Kate Feingold
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
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IR4RL: Reinforcement Learning from Intermediate Renders for Image-to-Code Generation* Equal contribution -
Talks
Sep 2026
Voxel51 AI, ML and Computer Vision Meetup (Recording)
"Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation"
"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"
"Match-and-Fuse: Consistent Generation from Unstructured Image Sets"
Jul 2026
Or Litany's Group
"Match-and-Fuse: Consistent Generation from Unstructured Image Sets"
"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"
"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"
"Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation"
Blogs
Dec 2023
A Comprehensive Overview of Gaussian Splatting — featured as #1 trending on Medium
Teaching
2024–2026
Teaching Assistant, Advanced Topics in Computer Vision and Deep Learning
Weizmann Institute of Science
Weizmann Institute of Science
Press
Jul 2026
Best of CVPR 2026
Computer Vision News
Computer Vision News