Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …

Temporal action segmentation is crucial for understanding long-form videos. Previous works
on this task commonly adopt an iterative refinement paradigm by using multi-stage models …

Background Technical skill assessment in surgery relies on expert opinion. Therefore, it is
time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial …

The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised
image segmentation. To apply SAM to surgical instrument segmentation, a common …

Automatic surgical scene segmentation is fundamental for facilitating cognitive intelligence
in the modern operating theatre. Previous works rely on conventional aggregation modules …

Considering the complexity of modeling diverse actions of athletes, action quality
assessment (AQA) in sports is a challenging task. A common solution is to tackle this …

The limited availability of labelled data in Action Quality Assessment (AQA), has forced
previous works to fine-tune their models pretrained on large-scale domain-general datasets …

Long-term action quality assessment is a task of evaluating how well an action is performed,
namely, estimating a quality score from a long video. Intuitively, longterm actions generally …

Surgical scene segmentation is a critical task in Robotic-assisted surgery. However, the
complexity of the surgical scene, which mainly includes local feature similarity (eg, between …