Tracking Down Under: Following the Satin Bowerbird. - Aniruddha Kembhavi; Ryan Farrell; Yuancheng Luo; David W. Jacobs; Ramani Duraiswami; Larry S. Davis (WACV, 2008)

Incremental Multiple Kernel Learning for object recognition. - Aniruddha Kembhavi; Behjat Siddiquie; Roland Miezianko; Scott McCloskey; Larry S. Davis (ICCV, 2009)

Human detection using partial least squares analysis. - William Robson Schwartz; Aniruddha Kembhavi; David Harwood; Larry S. Davis (ICCV, 2009)

Motion segmentation and activity representation in crowds. - Yunqian Ma; Petr Císar; Aniruddha Kembhavi (Int. J. Imaging Syst. Technol., 2009)

Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition. - Abhinav Gupta 001; Aniruddha Kembhavi; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Why Did the Person Cross the Road (There)? Scene Understanding Using Probabilistic Logic Models and Common Sense Reasoning. - Aniruddha Kembhavi; Tom Yeh; Larry S. Davis (ECCV (2), 2010)

Recognizing Objects And Reasoning About Their Interactions. - Aniruddha Kembhavi (2010)

Vehicle Detection Using Partial Least Squares. - Aniruddha Kembhavi; David Harwood; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

A Diagram is Worth a Dozen Images. - Aniruddha Kembhavi; Mike Salvato; Eric Kolve; Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi (ECCV (4), 2016)

Semantic Parsing to Probabilistic Programs for Situated Question Answering. - Jayant Krishnamurthy; Oyvind Tafjord; Aniruddha Kembhavi (EMNLP, 2016)

Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension. - Aniruddha Kembhavi; Min Joon Seo; Dustin Schwenk; Jonghyun Choi; Ali Farhadi; Hannaneh Hajishirzi (CVPR, 2017)

Bidirectional Attention Flow for Machine Comprehension. - Min Joon Seo; Aniruddha Kembhavi; Ali Farhadi; Hannaneh Hajishirzi (ICLR (Poster), 2017)

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset. - Aishwarya Agrawal; Aniruddha Kembhavi; Dhruv Batra; Devi Parikh (CoRR, 2017)

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. - Aishwarya Agrawal; Dhruv Batra; Devi Parikh; Aniruddha Kembhavi (CVPR, 2018)

Structured Set Matching Networks for One-Shot Part Labeling. - Jonghyun Choi; Jayant Krishnamurthy; Aniruddha Kembhavi; Ali Farhadi (CVPR, 2018)

IQA: Visual Question Answering in Interactive Environments. - Daniel Gordon; Aniruddha Kembhavi; Mohammad Rastegari; Joseph Redmon; Dieter Fox; Ali Farhadi (CVPR, 2018)

Imagine This! Scripts to Compositions to Videos. - Tanmay Gupta; Dustin Schwenk; Ali Farhadi; Derek Hoiem; Aniruddha Kembhavi (ECCV (8), 2018)

ELASTIC: Improving CNNs with Instance Specific Scaling Policies. - Huiyu Wang; Aniruddha Kembhavi; Ali Farhadi; Alan L. Yuille; Mohammad Rastegari (CoRR, 2018)

Two Body Problem: Collaborative Visual Task Completion. - Unnat Jain; Luca Weihs; Eric Kolve; Mohammad Rastegari; Svetlana Lazebnik; Ali Farhadi; Alexander G. Schwing; Aniruddha Kembhavi (CVPR, 2019)

ELASTIC: Improving CNNs With Dynamic Scaling Policies. - Huiyu Wang; Aniruddha Kembhavi; Ali Farhadi; Alan L. Yuille; Mohammad Rastegari (CVPR, 2019)

Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game. - Luca Weihs; Aniruddha Kembhavi; Winson Han; Alvaro Herrasti; Eric Kolve; Dustin Schwenk; Roozbeh Mottaghi; Ali Farhadi (CoRR, 2019)

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. - Matt Deitke; Winson Han; Alvaro Herrasti; Aniruddha Kembhavi; Eric Kolve; Roozbeh Mottaghi; Jordi Salvador; Dustin Schwenk; Eli VanderBilt; Matthew Wallingford; Luca Weihs; Mark Yatskar; et al. (CVPR, 2020)

What's Hidden in a Randomly Weighted Neural Network? - Vivek Ramanujan; Mitchell Wortsman; Aniruddha Kembhavi; Ali Farhadi; Mohammad Rastegari (CVPR, 2020)

A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks. - Unnat Jain; Luca Weihs; Eric Kolve; Ali Farhadi; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (ECCV (5), 2020)

