Niv Cohen

Niv Cohen

PhD student in Computer Science @ Hebrew University of Jerusalem
Office: Room C-433, Rothberg Building
Email: nivc at cse.huji.ac.il


About Me

I am a PhD student at HUJI Machine Perception Group, supervised by Dr. Yedid Hoshen.
The focus of my research is representation learning, particularly for anomaly detection and semi-supervised disentanglement.

My personal site with some riddles and more.

Selected Publications
  • Set Features for Fine-grained Anomaly Detection
    Niv Cohen, Issar Tzachor, Yedid Hoshen
    arXiv, 2023.
  • [arXiv] [GitHub]

  • Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
    Niv Cohen, Jonathan Kahana, Yedid Hoshen
    The International Conference on Learning Representations (ICLR), 2023
  • [arXiv] [GitHub]

  • Dataset Summarization by K Principal Concepts
    Niv Cohen and Yedid Hoshen
    arXiv, 2022. [arXiv]

  • "This is my unicorn, Fluffy": Personalizing frozen vision-language representations
    Niv Cohen, Rinon Gal, Eli A Meirom, Gal Chechik, Yuval Atzmon
    European Conference on Computer Vision (ECCV), 2022. Oral Presentation.
  • [arXiv] [GitHub]

  • Chip-scale atomic wave-meter enabled by machine learning
    Eitan Edrei, Niv Cohen, Elam Gerstel, Shani Gamzu-Letova, Noa Mazurski, Uriel Levy
    Science Advances, 2022.
    [science.org]

  • An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
    Aviv Gabbay, Niv Cohen and Yedid Hoshen
    Advances in Neural Information Processing Systems (NeurIPS), 2021.
    [arXiv] [Project page] [GitHub]

  • PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
    Tal Reiss*, Niv Cohen*, Liron Bergman and Yedid Hoshen
    Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    [arXiv] [GitHub]
Education
  • PhD, Computer Science @ Hebrew University of Jerusalem, Israel | 2019 - Present
  • MSc, Physics @ Technion - Israel Institute of Technology, Israel | 2015 - 2016
  • BSc, Physics and Mathematics @ Technion - Israel Institute of Technology, Israel | 2011 - 2014
Experience
  • Research Intern @ Nvidia Research | Tel Aviv, Israel | 2022
  • Member of the Academic Committee for Theoretical Questions @ IPhO 2019 | Tel Aviv, Israel | 2018 - 2019
  • Quantative Researcher @ WorldQuant | Ramat Gan, Israel | 2017 - 2019