Aniruddha Kembhavi

156 papers A* 54A 2C 1Misc 1Journal 84Unranked 13
YearRankTypeTitle / Venue / Authors
2025 A* conf
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation.
CVPR
Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma
2025 J jnl
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation.
CoRR
Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma
2025 A* conf
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning.
ICRA
Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martín-Martín, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani
2025 A* conf
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.
CVPR
Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi
2025 A* conf
One Diffusion to Generate Them All.
CVPR
Duong H. Le, Tuan Pham, Sangho Lee, Christopher Clark, Aniruddha Kembhavi, Stephan Mandt, Ranjay Krishna, Jiasen Lu
2025 A* conf
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams.
CVPR
Chris Dongjoo Kim, Jihwan Moon, Sangwoo Moon, Heeseung Yun, Sihaeng Lee, Aniruddha Kembhavi, Soonyoung Lee, Gunhee Kim, Sangho Lee, Christopher Clark
2025 J jnl
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams.
CoRR
Chris Dongjoo Kim, Jihwan Moon, Sangwoo Moon, Heeseung Yun, Sihaeng Lee, Aniruddha Kembhavi, Soonyoung Lee, Gunhee Kim, Sangho Lee, Christopher Clark
2025 — conf
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation.
ACL (1)
Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark
2025 J jnl
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation.
CoRR
Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark
2024 J jnl
CodeNav: Beyond tool-use to using real-world codebases with LLM agents.
CoRR
Tanmay Gupta, Luca Weihs, Aniruddha Kembhavi
2024 J jnl
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models.
Trans. Mach. Learn. Res.
Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi
2024 J jnl
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning.
CoRR
Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martin Martin, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani
2024 J jnl
From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos.
CoRR
Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Sham M. Kakade, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
2024 A* conf
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos.
NeurIPS
Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
2024 J jnl
Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming.
CoRR
Ziqi Gao, Weikai Huang, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna
2024 A conf
Harmonic Mobile Manipulation.
IROS
Ruihan Yang, Yejin Kim, Rose Hendrix, Aniruddha Kembhavi, Xiaolong Wang, Kiana Ehsani
2024 A* conf
Holodeck: Language Guided Generation of 3D Embodied AI Environments.
CVPR
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
2024 A* conf
Iterated Learning Improves Compositionality in Large Vision-Language Models.
CVPR
Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna
2024 J jnl
Iterated Learning Improves Compositionality in Large Vision-Language Models.
CoRR
Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna
2024 — conf
MIMIC: Masked Image Modeling with Image Correspondences.
CVPR Workshops
Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Patrick Howe, Sharan Ranjit S, Anand Bhattad, Aniruddha Kembhavi, Linda G. Shapiro, Ranjay Krishna
2024 J jnl
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.
CoRR
Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi
2024 J jnl
One Diffusion to Generate Them All.
CoRR
Duong H. Le, Tuan Pham, Sangho Lee, Christopher Clark, Aniruddha Kembhavi, Stephan Mandt, Ranjay Krishna, Jiasen Lu
2024 A* conf
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
ICRA
Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
2024 Misc conf
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators.
CoRL
Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani, Rose Hendrix, Jordi Salvador, Alvaro Herrasti, Ross B. Girshick, Aniruddha Kembhavi, Luca Weihs
2024 J jnl
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators.
CoRR
Kuo-Hao Zeng, Zichen Zhang, Kiana Ehsani, Rose Hendrix, Jordi Salvador, Alvaro Herrasti, Ross B. Girshick, Aniruddha Kembhavi, Luca Weihs
2024 J jnl
Preserving Identity with Variational Score for General-purpose 3D Editing.
CoRR
Duong H. Le, Tuan Pham, Aniruddha Kembhavi, Stephan Mandt, Wei-Chiu Ma, Jiasen Lu
2024 A* conf
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences.
CVPR
Minyoung Hwang, Luca Weihs, Chanwoo Park, Kimin Lee, Aniruddha Kembhavi, Kiana Ehsani
2024 J jnl
SAT: Spatial Aptitude Training for Multimodal Language Models.
CoRR
Arijit Ray, Jiafei Duan, Reuben Tan, Dina Bashkirova, Rose Hendrix, Kiana Ehsani, Aniruddha Kembhavi, Bryan A. Plummer, Ranjay Krishna, Kuo-Hao Zeng, Kate Saenko
2024 A* conf
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World.
CVPR
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
2024 A* conf
Seeing the Unseen: Visual Common Sense for Semantic Placement.
CVPR
Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra, Zsolt Kira, Kuo-Hao Zeng, Luca Weihs
2024 J jnl
Seeing the Unseen: Visual Common Sense for Semantic Placement.
