Bagon, Shai

16 publications

ICCV 2025 Learning to See Inside Opaque Liquid Containers Using Speckle Vibrometry Matan Kichler, Shai Bagon, Mark Sheinin
CVPR 2025 What's in the Image? a Deep-Dive into the Vision of Vision Language Models Omri Kaduri, Shai Bagon, Tali Dekel
ECCV 2024 DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video Narek Tumanyan, Assaf Singer, Shai Bagon, Tali Dekel
ICLR 2024 TokenFlow: Consistent Diffusion Features for Consistent Video Editing Michal Geyer, Omer Bar-Tal, Shai Bagon, Tali Dekel
ICCVW 2023 DeepCut: Unsupervised Segmentation Using Graph Neural Networks Clustering Amit Aflalo, Shai Bagon, Tamar Kashti, Yonina C. Eldar
CVPR 2023 Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation Narek Tumanyan, Michal Geyer, Shai Bagon, Tali Dekel
ECCV 2022 Combining Internal and External Constraints for Unrolling Shutter in Videos Eyal Naor, Itai Antebi, Shai Bagon, Michal Irani
ECCV 2022 Diverse Generation from a Single Video Made Possible Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani
CVPR 2022 Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani
ECCVW 2022 On the Effectiveness of ViT Features as Local Semantic Descriptors Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel
CVPR 2022 Splicing ViT Features for Semantic Appearance Transfer Narek Tumanyan, Omer Bar-Tal, Shai Bagon, Tali Dekel
ECCV 2020 Across Scales & Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani
ICCV 2011 Decision Tree Fields Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli
CVPR 2010 Detecting and Sketching the Common Shai Bagon, Or Brostovski, Meirav Galun, Michal Irani
ICCV 2009 Super-Resolution from a Single Image Daniel Glasner, Shai Bagon, Michal Irani
ECCV 2008 What Is a Good Image Segment? a Unified Approach to Segment Extraction Shai Bagon, Oren Boiman, Michal Irani