Sharif CESR Small Size Robocup Team. - Mohammad Taghi Manzuri; Hamid Reza Chitsaz; Reza Ghorbani; Pooya Karimian; Alireza Mirazi; Mehran Motamed; Roozbeh Mottaghi; Payam Sabzmeydani (RoboCup, 2001)

Coordination of Multiple Agents for Probabilistic Object Tracking. - Roozbeh Mottaghi; Shahram Payandeh (CRV, 2005)

An Integrated Particle Filter and Potential Field Method for Cooperative Robot Target Tracking. - Roozbeh Mottaghi; Richard T. Vaughan (ICRA, 2006)

An integrated particle filter and potential field method applied to cooperative multi-robot target tracking. - Roozbeh Mottaghi; Richard T. Vaughan (Auton. Robots, 2007)

Place recognition-based fixed-lag smoothing for environments with unreliable GPS. - Roozbeh Mottaghi; Michael Kaess; Ananth Ranganathan; Richard Roberts 001; Frank Dellaert (ICRA, 2008)

Graph-based planning using local information for unknown outdoor environments. - Jinhan Lee; Roozbeh Mottaghi; Charles Pippin; Tucker R. Balch (ICRA, 2009)

A compositional approach to learning part-based models of objects. - Roozbeh Mottaghi; Ananth Ranganathan; Alan L. Yuille (ICCV Workshops, 2011)

Augmenting deformable part models with irregular-shaped object patches. - Roozbeh Mottaghi (CVPR, 2012)

Bottom-Up Segmentation for Top-Down Detection. - Sanja Fidler; Roozbeh Mottaghi; Alan L. Yuille; Raquel Urtasun (CVPR, 2013)

Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs. - Roozbeh Mottaghi; Sanja Fidler; Jian Yao; Raquel Urtasun; Devi Parikh (CVPR, 2013)

Complexity of Representation and Inference in Compositional Models with Part Sharing - Alan L. Yuille; Roozbeh Mottaghi (ICLR, 2013)

Towards Scene Understanding: Object Detection, Segmentation, and Contextual Reasoning. - Roozbeh Mottaghi (2013)

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. - Xianjie Chen; Roozbeh Mottaghi; Xiaobai Liu; Sanja Fidler; Raquel Urtasun; Alan L. Yuille (CVPR, 2014)

The Role of Context for Object Detection and Semantic Segmentation in the Wild. - Roozbeh Mottaghi; Xianjie Chen; Xiaobai Liu; Nam-Gyu Cho; Seong-Whan Lee; Sanja Fidler; Raquel Urtasun; Alan L. Yuille (CVPR, 2014)

Monocular Multiview Object Tracking with 3D Aspect Parts. - Yu Xiang; Changkyu Song; Roozbeh Mottaghi; Silvio Savarese (ECCV (6), 2014)

Beyond PASCAL: A benchmark for 3D object detection in the wild. - Yu Xiang; Roozbeh Mottaghi; Silvio Savarese (WACV, 2014)

Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. - Roozbeh Mottaghi; Sanja Fidler; Alan L. Yuille; Raquel Urtasun; Devi Parikh (CoRR, 2014)

A coarse-to-fine model for 3D pose estimation and sub-category recognition. - Roozbeh Mottaghi; Yu Xiang; Silvio Savarese (CVPR, 2015)

Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images. - Roozbeh Mottaghi; Hessam Bagherinezhad; Mohammad Rastegari; Ali Farhadi (CVPR, 2016)

A Task-Oriented Approach for Cost-Sensitive Recognition. - Roozbeh Mottaghi; Hannaneh Hajishirzi; Ali Farhadi (CVPR, 2016)

"What Happens If..." Learning to Predict the Effect of Forces in Images. - Roozbeh Mottaghi; Mohammad Rastegari; Abhinav Gupta 001; Ali Farhadi (ECCV (4), 2016)

ObjectNet3D: A Large Scale Database for 3D Object Recognition. - Yu Xiang; Wonhui Kim; Wei Chen; Jingwei Ji; Christopher B. Choy; Hao Su 001; Roozbeh Mottaghi; Leonidas J. Guibas; Silvio Savarese (ECCV (8), 2016)

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. - Roozbeh Mottaghi; Sanja Fidler; Alan L. Yuille; Raquel Urtasun; Devi Parikh (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content. - Roozbeh Mottaghi; Connor Schenck; Dieter Fox; Ali Farhadi (ICCV, 2017)

Visual Semantic Planning Using Deep Successor Representations. - Yuke Zhu; Daniel Gordon; Eric Kolve; Dieter Fox; Li Fei-Fei 001; Abhinav Gupta 001; Roozbeh Mottaghi; Ali Farhadi (ICCV, 2017)

Target-driven visual navigation in indoor scenes using deep reinforcement learning. - Yuke Zhu; Roozbeh Mottaghi; Eric Kolve; Joseph J. Lim; Abhinav Gupta 001; Li Fei-Fei 001; Ali Farhadi (ICRA, 2017)

