Jinyu Han

2 accepted papers

2026

Beyond Appearance: Camouflaged Object Detection via Geometric Structure

Jinyu Han, Changguang Wu, Fuming Sun, Jinhui Tang

CVPR 2026

Depth priors provide salient geometric structure that benefits camouflaged object detection (COD), but directly using Monocular Depth Estimation (MDE) causes a task misalignment that still fails to identify camouflaged objects.To address this issue, we propose the Depth Segment Anything Model (Depth

Cited by 0 Source ↗Scholar ↗

2026

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

Jinyu Han, Changguang Wu, Fuming Sun, Mengyin Wang, Jinhui Tang

IJCAI 2026

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 se

Cited by 0 Scholar ↗