3 papers
cs.CV2026
Retinal Layer Segmentation in OCT Images With 2.5D Cross-slice Feature Fusion Module for Glaucoma Assessment
Hyunwoo Kim, Heesuk Kim, Wungrak Choi +1
For accurate glaucoma diagnosis and monitoring, reliable retinal layer segmentation in OCT images is essential. However, existing 2D segmentation methods often suffer from slice-to…
cs.CV2026
DepthTCM: High Efficient Depth Compression via Physics-aware Transformer-CNN Mixed Architecture
Young-Seo Chang, Yatong An, Jae-Sang Hyun
We propose DepthTCM, a physics-aware end-to-end framework for depth map compression. In our framework of DepthTCM, the high-bit depth map is first converted to a conventional 3-cha…
cs.CV2026
Event-based Photometric Stereo via Rotating Illumination and Per-Pixel Learning
Hyunwoo Kim, Won-Hoe Kim, Sanghoon Lee +3
Photometric stereo is a technique for estimating surface normals using images captured under varying illumination. However, conventional frame-based photometric stereo methods are…