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    Assaf Shocher

    Researcher PhD candidate at Weizmann Institute of Science

    Assaf Shocher is a computer vision and deep learning researcher who completed his PhD at the Weizmann Institute of Science.13 He was a PhD candidate at Weizmann from October 2016 to April 2021, where he focused on Deep Internal Learning.3 Shocher is currently a postdoctoral fellow at the University of California, Berkeley, working with Professor Alexei A. Efros since August 2021.3

    During his time at Weizmann, Shocher:

    1. Worked under the advisorship of Professor Michal Irani2
    2. Served as a teaching assistant for several courses, including Advanced Topics in Computer Vision and Deep Learning3
    3. Received the Weizmann Institute of Science award for outstanding MSc2

    Shocher's research interests include deep learning, computer vision, self-supervision, and generative models.1 He has published several papers in prestigious conferences such as CVPR, ICCV, and NeurIPS.2 Some of his notable works include:

    • "Semantic Pyramid for Image Generation" (CVPR 2020)
    • "InGAN: Capturing and Retargeting the 'DNA' of a Natural Image" (ICCV 2019)
    • "Zero-Shot Super-Resolution using Deep Internal Learning" (CVPR 2018)

    In addition to his academic work, Shocher has industry experience, including a research internship at Google from June 2019 to January 2020, where he worked on computer vision and machine learning.3 He is currently a Visiting Faculty member at Google since October 2022.3

    Shocher holds a BSc in Electrical Engineering and a BSc in Physics from Ben-Gurion University of the Negev, where he graduated with honors.23

    Related Questions

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    Can you explain the concept of Self-Supervision in Deep Learning?
    Assaf Shocher
    Assaf Shocher, photo 1
    Assaf Shocher, photo 2
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    Location

    Safed Area, Israel