Kate Feingold

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I am a PhD student in Computer Vision at the Weizmann Institute of Science, advised by Prof. Tali Dekel, with whom I also completed my M.Sc. I hold a B.Sc. from Taras Shevchenko National University. My research sits at the intersection of multimodal learning, generative models, and 3D/4D perception.

I have over six years of industry experience spanning Neural Architecture Search at Deci AI (acquired by NVIDIA), open-source contributions to SuperGradients, UAV navigation, action recognition, and video understanding.

Publications

  1. ir4rl_teaser.png
    IR4RL: Reinforcement Learning from Intermediate Renders for Image-to-Code Generation
    Omri Kaduri*, Kate Feingold*, Phillip Isola, and Tali Dekel
    * Equal contribution
  2. maf_teaser.png
    Match-and-Fuse: Consistent Generation from Unstructured Image Sets
    Kate Feingold, Omri Kaduri, and Tali Dekel

Talks

Sep 2026
Voxel51 AI, ML and Computer Vision Meetup (Recording)
"Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation"
Sep 2026
Michal Irani's Group
"Match-and-Fuse: Consistent Generation from Unstructured Image Sets"
Jul 2026
Or Litany's Group
"Match-and-Fuse: Consistent Generation from Unstructured Image Sets"
Apr 2026
AI Center General Meeting, Weizmann Institute of Science
"Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation"
Jan 2026
Amazon Prime Video Sports Reading Group
"Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation"

Blogs

Teaching

2024–2026
Teaching Assistant, Advanced Topics in Computer Vision and Deep Learning
Weizmann Institute of Science

Press

Jul 2026
Best of CVPR 2026
Computer Vision News