Grounded Situation Recognition. - Sarah M. Pratt; Mark Yatskar; Luca Weihs; Ali Farhadi; Aniruddha Kembhavi (ECCV (4), 2020)

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. - Jaemin Cho 001; Jiasen Lu; Dustin Schwenk; Hannaneh Hajishirzi; Aniruddha Kembhavi (EMNLP (1), 2020)

Feel The Music: Automatically Generating A Dance For An Input Song. - Purva Tendulkar; Abhishek Das; Aniruddha Kembhavi; Devi Parikh (ICCC, 2020)

Learning About Objects by Learning to Interact with Them. - Martin Lohmann; Jordi Salvador; Aniruddha Kembhavi; Roozbeh Mottaghi (NeurIPS, 2020)

Supermasks in Superposition. - Mitchell Wortsman; Vivek Ramanujan; Rosanne Liu; Aniruddha Kembhavi; Mohammad Rastegari; Jason Yosinski; Ali Farhadi (NeurIPS, 2020)

ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects. - Dhruv Batra; Aaron Gokaslan; Aniruddha Kembhavi; Oleksandr Maksymets; Roozbeh Mottaghi; Manolis Savva; Alexander Toshev; Erik Wijmans (CoRR, 2020)

In the Wild: From ML Models to Pragmatic ML Systems. - Matthew Wallingford; Aditya Kusupati; Keivan Alizadeh-Vahid; Aaron Walsman; Aniruddha Kembhavi; Ali Farhadi (CoRR, 2020)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (CoRR, 2020)

AllenAct: A Framework for Embodied AI Research. - Luca Weihs; Jordi Salvador; Klemen Kotar; Unnat Jain; Kuo-Hao Zeng; Roozbeh Mottaghi; Aniruddha Kembhavi (CoRR, 2020)

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. - Rowan Zellers; Ari Holtzman; Matthew E. Peters; Roozbeh Mottaghi; Aniruddha Kembhavi; Ali Farhadi; Yejin Choi 001 (ACL/IJCNLP (1), 2021)

ManipulaTHOR: A Framework for Visual Object Manipulation. - Kiana Ehsani; Winson Han; Alvaro Herrasti; Eli VanderBilt; Luca Weihs; Eric Kolve; Aniruddha Kembhavi; Roozbeh Mottaghi (CVPR, 2021)

Visual Semantic Role Labeling for Video Understanding. - Arka Sadhu; Tanmay Gupta; Mark Yatskar; Ram Nevatia; Aniruddha Kembhavi (CVPR, 2021)

Visual Room Rearrangement. - Luca Weihs; Matt Deitke; Aniruddha Kembhavi; Roozbeh Mottaghi (CVPR, 2021)

Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. - Christopher Clark; Jordi Salvador; Dustin Schwenk; Derrick Bonafilia; Mark Yatskar; Eric Kolve; Alvaro Herrasti; Jonghyun Choi; Sachin Mehta; Sam Skjonsberg; Carissa Schoenick; Aaron Sarnat; et al. (EMNLP (1), 2021)

RobustNav: Towards Benchmarking Robustness in Embodied Navigation. - Prithvijit Chattopadhyay; Judy Hoffman; Roozbeh Mottaghi; Aniruddha Kembhavi (ICCV, 2021)

GridToPix: Training Embodied Agents with Minimal Supervision. - Unnat Jain; Iou-Jen Liu; Svetlana Lazebnik; Aniruddha Kembhavi; Luca Weihs; Alexander G. Schwing (ICCV, 2021)

Learning Generalizable Visual Representations via Interactive Gameplay. - Luca Weihs; Aniruddha Kembhavi; Kiana Ehsani; Sarah M. Pratt; Winson Han; Alvaro Herrasti; Eric Kolve; Dustin Schwenk; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2021)

Container: Context Aggregation Networks. - Peng Gao 007; Jiasen Lu; Hongsheng Li 001; Roozbeh Mottaghi; Aniruddha Kembhavi (NeurIPS, 2021)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Iou-Jen Liu; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (NeurIPS, 2021)

Towards General Purpose Vision Systems. - Tanmay Gupta; Amita Kamath; Aniruddha Kembhavi; Derek Hoiem (CoRR, 2021)

Container: Context Aggregation Network. - Peng Gao 007; Jiasen Lu; Hongsheng Li 001; Roozbeh Mottaghi; Aniruddha Kembhavi (CoRR, 2021)

Simple but Effective: CLIP Embeddings for Embodied AI. - Apoorv Khandelwal 001; Luca Weihs; Roozbeh Mottaghi; Aniruddha Kembhavi (CVPR, 2022)