AI2-THOR: An Interactive 3D Environment for Visual AI. - Eric Kolve; Roozbeh Mottaghi; Daniel Gordon; Yuke Zhu; Abhinav Gupta 001; Ali Farhadi (CoRR, 2017)

Who Let the Dogs Out? Modeling Dog Behavior From Visual Data. - Kiana Ehsani; Hessam Bagherinezhad; Joseph Redmon; Roozbeh Mottaghi; Ali Farhadi (CVPR, 2018)

SeGAN: Segmenting and Generating the Invisible. - Kiana Ehsani; Roozbeh Mottaghi; Ali Farhadi (CVPR, 2018)

On Evaluation of Embodied Navigation Agents. - Peter Anderson 001; Angel X. Chang; Devendra Singh Chaplot; Alexey Dosovitskiy; Saurabh Gupta 001; Vladlen Koltun; Jana Kosecka; Jitendra Malik; Roozbeh Mottaghi; Manolis Savva; Amir R. Zamir (CoRR, 2018)

OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. - Kenneth Marino; Mohammad Rastegari; Ali Farhadi; Roozbeh Mottaghi (CVPR, 2019)

Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. - Mitchell Wortsman; Kiana Ehsani; Mohammad Rastegari; Ali Farhadi; Roozbeh Mottaghi (CVPR, 2019)

Visual Semantic Navigation using Scene Priors. - Wei Yang 019; Xiaolong Wang 004; Ali Farhadi; Abhinav Gupta 001; Roozbeh Mottaghi (ICLR (Poster), 2019)

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. - Guy Barash; Mauricio Castillo-Effen; Niyati Chhaya; Peter Clark; Huáscar Espinoza; Eitan Farchi; Christopher W. Geib; Odd Erik Gundersen; Seán Ó hÉigeartaigh; José Hernández-Orallo; Chiori Hori; Xiaowei Huang 001; et al. (AI Mag., 2019)

AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence. - Marwan Mattar; Roozbeh Mottaghi; Julian Togelius; Danny Lange (CoRR, 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)

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. - Mohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer; Dieter Fox (CVPR, 2020)

Visual Reaction: Learning to Play Catch With Your Drone. - Kuo-Hao Zeng; Roozbeh Mottaghi; Luca Weihs; Ali Farhadi (CVPR, 2020)

VisualCOMET: Reasoning About the Dynamic Context of a Still Image. - Jae Sung Park; Chandra Bhagavatula; Roozbeh Mottaghi; Ali Farhadi; Yejin Choi 001 (ECCV (5), 2020)

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

Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image. - Jae Sung Park; Chandra Bhagavatula; Roozbeh Mottaghi; Ali Farhadi; Yejin Choi 001 (CoRR, 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)

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

Rearrangement: A Challenge for Embodied AI. - Dhruv Batra; Angel X. Chang; Sonia Chernova; Andrew J. Davison; Jia Deng 001; Vladlen Koltun; Sergey Levine; Jitendra Malik; Igor Mordatch; Roozbeh Mottaghi; Manolis Savva; Hao Su 001 (CoRR, 2020)

MOCA: A Modular Object-Centric Approach for Interactive Instruction Following. - Kunal Pratap Singh; Suvaansh Bhambri; Byeonghwi Kim; Roozbeh Mottaghi; Jonghyun Choi (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 Room Rearrangement. - Luca Weihs; Matt Deitke; Aniruddha Kembhavi; Roozbeh Mottaghi (CVPR, 2021)

Pushing It Out of the Way: Interactive Visual Navigation. - Kuo-Hao Zeng; Luca Weihs; Ali Farhadi; Roozbeh Mottaghi (CVPR, 2021)

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

Contrasting Contrastive Self-Supervised Representation Learning Pipelines. - Klemen Kotar; Gabriel Ilharco; Ludwig Schmidt; Kiana Ehsani; Roozbeh Mottaghi (ICCV, 2021)

Factorizing Perception and Policy for Interactive Instruction Following. - Kunal Pratap Singh; Suvaansh Bhambri; Byeonghwi Kim; Roozbeh Mottaghi; Jonghyun Choi (ICCV, 2021)

What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions. - Kiana Ehsani; Daniel Gordon; Thomas Hai Dang Nguyen; Roozbeh Mottaghi; Ali Farhadi (ICLR, 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)

Contrasting Contrastive Self-Supervised Representation Learning Models. - Klemen Kotar; Gabriel Ilharco; Ludwig Schmidt; Kiana Ehsani; Roozbeh Mottaghi (CoRR, 2021)

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

Multi-Modal Answer Validation for Knowledge-Based VQA. - Jialin Wu; Jiasen Lu; Ashish Sabharwal; Roozbeh Mottaghi (AAAI, 2022)

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents. - Sam Powers; Eliot Xing; Eric Kolve; Roozbeh Mottaghi; Abhinav Gupta 001 (CoLLAs, 2022)

