Optimize and Reduce: A Top-Down Approach for Image Vectorization

1 code implementation • 18 Dec 2023 • Or Hirschorn, Amir Jevnisek, Shai Avidan

Vector image representation is a popular choice when editability and flexibility in resolution are desired.

Pose Anything: A Graph-Based Approach for Category-Agnostic Pose Estimation

1 code implementation • 29 Nov 2023 • Or Hirschorn, Shai Avidan

This approach not only enables object pose generation based on arbitrary keypoint definitions but also significantly reduces the associated costs, paving the way for versatile and adaptable pose estimation applications.

Animal Pose Estimation Category-Agnostic Pose Estimation +4

Normalizing Flows for Human Pose Anomaly Detection

1 code implementation • ICCV 2023 • Or Hirschorn, Shai Avidan

Video anomaly detection is an ill-posed problem because it relies on many parameters such as appearance, pose, camera angle, background, and more.

Abnormal Event Detection In Video Anomaly Detection In Surveillance Videos +3

Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps

2 code implementations • 24 Jan 2022 • Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv

Our goal is to use cross-modality adaptation between CT and MRI whole cardiac scans for semantic segmentation.

Generative Adversarial Network Segmentation +2