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 role …

Following the successful debut of polyp detection and characterization, more advanced
automation tools are being developed for colonoscopy. The new automation tasks, such as …

Temporal action segmentation relates to high-level video understanding, commonly
formulated as frame-wise classification of untrimmed videos into predefined actions. Fully …

Colorectal cancer is the third most common type of cancer with almost two million new cases
worldwide. They develop from neoplastic polyps, most commonly adenomas, which can be …

We propose a two-stage unsupervised approach for parsing videos into phases. We use
motion cues to divide the video into coarse segments. Noisy segment labels are then used …

Colonoscopy is a procedure used to examine the colon and rectum for colorectal cancer or
other abnormalities including polyps or diverticula. Apart from the actual diagnosis, manually …