2 citations · 2 across the 6 of their papers we have counts for
5 papers · 1 filter
GFR-SAM: Training-Free Referring Camouflaged Object Segmentation via Cross-Image Prompting
Yilong Yang, Jianxin Tian, Shengchuan Zhang +1
Referring Camouflaged Object Detection (Ref-COD) requires segmenting hidden targets guided by reference cues. While supervised methods are annotation-heavy and training-free approa…
Discover, Segment, and Select: A Progressive Mechanism for Zero-shot Camouflaged Object Segmentation
Yilong Yang, Jianxin Tian, Shengchuan Zhang +1
Current zero-shot Camouflaged Object Segmentation methods typically employ a two-stage pipeline (discover-then-segment): using MLLMs to obtain visual prompts, followed by SAM segme…
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks
Marcel Beetz, Yilong Yang, Abhirup Banerjee +2
Myocardial infarction (MI) is one of the most prevalent cardiovascular diseases with associated clinical decision-making typically based on single-valued imaging biomarkers. Howeve…
Rotation-Scale Equivariant Steerable Filters
Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi
Incorporating either rotation equivariance or scale equivariance into CNNs has proved to be effective in improving models' generalization performance. However, jointly integrating…
Scale-Equivariant UNet for Histopathology Image Segmentation
Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi
Digital histopathology slides are scanned and viewed under different magnifications and stored as images at different resolutions. Convolutional Neural Networks (CNNs) trained on s…