96 citations · 163 across the 26 of their papers we have counts for
27 papers
Person Identification from Contextual Motion
Igor Kviatkovsky, Ehud Rivlin, Ilan Shimshoni
We consider the problem of identifying people based on their motion styles. We present a generative model describing the action instance creation process and derive a probabilistic…
MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment
Barak Pinkovich, Boaz Matalon, Ehud Rivlin +1
This paper presents a Multi-Elevation Semantic Segmentation Image (MESSI) dataset comprising 2525 images taken by a drone flying over dense urban environments. MESSI is unique in t…
Anchored Diffusion for Video Face Reenactment
Idan Kligvasser, Regev Cohen, George Leifman +2
Video generation has drawn significant interest recently, pushing the development of large-scale models capable of producing realistic videos with coherent motion. Due to memory co…
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
Regev Cohen, Idan Kligvasser, Ehud Rivlin +1
The pursuit of high perceptual quality in image restoration has driven the development of revolutionary generative models, capable of producing results often visually indistinguish…
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models
Omer Belhasin, Idan Kligvasser, George Leifman +7
Analyzing the cardiovascular system condition via Electrocardiography (ECG) is a common and highly effective approach, and it has been practiced and perfected over many decades. EC…
Capabilities of Gemini Models in Medicine
Khaled Saab, Tao Tu, Wei-Hung Weng +64
Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of…