In this paper, we show that recent advances in video representation lear...
Unsupervised object-centric learning methods allow the partitioning of s...
Data augmentation is an effective regularization strategy for mitigating...
Surgical scene segmentation is fundamentally crucial for prompting cogni...
Automatic surgical scene segmentation is fundamental for facilitating
co...
Surgical instrument segmentation – in general a pixel classification tas...
This paper presents a self-supervised method for learning reliable visua...
Automatic surgical workflow recognition is a key component for developin...
Surgical instrument segmentation in robot-assisted surgery (RAS) - espec...
Predicting future frames for robotic surgical video is an interesting,
i...
Performing low hertz labeling for surgical videos at intervals can great...
Automatic detection of cancer metastasis from whole slide images (WSIs) ...
America has a massive railway system. As of 2006, U.S. freight railroads...
This paper aims at finding a method to register two different point clou...
We develop a novel cross-modality generation framework that learns to
ge...