CoRR
Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra, Zsolt Kira, Kuo-Hao Zeng, Luca Weihs
2024 A* conf
Selective Visual Representations Improve Convergence and Generalization for Embodied AI.
ICLR
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2024 A* conf
Task Me Anything.
NeurIPS
Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2024 J jnl
Task Me Anything.
CoRR
Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2024 J jnl
The One RING: a Robotic Indoor Navigation Generalist.
CoRR
Ainaz Eftekhar, Luca Weihs, Rose Hendrix, Ege Caglar, Jordi Salvador, Alvaro Herrasti, Winson Han, Eli VanderBilt, Aniruddha Kembhavi, Ali Farhadi, Ranjay Krishna, Kiana Ehsani, Kuo-Hao Zeng
2024 A* conf
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action.
CVPR
Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
2023 A* conf
EXCALIBUR: Encouraging and Evaluating Embodied Exploration.
CVPR
Hao Zhu, Raghav Kapoor, So Yeon Min, Winson Han, Jiatai Li, Kaiwen Geng, Graham Neubig, Yonatan Bisk, Aniruddha Kembhavi, Luca Weihs
2023 J jnl
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models.
CoRR
Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi
2023 J jnl
FLUID: A Unified Evaluation Framework for Flexible Sequential Data.
Trans. Mach. Learn. Res.
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
2023 J jnl
Harmonic Mobile Manipulation.
CoRR
Ruihan Yang, Yejin Kim, Aniruddha Kembhavi, Xiaolong Wang, Kiana Ehsani
2023 J jnl
Holodeck: Language Guided Generation of 3D Embodied AI Environments.
CoRR
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
2023 A* conf
I can't believe there's no images! : Learning Visual Tasks Using Only Language Supervision.
ICCV
Sophia Gu, Christopher Clark, Aniruddha Kembhavi
2023 J jnl
Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World.
CoRR
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
2023 J jnl
MIMIC: Masked Image Modeling with Image Correspondences.
CoRR
Kalyani Marathe, Mahtab Bigverdi, Nishat Khan, Tuhin Kundu, Aniruddha Kembhavi, Linda G. Shapiro, Ranjay Krishna
2023 A* conf
Neural Priming for Sample-Efficient Adaptation.
NeurIPS
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
2023 J jnl
Neural Priming for Sample-Efficient Adaptation.
CoRR
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
2023 A* conf
Neural Radiance Field Codebooks.
ICLR
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
2023 J jnl
Neural Radiance Field Codebooks.
CoRR
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
2023 A* conf
OBJECT 3DIT: Language-guided 3D-aware Image Editing.
NeurIPS
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
2023 J jnl
OBJECT 3DIT: Language-guided 3D-aware Image Editing.
CoRR
Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
2023 A* conf
Objaverse-XL: A Universe of 10M+ 3D Objects.
NeurIPS
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, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
2023 J jnl
Objaverse-XL: A Universe of 10M+ 3D Objects.
CoRR
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, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
2023 A* conf
Objaverse: A Universe of Annotated 3D Objects.
CVPR
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi
2023 A* conf
Phone2Proc: Bringing Robust Robots into Our Chaotic World.
CVPR
Matt Deitke, Rose Hendrix, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi
2023 J jnl
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences.
CoRR
Minyoung Hwang, Luca Weihs, Chanwoo Park, Kimin Lee, Aniruddha Kembhavi, Kiana Ehsani
2023 A* conf
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding.
ICCV
Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi
2023 A* conf
Scene Graph Contrastive Learning for Embodied Navigation.
ICCV
Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi
2023 J jnl
Selective Visual Representations Improve Convergence and Generalization for Embodied AI.
CoRR
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2023 A* conf
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality.
NeurIPS
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
2023 J jnl
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality.
CoRR
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna
2023 A* conf
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks.
ICLR
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
2023 J jnl
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action.
CoRR
Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
2023 A* conf
Visual Programming: Compositional visual reasoning without training.
CVPR
Tanmay Gupta, Aniruddha Kembhavi
2023 J jnl
Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing.
CoRR
Piper Wolters, Favyen Bastani, Aniruddha Kembhavi
2022 J jnl
A General Purpose Supervisory Signal for Embodied Agents.
CoRR
Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi
2022 J jnl
ASC me to Do Anything: Multi-task Training for Embodied AI.
CoRR
Jiasen Lu, Jordi Salvador, Roozbeh Mottaghi, Aniruddha Kembhavi
2022 A* conf
Ask4Help: Learning to Leverage an Expert for Embodied Tasks.
NeurIPS
Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti, Jonghyun Choi, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 J jnl
Ask4Help: Learning to Leverage an Expert for Embodied Tasks.
CoRR
Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti, Jonghyun Choi, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 J jnl
Benchmarking Progress to Infant-Level Physical Reasoning in AI.
