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I am a PhD student at the University of Washington in Computer Science and Engineering supervised by Prof. Ali Farhadi (RAIVN Lab) and Prof. Ranjay Krishna. In summer 2023, I was a research intern in the PRIOR team at Allen Institute for AI (AI2) closely working with Kuo-Hao Zeng and Ani Kembhavi. Previously, I received my Bachelor of Science in Computer Engineering from Sharif University of Technology. During the last year of my Bachelor, I was a visiting student at EPFL where I was working with at VILAB with Prof. Amir Zamir. |
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I'm interested in developing Reinforcement Learning strategies where the agents can explore in a unsupervised fashion through curiosity and intrinsic motivation signals, learn useful prior over representation and dynamics of the world and be able to quickly adapt to a variety of new tasks. |
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Ainaz Eftekhar*, Kuo-Hao Zeng*, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna ICLR, 2024 [Spotlight] project page / arXiv / code
Inspired by selective attention in humans—the process through which people filter their perception based on their experiences, knowledge, and the task at hand—we introduce a parameter-efficient approach to filter visual stimuli for Embodied-AI. |
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Ainaz Eftekhar*, Alexander Sax*, Roman Bachmann, Jitendra Malik, Amir Zamir ICCV, 2021 project page / arXiv / code
A pipeline to resample comprehensive 3D scans from the real-world into static multi-task vision datasets. |
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Mohammadreza Salehi, Ainaz Eftekhar* Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee arXiv , 2020 arXiv / code A self-supervised approach to Anomaly Detection. |
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Design and source code from Jon Barron's website. |