What do navigation agents learn about their environment? - Kshitij Dwivedi; Gemma Roig; Aniruddha Kembhavi; Roozbeh Mottaghi (CVPR, 2022)

Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture. - Tanmay Gupta; Amita Kamath; Aniruddha Kembhavi; Derek Hoiem (CVPR, 2022)

Object Manipulation via Visual Target Localization. - Kiana Ehsani; Ali Farhadi; Aniruddha Kembhavi; Roozbeh Mottaghi (ECCV (39), 2022)

Webly Supervised Concept Expansion for General Purpose Vision Models. - Amita Kamath; Christopher Clark; Tanmay Gupta; Eric Kolve; Derek Hoiem; Aniruddha Kembhavi (ECCV (36), 2022)

🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation. - Matt Deitke; Eli VanderBilt; Alvaro Herrasti; Luca Weihs; Kiana Ehsani; Jordi Salvador; Winson Han; Eric Kolve; Aniruddha Kembhavi; Roozbeh Mottaghi (NeurIPS, 2022)

Ask4Help: Learning to Leverage an Expert for Embodied Tasks. - Kunal Pratap Singh; Luca Weihs; Alvaro Herrasti; Jonghyun Choi; Aniruddha Kembhavi; Roozbeh Mottaghi (NeurIPS, 2022)

ASC me to Do Anything: Multi-task Training for Embodied AI. - Jiasen Lu; Jordi Salvador; Roozbeh Mottaghi; Aniruddha Kembhavi (CoRR, 2022)

GRIT: General Robust Image Task Benchmark. - Tanmay Gupta; Ryan Marten; Aniruddha Kembhavi; Derek Hoiem (CoRR, 2022)

ProcTHOR: Large-Scale Embodied AI Using Procedural Generation. - Matt Deitke; Eli VanderBilt; Alvaro Herrasti; Luca Weihs; Jordi Salvador; Kiana Ehsani; Winson Han; Eric Kolve; Ali Farhadi; Aniruddha Kembhavi; Roozbeh Mottaghi (CoRR, 2022)

Retrospectives on the Embodied AI Workshop. - Matt Deitke; Dhruv Batra; Yonatan Bisk; Tommaso Campari; Angel X. Chang; Devendra Singh Chaplot; Changan Chen; Claudia Pérez-D'Arpino; Kiana Ehsani; Ali Farhadi; Li Fei-Fei 001; Anthony G. Francis; et al. (CoRR, 2022)

I Can't Believe There's No Images! Learning Visual Tasks Using only Language Data. - Sophia Gu; Christopher Clark; Aniruddha Kembhavi (CoRR, 2022)

Satlas: A Large-Scale, Multi-Task Dataset for Remote Sensing Image Understanding. - Favyen Bastani; Piper Wolters; Ritwik Gupta; Joe Ferdinando; Aniruddha Kembhavi (CoRR, 2022)

A General Purpose Supervisory Signal for Embodied Agents. - Kunal Pratap Singh; Jordi Salvador; Luca Weihs; Aniruddha Kembhavi (CoRR, 2022)

Phone2Proc: Bringing Robust Robots Into Our Chaotic World. - Matt Deitke; Rose Hendrix; Luca Weihs; Ali Farhadi; Kiana Ehsani; Aniruddha Kembhavi (CoRR, 2022)

Benchmarking Progress to Infant-Level Physical Reasoning in AI. - Luca Weihs; Amanda Rose Yuile; Renée Baillargeon; Cynthia Fisher; Gary Marcus 001; Roozbeh Mottaghi; Aniruddha Kembhavi (Trans. Mach. Learn. Res., 2022)

Phone2Proc: Bringing Robust Robots into Our Chaotic World. - Matt Deitke; Rose Hendrix; Ali Farhadi; Kiana Ehsani; Aniruddha Kembhavi (CVPR, 2023)

Objaverse: A Universe of Annotated 3D Objects. - Matt Deitke; Dustin Schwenk; Jordi Salvador; Luca Weihs; Oscar Michel; Eli VanderBilt; Ludwig Schmidt; Kiana Ehsani; Aniruddha Kembhavi; Ali Farhadi (CVPR, 2023)

Visual Programming: Compositional visual reasoning without training. - Tanmay Gupta; Aniruddha Kembhavi (CVPR, 2023)

EXCALIBUR: Encouraging and Evaluating Embodied Exploration. - Hao Zhu 011; Raghav Kapoor; So Yeon Min; Winson Han; Jiatai Li; Kaiwen Geng; Graham Neubig; Yonatan Bisk; Aniruddha Kembhavi; Luca Weihs (CVPR, 2023)

SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding. - Favyen Bastani; Piper Wolters; Ritwik Gupta; Joe Ferdinando; Aniruddha Kembhavi (ICCV, 2023)

I can't believe there's no images! : Learning Visual Tasks Using Only Language Supervision. - Sophia Gu; Christopher Clark; Aniruddha Kembhavi (ICCV, 2023)

Scene Graph Contrastive Learning for Embodied Navigation. - Kunal Pratap Singh; Jordi Salvador; Luca Weihs; Aniruddha Kembhavi (ICCV, 2023)

UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks. - Jiasen Lu; Christopher Clark; Rowan Zellers; Roozbeh Mottaghi; Aniruddha Kembhavi (ICLR, 2023)

Neural Radiance Field Codebooks. - Matthew Wallingford; Aditya Kusupati; Alex Fang; Vivek Ramanujan; Aniruddha Kembhavi; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2023)

Objaverse-XL: A Universe of 10M+ 3D Objects. - Matt Deitke; Ruoshi Liu; Matthew Wallingford; Huong Ngo; Oscar Michel; Aditya Kusupati; Alan Fan; Christian Laforte; Vikram Voleti; Samir Yitzhak Gadre; Eli VanderBilt; Aniruddha Kembhavi; et al. (NeurIPS, 2023)

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. - Cheng-Yu Hsieh; Jieyu Zhang 001; Zixian Ma; Aniruddha Kembhavi; Ranjay Krishna (NeurIPS, 2023)

OBJECT 3DIT: Language-guided 3D-aware Image Editing. - Oscar Michel; Anand Bhattad; Eli VanderBilt; Ranjay Krishna; Aniruddha Kembhavi; Tanmay Gupta (NeurIPS, 2023)

Neural Priming for Sample-Efficient Adaptation. - Matthew Wallingford; Vivek Ramanujan; Alex Fang; Aditya Kusupati; Roozbeh Mottaghi; Aniruddha Kembhavi; Ludwig Schmidt; Ali Farhadi (NeurIPS, 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)

Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing. - Piper Wolters; Favyen Bastani; Aniruddha Kembhavi (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 003; Winson Han; Alvaro Herrasti; Ranjay Krishna; Dustin Schwenk; et al. (CoRR, 2023)

Harmonic Mobile Manipulation. - Ruihan Yang; Yejin Kim 003; Aniruddha Kembhavi; Xiaolong Wang 004; Kiana Ehsani (CoRR, 2023)

FLUID: A Unified Evaluation Framework for Flexible Sequential Data. - Matthew Wallingford; Aditya Kusupati; Keivan Alizadeh-Vahid; Aaron Walsman; Aniruddha Kembhavi; Ali Farhadi (Trans. Mach. Learn. Res., 2023)

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators. - Kuo-Hao Zeng; Zichen Zhang 016; Kiana Ehsani; Rose Hendrix; Jordi Salvador; Alvaro Herrasti; Ross B. Girshick; Aniruddha Kembhavi; Luca Weihs (CoRL, 2024)

SPOC: 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 003; Winson Han; Alvaro Herrasti; Ranjay Krishna; Dustin Schwenk; et al. (CVPR, 2024)

Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences. - Minyoung Hwang; Luca Weihs; Chanwoo Park; Kimin Lee; Aniruddha Kembhavi; Kiana Ehsani (CVPR, 2024)

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. - Jiasen Lu; Christopher Clark; Sangho Lee 008; Zichen Zhang 016; Savya Khosla; Ryan Marten; Derek Hoiem; Aniruddha Kembhavi (CVPR, 2024)

MIMIC: Masked Image Modeling with Image Correspondences. - Kalyani Marathe; Mahtab Bigverdi; Nishat Khan; Tuhin Kundu; Patrick Howe; Sharan Ranjit S; Anand Bhattad; Aniruddha Kembhavi; Linda G. Shapiro; Ranjay Krishna (CVPR Workshops, 2024)

Seeing the Unseen: Visual Common Sense for Semantic Placement. - Ram Ramrakhya; Aniruddha Kembhavi; Dhruv Batra; Zsolt Kira; Kuo-Hao Zeng; Luca Weihs (CVPR, 2024)

Holodeck: Language Guided Generation of 3D Embodied AI Environments. - Yue Yang 006; Fan-Yun Sun; Luca Weihs; Eli VanderBilt; Alvaro Herrasti; Winson Han; Jiajun Wu 001; Nick Haber; Ranjay Krishna; Lingjie Liu; Chris Callison-Burch; Mark Yatskar; et al. (CVPR, 2024)

