Author

Chang-Guang Wu

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Conference Open access Sep 2026

H^2Net: Homo- and Heterogeneous Networks for Unified Segmentation

Unified segmentation aims to consolidate multiple vision tasks into a single model, yet faces two core challenges: learning robust homogeneous features (e.g., shared low- and mid-level cues) to enable cross-domain knowledge transfer, while disentangling heterogeneous features (e.g., task-specific semantic objectives) t...

Jin-Yu Han, Chang-Guang Wu, Fu-Ming Sun et al. · Proceedings of the Thirty-Fi... · 0 citations

Beyond Appearance: Camouﬂaged Object Detection via Geometric Structure

The Depth Segment Anything Model (DepthSAM), a MDE-adapted method speciﬁcally designed to mitigate this misalignment, achieves both robust semantic understanding in camouﬂaged environments and accurate segmentation of camouﬂaged objects.

Jinyu Han, Changguang Wu, Fuming Sun et al. · 1 citation