3 papers
cs.CV2025
See in Depth: Training-Free Surgical Scene Segmentation with Monocular Depth Priors
Kunyi Yang, Qingyu Wang, Cheng Yuan +1
Pixel-wise segmentation of laparoscopic scenes is essential for computer-assisted surgery but difficult to scale due to the high cost of dense annotations. We propose depth-guided…
cs.CV2024
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
Geng Chen, Qingyue Wang, Islem Rekik
A connectional brain template (CBT) is a holistic representation of a population of multi-view brain connectivity graphs, encoding shared patterns and normalizing typical variation…
cs.CV2024
DMAT: A Dynamic Mask-Aware Transformer for Human De-occlusion
Guoqiang Liang, Jiahao Hu, Qingyue Wang +1
Human de-occlusion, which aims to infer the appearance of invisible human parts from an occluded image, has great value in many human-related tasks, such as person re-id, and inten…