96 citations · 163 across the 26 of their papers we have counts for
17 papers · 1 filter
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…
Weakly-Supervised Surgical Phase Recognition
Roy Hirsch, Regev Cohen, Mathilde Caron +3
A key element of computer-assisted surgery systems is phase recognition of surgical videos. Existing phase recognition algorithms require frame-wise annotation of a large number of…
Self-Supervised Learning for Endoscopic Video Analysis
Roy Hirsch, Mathilde Caron, Regev Cohen +6
Self-supervised learning (SSL) has led to important breakthroughs in computer vision by allowing learning from large amounts of unlabeled data. As such, it might have a pivotal rol…
Self-Supervised Polyp Re-Identification in Colonoscopy
Yotam Intrator, Natalie Aizenberg, Amir Livne +2
Computer-aided polyp detection (CADe) is becoming a standard, integral part of any modern colonoscopy system. A typical colonoscopy CADe detects a polyp in a single frame and does…