Publications

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

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Robustness via Cross-Domain Ensembles. In ICCV, 2021.  [Oral]
Teresa Yeo*, Oğuzhan Fatih Kar*, Alexander Sax, Amir Zamir.

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Robust Policies via Mid-Level Visual Representations. In CoRL, 2020.  
Alexander Sax*, Bryan Chen*, Francis E. Lewis, Silvio Savarese, Jitendra Malik, Amir Zamir, Lerrel Pinto.

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Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. In CVPR, 2020.  [Oral]
Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik.

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Robust Learning Through Cross-Task Consistency. In CVPR, 2020.  [Best Paper Nominee] [Oral]
Alexander Sax*, Amir Zamir*, Teresa Yeo, Oğuzhan Faith Kar, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas Guibas.

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Mid-Level Visual Priors Improve Generalization and Sample Efficiency for Learning Visuomotor Policies. In CoRL, in BayLearn, 2019.  [Oral]
Alexander Sax, Jeffrey O. Zhang, Amir Zamir, Silvio Savarese, Leonidas Guibas, Jitendra Malik.

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Taskonomy: Disentangling Task Transfer Learning. In CVPR, 2018.  [Best Paper Award] [Oral]
Amir Zamir, Alexander Sax*, William B. Shen*, Jitendra Malik, Leonidas Guibas, Silvio Savarese.

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GibsonEnv: Embodied Real-World Active Perception. In CVPR, 2018.  [Spotlight]
Fei Xia*, Zhiyang He*, Amir Zamir*, Alexander Sax, Jitendra Malik, Silvio Savarese.

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2D-3D-Semantic Data for Indoor Scene Understanding. 2017.  
Alexander Sax*, Iro Armeni*, Amir Zamir, Jitendra Malik, Leonidas Guibas, Silvio Savarese.

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