Iterated Learning Improves Compositionality in Large Vision-Language Models. - Chenhao Zheng; Jieyu Zhang 001; Aniruddha Kembhavi; Ranjay Krishna (CVPR, 2024)

Selective Visual Representations Improve Convergence and Generalization for Embodied AI. - Ainaz Eftekhar; Kuo-Hao Zeng; Jiafei Duan; Ali Farhadi; Aniruddha Kembhavi; Ranjay Krishna (ICLR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Harmonic Mobile Manipulation. - Ruihan Yang; Yejin Kim 003; Rose Hendrix; Aniruddha Kembhavi; Xiaolong Wang 004; Kiana Ehsani (IROS, 2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos. - Matthew Wallingford; Anand Bhattad; Aditya Kusupati; Vivek Ramanujan; Matt Deitke; Aniruddha Kembhavi; Roozbeh Mottaghi; Wei-Chiu Ma; Ali Farhadi (NeurIPS, 2024)

Task Me Anything. - Jieyu Zhang 001; Weikai Huang; Zixian Ma; Oscar Michel; Dong He 002; Tanmay Gupta; Wei-Chiu Ma; Ali Farhadi; Aniruddha Kembhavi; Ranjay Krishna (NeurIPS, 2024)

Preserving Identity with Variational Score for General-purpose 3D Editing. - Duong H. Le 001; Tuan Pham; Aniruddha Kembhavi; Stephan Mandt; Wei-Chiu Ma; Jiasen Lu (CoRR, 2024)

CodeNav: Beyond tool-use to using real-world codebases with LLM agents. - Tanmay Gupta; Luca Weihs; Aniruddha Kembhavi (CoRR, 2024)

FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning. - Jiaheng Hu; Rose Hendrix; Ali Farhadi; Aniruddha Kembhavi; Roberto Martin Martin; Peter Stone 001; Kuo-Hao Zeng; Kiana Ehsani (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

One Diffusion to Generate Them All. - Duong H. Le 001; Tuan Pham; Sangho Lee 008; Christopher Clark; Aniruddha Kembhavi; Stephan Mandt; Ranjay Krishna; Jiasen Lu (CoRR, 2024)

SAT: Spatial Aptitude Training for Multimodal Language Models. - Arijit Ray; Jiafei Duan; Reuben Tan; Dina Bashkirova; Rose Hendrix; Kiana Ehsani; Aniruddha Kembhavi; Bryan A. Plummer; Ranjay Krishna; Kuo-Hao Zeng; Kate Saenko (CoRR, 2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos. - Matthew Wallingford; Anand Bhattad; Aditya Kusupati; Vivek Ramanujan; Matt Deitke; Sham M. Kakade; Aniruddha Kembhavi; Roozbeh Mottaghi; Wei-Chiu Ma; Ali Farhadi (CoRR, 2024)

Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming. - Ziqi Gao; Weikai Huang; Jieyu Zhang 001; Aniruddha Kembhavi; Ranjay Krishna (CoRR, 2024)

The One RING: a Robotic Indoor Navigation Generalist. - Ainaz Eftekhar; Luca Weihs; Rose Hendrix; Ege Caglar; Jordi Salvador; Alvaro Herrasti; Winson Han; Eli VanderBilt; Aniruddha Kembhavi; Ali Farhadi; Ranjay Krishna; Kiana Ehsani; et al. (CoRR, 2024)

Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models. - Adyasha Maharana; Amita Kamath; Christopher Clark; Mohit Bansal; Aniruddha Kembhavi (Trans. Mach. Learn. Res., 2024)

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. - Yue Yang 006; Ajay Patel; Matt Deitke; Tanmay Gupta; Luca Weihs; Andrew Head; Mark Yatskar; Chris Callison-Burch; Ranjay Krishna; Aniruddha Kembhavi; Christopher Clark (ACL (1), 2025)

One Diffusion to Generate Them All. - Duong H. Le 001; Tuan Pham; Sangho Lee 001; Christopher Clark; Aniruddha Kembhavi; Stephan Mandt; Ranjay Krishna; Jiasen Lu (CVPR, 2025)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation. - Shivam Duggal; Yushi Hu; Oscar Michel; Aniruddha Kembhavi; William T. Freeman; Noah A. Smith; Ranjay Krishna; Antonio Torralba 001; Ali Farhadi; Wei-Chiu Ma (CVPR, 2025)

ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams. - Chris Dongjoo Kim; Jihwan Moon 002; Sangwoo Moon 001; Heeseung Yun; Sihaeng Lee; Aniruddha Kembhavi; Soonyoung Lee; Gunhee Kim; Sangho Lee 008; Christopher Clark (CVPR, 2025)