In digital images, the performance of optical aberration is a multivaria...
Temporal action segmentation is crucial for understanding long-form vide...
Most existing deblurring methods focus on removing global blur caused by...
Medical image segmentation has been widely recognized as a pivot procedu...
Algorithms for the action segmentation task typically use temporal model...
Surgical phase recognition is of particular interest to computer assiste...
Surgical skills have a great influence on surgical safety and patients'
...
Video quality assessment (VQA) is an important problem in computer visio...
Computer vision technology is widely used in biological and medical data...
Surgical skill assessment is important for surgery training and quality
...
Surgical instrument segmentation is a key component in developing
contex...
Currently, most image quality assessment (IQA) models are supervised by ...
Intraoperative tracking of laparoscopic instruments is often a prerequis...
Quality assessment of in-the-wild videos is a challenging problem becaus...
Tone mapping operators and multi-exposure fusion methods allow us to enj...
To guarantee a satisfying Quality of Experience (QoE) for consumers, it ...
Adversarial attacks find perturbations that can fool models into
misclas...
Recognition of surgical gesture is crucial for surgical skill assessment...
Medical practitioners use survival models to explore and understand the
...
In unsupervised ensemble learning, one obtains predictions from multiple...