Alexander Sax

According to our database, Alexander Sax authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

CoRR, January, 2025

2024

OpenEQA: Embodied Question Answering in the Era of Foundation Models.

Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Pretrained Representations for Embodied AI

Alexander Sax

PhD thesis, 2023

2021

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans.

Ainaz Eftekhar, Alexander Sax, Roman Bachmann, Jitendra Malik, Amir Zamir

CoRR, 2021

Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans.

Ainaz Eftekhar, Alexander Sax, Jitendra Malik, Amir Zamir

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

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

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks.

Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2020, 2020

Robust Learning Through Cross-Task Consistency.

Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Side-Tuning: Network Adaptation via Additive Side Networks.

Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik

CoRR, 2019

Taskonomy: Disentangling Task Transfer Learning.

Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning to Navigate Using Mid-Level Visual Priors.

Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

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

Gibson Env: Real-World Perception for Embodied Agents.

Fei Xia, Amir R. Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018