Gibson Env: Real-World Perception for Embodied Agents. - Fei Xia 002; Amir R. Zamir; Zhi-Yang He; Alexander Sax; Jitendra Malik; Silvio Savarese (CVPR, 2018)

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks. - Alexander Sax; Bradley Emi; Amir Zamir; Leonidas J. Guibas; Silvio Savarese; Jitendra Malik (CoRR, 2018)

Learning to Navigate Using Mid-Level Visual Priors. - Alexander Sax; Jeffrey O. Zhang; Bradley Emi; Amir Zamir; Silvio Savarese; Leonidas J. Guibas; Jitendra Malik (CoRL, 2019)

Taskonomy: Disentangling Task Transfer Learning. - Amir Zamir; Alexander Sax; William B. Shen; Leonidas J. Guibas; Jitendra Malik; Silvio Savarese (IJCAI, 2019)

Side-Tuning: Network Adaptation via Additive Side Networks. - Jeffrey O. Zhang; Alexander Sax; Amir Zamir; Leonidas J. Guibas; Jitendra Malik (CoRR, 2019)

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. - Bryan Chen; Alexander Sax; Francis Lewis; Iro Armeni; Silvio Savarese; Amir Zamir; Jitendra Malik; Lerrel Pinto (CoRL, 2020)

Robust Learning Through Cross-Task Consistency. - Amir R. Zamir; Alexander Sax; Nikhil Cheerla; Rohan Suri; Zhangjie Cao; Jitendra Malik; Leonidas J. Guibas (CVPR, 2020)

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. - Jeffrey O. Zhang; Alexander Sax; Amir Zamir; Leonidas J. Guibas; Jitendra Malik (ECCV (3), 2020)

Robust Learning Through Cross-Task Consistency. - Amir R. Zamir; Alexander Sax; Teresa Yeo; Oguzhan Fatih Kar; Nikhil Cheerla; Rohan Suri; Zhangjie Cao; Jitendra Malik; Leonidas J. Guibas (CoRR, 2020)

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. - Bryan Chen; Alexander Sax; Gene Lewis; Iro Armeni; Silvio Savarese; Amir Zamir; Jitendra Malik; Lerrel Pinto (CoRR, 2020)

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. - Ainaz Eftekhar; Alexander Sax; Jitendra Malik; Amir Zamir (ICCV, 2021)

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. - Ainaz Eftekhar; Alexander Sax; Roman Bachmann 001; Jitendra Malik; Amir Zamir (CoRR, 2021)

Pretrained Representations for Embodied AI - Alexander Sax (2023)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass. - Jianing Yang; Alexander Sax; Kevin J. Liang; Mikael Henaff; Hao Tang; Ang Cao; Joyce Chai; Franziska Meier; Matt Feiszli (CVPR, 2025)

LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding. - Ang Cao; Sergio Arnaud; Oleksandr Maksymets; Jianing Yang; Ayush Jain; Sriram Yenamandra; Ada Martin; Vincent-Pierre Berges; Paul McVay; Ruslan Partsey; Aravind Rajeswaran; Franziska Meier; et al. (CoRR, 2025)

Unifying 2D and 3D Vision-Language Understanding. - Ayush Jain; Alexander Swerdlow; Yuzhou Wang; Sergio Arnaud; Ada Martin; Alexander Sax; Franziska Meier; Katerina Fragkiadaki (CoRR, 2025)

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. - Sergio Arnaud; Paul McVay; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax; Vincent-Pierre Berges; Mikael Henaff; et al. (CoRR, 2025)