2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch
Renshu Gu, Jialiang Chen, Fei Gao +8
Weakly supervised segmentation relies heavily on class activation maps (CAMs) to initially localize target regions. However, CAMs are often noisy and prone to catastrophic failures…
eess.IV2021★ 2 cited
Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows
Zhizheng Jiang, Fei Gao, Renshu Gu +3
In this paper, a novel deep learning framework is proposed for temporal super-resolution simulation of blood vessel flows, in which a high-temporal-resolution time-varying blood ve…