Trans. Mach. Learn. Res.
Luca Weihs, Amanda Rose Yuile, Renée Baillargeon, Cynthia Fisher, Gary Marcus, Roozbeh Mottaghi, Aniruddha Kembhavi
2022 J jnl
GRIT: General Robust Image Task Benchmark.
CoRR
Tanmay Gupta, Ryan Marten, Aniruddha Kembhavi, Derek Hoiem
2022 J jnl
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Data.
CoRR
Sophia Gu, Christopher Clark, Aniruddha Kembhavi
2022 J jnl
Objaverse: A Universe of Annotated 3D Objects.
CoRR
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi
2022 — conf
Object Manipulation via Visual Target Localization.
ECCV (39)
Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 J jnl
Object Manipulation via Visual Target Localization.
CoRR
Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 J jnl
Phone2Proc: Bringing Robust Robots Into Our Chaotic World.
CoRR
Matt Deitke, Rose Hendrix, Luca Weihs, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi
2022 J jnl
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation.
CoRR
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 J jnl
Retrospectives on the Embodied AI Workshop.
CoRR
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, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
2022 J jnl
Satlas: A Large-Scale, Multi-Task Dataset for Remote Sensing Image Understanding.
CoRR
Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi
2022 A* conf
Simple but Effective: CLIP Embeddings for Embodied AI.
CVPR
Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi, Aniruddha Kembhavi
2022 A* conf
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture.
CVPR
Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem
2022 J jnl
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks.
CoRR
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
2022 J jnl
Visual Programming: Compositional visual reasoning without training.
CoRR
Tanmay Gupta, Aniruddha Kembhavi
2022 — conf
Webly Supervised Concept Expansion for General Purpose Vision Models.
ECCV (36)
Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi
2022 J jnl
Webly Supervised Concept Expansion for General Purpose Vision Models.
CoRR
Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi
2022 A* conf
What do navigation agents learn about their environment?
CVPR
Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 J jnl
What do navigation agents learn about their environment?
CoRR
Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 A* conf
🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation.
NeurIPS
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Kiana Ehsani, Jordi Salvador, Winson Han, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi
2021 A* conf
Bridging the Imitation Gap by Adaptive Insubordination.
NeurIPS
Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2021 J jnl
Container: Context Aggregation Network.
CoRR
Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
2021 A* conf
Container: Context Aggregation Networks.
NeurIPS
Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
2021 A* conf
GridToPix: Training Embodied Agents with Minimal Supervision.
ICCV
Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing
2021 J jnl
GridToPix: Training Embodied Agents with Minimal Supervision.
CoRR
Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing
2021 — conf
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text.
EMNLP (1)
Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi
2021 J jnl
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text.
CoRR
Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi
2021 A* conf
Learning Generalizable Visual Representations via Interactive Gameplay.
ICLR
Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M. Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
2021 A* conf
ManipulaTHOR: A Framework for Visual Object Manipulation.
CVPR
Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi
2021 J jnl
ManipulaTHOR: A Framework for Visual Object Manipulation.
CoRR
Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi
2021 — conf
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.
ACL/IJCNLP (1)
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021 J jnl
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.
CoRR
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021 A* conf
RobustNav: Towards Benchmarking Robustness in Embodied Navigation.
ICCV
Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi
2021 J jnl
RobustNav: Towards Benchmarking Robustness in Embodied Navigation.
CoRR
Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi
2021 J jnl
Simple but Effective: CLIP Embeddings for Embodied AI.
CoRR
Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi, Aniruddha Kembhavi
2021 J jnl
Towards General Purpose Vision Systems.
CoRR
Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem
2021 A* conf
Visual Room Rearrangement.
CVPR
Luca Weihs, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi
2021 J jnl
Visual Room Rearrangement.
CoRR
Luca Weihs, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi
2021 A* conf
Visual Semantic Role Labeling for Video Understanding.
CVPR
Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi
2021 J jnl
Visual Semantic Role Labeling for Video Understanding.
CoRR
Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi
2020 J jnl
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks.
CoRR
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020 — conf
A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks.
ECCV (5)
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020 J jnl
AllenAct: A Framework for Embodied AI Research.
CoRR
Luca Weihs, Jordi Salvador, Klemen Kotar, Unnat Jain, Kuo-Hao Zeng, Roozbeh Mottaghi, Aniruddha Kembhavi
2020 J jnl
Bridging the Imitation Gap by Adaptive Insubordination.
CoRR
Luca Weihs, Unnat Jain, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020 C conf
Feel The Music: Automatically Generating A Dance For An Input Song.
ICCC
Purva Tendulkar, Abhishek Das, Aniruddha Kembhavi, Devi Parikh
2020 J jnl
Feel The Music: Automatically Generating A Dance For An Input Song.
