3 papers
cs.CV2026
Bi-Level Collaborative Learning for Few-Shot Scribble-Supervised Medical Image Segmentation
Xiang-Xiang Su, Yufan Ye, Yihang Zheng +2
Scribble annotations offer an efficient alternative to costly pixel-wise labeling for medical image segmentation, yet in real clinical scenarios, scribble-annotated samples are oft…
cs.CV2026
BiEvLight: Bi-level Learning of Task-Aware Event Refinement for Low-Light Image Enhancement
Zishu Yao, Xiang-Xiang Su, Shengning Zhou +3
Event cameras, with their high dynamic range, show great promise for Low-light Image Enhancement (LLIE). Existing works primarily focus on designing effective modal fusion strategi…
cs.LG2023
Online Learning Under A Separable Stochastic Approximation Framework
Min Gan, Xiang-xiang Su, Guang-yong Chen +1
We propose an online learning algorithm for a class of machine learning models under a separable stochastic approximation framework. The essence of our idea lies in the observation…