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 generative models, 3D/4D perception, and multimodal learning. I am drawn to problems where vision meets other modalities or paradigms in creative tasks.
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
Talks
Sep 2026
Upcoming! (Register here) "Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation"
Voxel51 AI, ML and Computer Vision Meetup, September 24, 9–11 AM PST
Voxel51 AI, ML and Computer Vision Meetup, September 24, 9–11 AM PST
Jul 2026
"Match-and-Fuse: Consistent Generation from Unstructured Image Sets"
Or Litany's Group
Or Litany's Group
Apr 2026
"Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation"
AI Center General Meeting, Weizmann Institute of Science
AI Center General Meeting, Weizmann Institute of Science
Jan 2026
"Leveraging Text-To-Image Diffusion Models for Consistent Set-to-Set Generation"
Amazon Prime Video Sports Reading Group
Amazon Prime Video Sports Reading Group
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