CoRR
Purva Tendulkar, Abhishek Das, Aniruddha Kembhavi, Devi Parikh
2020 — conf
Grounded Situation Recognition.
ECCV (4)
Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
2020 J jnl
Grounded Situation Recognition.
CoRR
Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
2020 J jnl
In the Wild: From ML Models to Pragmatic ML Systems.
CoRR
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
2020 A* conf
Learning About Objects by Learning to Interact with Them.
NeurIPS
Martin Lohmann, Jordi Salvador, Aniruddha Kembhavi, Roozbeh Mottaghi
2020 J jnl
Learning About Objects by Learning to Interact with Them.
CoRR
Martin Lohmann, Jordi Salvador, Aniruddha Kembhavi, Roozbeh Mottaghi
2020 J jnl
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.
CoRR
Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, Erik Wijmans
2020 A* conf
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.
CVPR
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
2020 J jnl
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.
CoRR
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
2020 A* conf
Supermasks in Superposition.
NeurIPS
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi
2020 J jnl
Supermasks in Superposition.
CoRR
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi
2020 A* conf
What's Hidden in a Randomly Weighted Neural Network?
CVPR
Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari
2020 — conf
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers.
EMNLP (1)
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
2020 J jnl
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers.
CoRR
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
2019 J jnl
Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game.
CoRR
Luca Weihs, Aniruddha Kembhavi, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
2019 A* conf
ELASTIC: Improving CNNs With Dynamic Scaling Policies.
CVPR
Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari
2019 A* conf
Two Body Problem: Collaborative Visual Task Completion.
CVPR
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019 J jnl
Two Body Problem: Collaborative Visual Task Completion.
CoRR
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019 J jnl
What's Hidden in a Randomly Weighted Neural Network?
CoRR
Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari
2018 A* conf
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering.
CVPR
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi
2018 J jnl
ELASTIC: Improving CNNs with Instance Specific Scaling Policies.
CoRR
Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari
2018 A* conf
IQA: Visual Question Answering in Interactive Environments.
CVPR
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi
2018 — conf
Imagine This! Scripts to Compositions to Videos.
ECCV (8)
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi
2018 J jnl
Imagine This! Scripts to Compositions to Videos.
CoRR
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi
2018 A* conf
Structured Set Matching Networks for One-Shot Part Labeling.
CVPR
Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi
2017 A* conf
Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension.
CVPR
Aniruddha Kembhavi, Min Joon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi
2017 — conf
Bidirectional Attention Flow for Machine Comprehension.
ICLR (Poster)
Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
2017 J jnl
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset.
CoRR
Aishwarya Agrawal, Aniruddha Kembhavi, Dhruv Batra, Devi Parikh
2017 J jnl
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering.
CoRR
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi
2017 J jnl
IQA: Visual Question Answering in Interactive Environments.
CoRR
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi
2017 J jnl
Structured Set Matching Networks for One-Shot Part Labeling.
CoRR
Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi
2016 J jnl
A Diagram Is Worth A Dozen Images.
CoRR
Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi
2016 — conf
A Diagram is Worth a Dozen Images.
ECCV (4)
Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi
2016 J jnl
Bidirectional Attention Flow for Machine Comprehension.
CoRR
Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
2016 A* conf
Semantic Parsing to Probabilistic Programs for Situated Question Answering.
EMNLP
Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi
2016 J jnl
Semantic Parsing to Probabilistic Programs for Situated Question Answering.
CoRR
Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi
2011 J jnl
Vehicle Detection Using Partial Least Squares.
IEEE Trans. Pattern Anal. Mach. Intell.
Aniruddha Kembhavi, David Harwood, Larry S. Davis
2010 — —
Recognizing Objects And Reasoning About Their Interactions.
Aniruddha Kembhavi
2010 — conf
Why Did the Person Cross the Road (There)? Scene Understanding Using Probabilistic Logic Models and Common Sense Reasoning.
ECCV (2)
Aniruddha Kembhavi, Tom Yeh, Larry S. Davis
2009 A* conf
Human detection using partial least squares analysis.
ICCV
William Robson Schwartz, Aniruddha Kembhavi, David Harwood, Larry S. Davis
2009 A* conf
Incremental Multiple Kernel Learning for object recognition.
ICCV
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezianko, Scott McCloskey, Larry S. Davis
2009 J jnl
Motion segmentation and activity representation in crowds.
Int. J. Imaging Syst. Technol.
Yunqian Ma, Petr Císar, Aniruddha Kembhavi
2009 J jnl
Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Abhinav Gupta, Aniruddha Kembhavi, Larry S. Davis
2008 A conf
Tracking Down Under: Following the Satin Bowerbird.
WACV
Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, David W. Jacobs, Ramani Duraiswami, Larry S. Davis