM Assistant More Affordably and Accurately.

Jieyu Zhang, Ranjay Krishna, Ahmed Hassan Awadallah, Chi Wang

CoRR, 2023

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models.

Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister

CoRR, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

CoRR, 2023

MIMIC: Masked Image Modeling with Image Correspondences.

Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Aniruddha Kembhavi, Linda G. Shapiro, Ranjay Krishna

CoRR, 2023

COLA: How to adapt vision-language models to Compose Objects Localized with Attributes?

Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko

CoRR, 2023

EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report].

Enhao Zhang, Maureen Daum, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna

CoRR, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cola: A Benchmark for Compositional Text-to-image Retrieval.

Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OBJECT 3DIT: Language-guided 3D-aware Image Editing.

Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quilt-1M: One Million Image-Text Pairs for Histopathology.

Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Stefan Chan Geva, Fatwir Sheikh Mohammed, Pavan Kumar Anand, Ranjay Krishna, Linda G. Shapiro

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality.

Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DataComp: In search of the next generation of multimodal datasets.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Agile Modeling: From Concept to Classifier in Minutes.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering.

Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

@ CREPE: Can Vision-Language Foundation Models Reason Compositionally?

Zixian Ma, Jerry Hong, Mustafa Omer Gul, Mona Gandhi, Irena Gao, Ranjay Krishna

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AR2-D2: Training a Robot Without a Robot.

Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna

Proceedings of the Conference on Robot Learning, 2023

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

AGQA 2.0: An Updated Benchmark for Compositional Spatio-Temporal Reasoning.

Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala

CoRR, 2022

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward.

Zixian Ma, Rose Wang, Fei-Fei Li, Michael S. Bernstein, Ranjay Krishna

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Measuring Compositional Consistency for Video Question Answering.

Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VOCAL: Video Organization and Interactive Compositional AnaLytics.

Maureen Daum, Enhao Zhang, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna, Apryle Craig, Aaron Wirsing

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Visual intelligence through human learning.

Ranjay Krishna

PhD thesis, 2021

Visual Intelligence through Human Interaction.

Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein

CoRR, 2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. 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.

CoRR, 2021

AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning.

Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.

Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Conceptual Metaphors Impact Perceptions of Human-AI Collaboration.

Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein

Proc. ACM Hum. Comput. Interact., 2020

Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs.

Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning.

Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

Action Genome: Actions as Composition of Spatio-temporal Scene Graphs.

Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles

CoRR, 2019

Deep Bayesian Active Learning for Multiple Correct Outputs.

Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

CoRR, 2019

HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models.

Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

HYPE: Human-eYe Perceptual Evaluation of Generative Models.

Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction.

Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Scene Graph Prediction With Limited Labels.

Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AI-Based Request Augmentation to Increase Crowdsourcing Participation.

Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Information Maximizing Visual Question Generation.

Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations.

Michelle S. Lam, Grace B. Young, Catherine Y. Xu, Ranjay Krishna, Michael S. Bernstein

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary.

Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Victor Escorcia, Ranjay Krishna, Shyamal Buch, Cuong Duc Dao

CoRR, 2018

Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants.

Ranjay Krishna, Donsuk Lee, Li Fei-Fei, Michael S. Bernstein

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings, 2018

Referring Relationships.

Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations.

Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

Int. J. Comput. Vis., 2017

ActivityNet Challenge 2017 Summary.

Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Ranjay Krishna, Victor Escorcia, Kenji Hata, Shyamal Buch

CoRR, 2017

Crowd Research: Open and Scalable University Laboratories.

Rajan Vaish, Snehalkumar (Neil) S. Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael J. Wilber, Serge J. Belongie, Sharad Goel, James Davis, Michael S. Bernstein

Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017

Dense-Captioning Events in Videos.

Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the IEEE International Conference on Computer Vision, 2017

A Hierarchical Approach for Generating Descriptive Image Paragraphs.

Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality.

Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy.

Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein

CoRR, 2016

Visual Relationship Detection with Language Priors.

Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2016, 2016

Embracing Error to Enable Rapid Crowdsourcing.

Ranjay A. Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

SentenceRacer: A Game with a Purpose for Image Sentence Annotation.

Kenji Hata, Sherman Leung, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei

CoRR, 2015

Daemo: A Self-Governed Crowdsourcing Marketplace.

Snehal (Neil) Gaikwad, Durim Morina, Rohit Nistala, Megha Agarwal, Alison Cossette, Radhika Bhanu, Saiph Savage, Vishwajeet Narwal, Karan Rajpal, Jeff Regino, Aditi Mithal, Adam Ginzberg, Aditi Nath, Karolina R. Ziulkoski, Trygve Cossette, Dilrukshi Gamage, Angela Richmond-Fuller, Ryo Suzuki, Jeerel Herrejón, Kevin Le, Claudia Flores-Saviaga, Haritha Thilakarathne, Kajal Gupta, William Dai, Ankita Sastry, Shirish Goyal, Thejan Rajapakshe, Niki Abolhassani, Angela Xie, Abigail Reyes, Surabhi Ingle, Verónica Jaramillo, Martin Godínez, Walter Ángel, Carlos Toxtli, Juan Flores, Asmita Gupta, Vineet Sethia, Diana Padilla, Kristy Milland, Kristiono Setyadi, Nuwan Wajirasena, Muthitha Batagoda, Rolando Cruz, James Damon, Divya Nekkanti, Tejas Sarma, Mohamed Saleh, Gabriela Gongora-Svartzman, Soroosh Bateni, Gema Toledo Barrera, Alex Peña, Ryan Compton, Deen Aariff, Luis Palacios, Manuela Paula Ritter, Nisha K. K., Alan C. Kay, Jana Uhrmeister, Srivalli Nistala, Milad Esfahani, Elsa Bakiu, Christopher Diemert, Luca Matsumoto, Manik Singh, Krupa Patel, Ranjay Krishna, Geza Kovacs, Rajan Vaish, Michael S. Bernstein

Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015

Image retrieval using scene graphs.

Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval.

Sebastian Schuster, Ranjay Krishna, Angel X. Chang, Li Fei-Fei, Christopher D. Manning

Proceedings of the Fourth Workshop on Vision and Language, 2015