27 citations · 37 across the 7 of their papers we have counts for
4 papers · 1 filter
C2FXNet: Coarse-to-Fine Scene Expert for Unified Object Detection across Adverse Weather
Tianle Fang, Zhenbing Liu, Chong Yin +2
Object detection in adverse weather remains challenging because severe degradations weaken visual quality and disrupt semantic feature representations across diverse scenes. Existi…
C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation
Hualong Zhang, Siyang Feng, Zihan Huan +4
Histopathological tissue segmentation is essential for computer-aided diagnosis, yet weakly supervised methods often suffer from noisy pseudo-labels generated by Class Activation M…
A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification
Huadeng Wang, Zhipeng Liu, Rushi Lan +4
Mitosis nuclei count is one of the important indicators for the pathological diagnosis of breast cancer. The manual annotation needs experienced pathologists, which is very time-co…
Binary Representation via Jointly Personalized Sparse Hashing
Xiaoqin Wang, Chen Chen, Rushi Lan +4
Unsupervised hashing has attracted much attention for binary representation learning due to the requirement of economical storage and efficiency of binary codes. It aims to encode…