26 citations · 34 across the 2 of their papers we have counts for
3 papers
cs.CV2023★ 26 cited
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…
cs.CV2023★ 8 cited
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…
cs.CV2020
Do We Need Depth in State-Of-The-Art Face Authentication?
Amir Livne, Alex Bronstein, Ron Kimmel +2
Some face recognition methods are designed to utilize geometric information extracted from depth sensors to overcome the weaknesses of single-image based recognition technologies.…