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)

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)

Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. - Kiana Ehsani; Shubham Tulsiani; Saurabh Gupta 001; Ali Farhadi; Abhinav Gupta 001 (CVPR, 2020)

Watching the World Go By: Representation Learning from Unlabeled Videos. - Daniel Gordon; Kiana Ehsani; Dieter Fox; Ali Farhadi (CoRR, 2020)

Deconstructing the Structure of Sparse Neural Networks. - Maxwell Van Gelder; Mitchell Wortsman; Kiana Ehsani (CoRR, 2020)

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)

Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery. - Samir Yitzhak Gadre; Kiana Ehsani; Shuran Song (ICCV, 2021)

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

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

Intelligence Through the Lens of Interaction. - Kiana Ehsani (2021)

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

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

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)

Structure from Action: Learning Interactions for Articulated Object 3D Structure Discovery. - Neil Nie; Samir Yitzhak Gadre; Kiana Ehsani; Shuran Song (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)

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

Structure from Action: Learning Interactions for 3D Articulated Object Structure Discovery. - Neil Nie; Samir Yitzhak Gadre; Kiana Ehsani; Shuran Song (IROS, 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)

Towards Disturbance-Free Visual Mobile Manipulation. - Tianwei Ni; Kiana Ehsani; Luca Weihs; Jordi Salvador (WACV, 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)

Manipulate-Anything: Automating Real-World Robots using Vision-Language Models. - Jiafei Duan; Wentao Yuan; Wilbert Pumacay; Yi Ru Wang; Kiana Ehsani; Dieter Fox; Ranjay Krishna (CoRL, 2024)

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)

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)

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)

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)

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)

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)