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)

Continuous Scene Representations for Embodied AI. - Samir Yitzhak Gadre; Kiana Ehsani; Shuran Song; Roozbeh Mottaghi (CVPR, 2022)

Interactron: Embodied Adaptive Object Detection. - Klemen Kotar; Roozbeh Mottaghi (CVPR, 2022)

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

A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge. - Dustin Schwenk; Apoorv Khandelwal 001; Christopher Clark; Kenneth Marino; Roozbeh Mottaghi (ECCV (8), 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)

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)

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)

HomeRobot: Open-Vocabulary Mobile Manipulation. - Sriram Yenamandra; Arun Ramachandran; Karmesh Yadav; Austin S. Wang; Mukul Khanna; Théophile Gervet; Tsung-Yen Yang; Vidhi Jain; Alexander Clegg; John M. Turner; Zsolt Kira; Manolis Savva; et al. (CoRL, 2023)

Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. - Vincent-Pierre Berges; Andrew Szot; Devendra Singh Chaplot; Aaron Gokaslan; Roozbeh Mottaghi; Dhruv Batra; Eric Undersander (CVPR, 2023)

ENTL: Embodied Navigation Trajectory Learner. - Klemen Kotar; Aaron Walsman; Roozbeh Mottaghi (ICCV, 2023)

Navigating to Objects Specified by Images. - Jacob Krantz; Théophile Gervet; Karmesh Yadav; Austin S. Wang; Chris Paxton 001; Roozbeh Mottaghi; Dhruv Batra; Jitendra Malik; Stefan Lee; Devendra Singh Chaplot (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)

Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. - Kuo-Hao Zeng; Luca Weihs; Roozbeh Mottaghi; Ali Farhadi (ICLR, 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)

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. - Mukul Khanna; Ram Ramrakhya; Gunjan Chhablani; Sriram Yenamandra; Théophile Gervet; Matthew Chang; Zsolt Kira; Devendra Singh Chaplot; Dhruv Batra; Roozbeh Mottaghi (CVPR, 2024)

Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation. - Homanga Bharadhwaj; Roozbeh Mottaghi; Abhinav Gupta 001; Shubham Tulsiani (ECCV (76), 2024)

Controllable Human-Object Interaction Synthesis. - Jiaman Li; Alexander Clegg; Roozbeh Mottaghi; Jiajun Wu 001; Xavier Puig; C. Karen Liu (ECCV (41), 2024)

Situated Instruction Following. - So Yeon Min; Xavier Puig; Devendra Singh Chaplot; Tsung-Yen Yang; Akshara Rai; Priyam Parashar; Ruslan Salakhutdinov; Yonatan Bisk; Roozbeh Mottaghi (ECCV (61), 2024)

Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. - Xavier Puig; Eric Undersander; Andrew Szot; Mikael Dallaire Cote; Tsung-Yen Yang; Ruslan Partsey; Ruta Desai; Alexander Clegg; Michal Hlavac; So Yeon Min; Vladimir Vondrus; Théophile Gervet; et al. (ICLR, 2024)

Embodiment Randomization for Cross Embodiment Navigation. - Pranav Putta; Gunjan Aggarwal; Roozbeh Mottaghi; Dhruv Batra; Naoki Yokoyama; Joanne Truong; Arjun Majumdar (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)

GOAT: GO to Any Thing. - Matthew Chang; Théophile Gervet; Mukul Khanna; Sriram Yenamandra; Dhruv Shah; So Yeon Min; Kavit Shah; Chris Paxton 001; Saurabh Gupta 001; Dhruv Batra; Roozbeh Mottaghi; Jitendra Malik; et al. (Robotics: Science and Systems, 2024)

Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation. - Homanga Bharadhwaj; Roozbeh Mottaghi; Abhinav Gupta 001; Shubham Tulsiani (CoRR, 2024)

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. - Sriram Yenamandra; Arun Ramachandran; Mukul Khanna; Karmesh Yadav; Jay Vakil; Andrew Melnik; Michael Büttner; Leon Harz; Lyon Brown; Gora Chand Nandi; Arjun P. S; Gaurav Kumar Yadav; et al. (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)

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Matthew Chang; Gunjan Chhablani; Alexander Clegg; Mikael Dallaire Cote; Ruta Desai; Michal Hlavac; Vladimir Karashchuk; Jacob Krantz; Roozbeh Mottaghi; Priyam Parashar; Siddharth Patki; Ishita Prasad; et al. (ICLR, 2025)

Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning. - Ram Ramrakhya; Matthew Chang; Xavier Puig; Ruta Desai; Zsolt Kira; Roozbeh Mottaghi (CoRR, 2025)

ADAPT: Actively Discovering and Adapting to Preferences for any Task. - Maithili Patel; Xavier Puig; Ruta Desai; Roozbeh Mottaghi; Sonia Chernova; Joanne Truong; Akshara Rai (CoRR, 2025)