activity
20202026
most citedROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model

14 citations · 14 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Disentangled Fine-Grained Prototype Learning for Incomplete Image-Tabular Classification

Feixiang Zhou, Jianyang Xie, Zhuangzhi Gao +10

The missing-modality problem poses a significant challenge in image-tabular multimodal learning across a wide range of multimedia applications, including product understanding, rec…

cs.CV2025

A Frequency-Aware Self-Supervised Learning for Ultra-Wide-Field Image Enhancement

Weicheng Liao, Zan Chen, Jianyang Xie +3

Ultra-Wide-Field (UWF) retinal imaging has revolutionized retinal diagnostics by providing a comprehensive view of the retina. However, it often suffers from quality-degrading fact…

cs.CV2025

GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation

Feixiang Zhou, Zhuangzhi Gao, He Zhao +5

Accurate segmentation of tubular structures, such as vascular networks, plays a critical role in various medical domains. A remaining significant challenge in this task is structur…

cs.CV2025

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

Qinkai Yu, Jianyang Xie, Yitian Zhao +7

Multimodal ophthalmic imaging-based diagnosis integrates color fundus image with optical coherence tomography (OCT) to provide a comprehensive view of ocular pathologies. However,…

cs.CV2025

Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?

Jianyang Xie, Yitian Zhao, Yanda Meng +3

Spatial-temporal graph convolutional networks (ST-GCNs) showcase impressive performance in skeleton-based human action recognition (HAR). However, despite the development of numero…

cs.CV2024

CathAction: A Benchmark for Endovascular Intervention Understanding

Baoru Huang, Tuan Vo, Chayun Kongtongvattana +35

Real-time visual feedback from catheterization analysis is crucial for enhancing surgical safety and efficiency during endovascular interventions. However, existing datasets are of…

cs.CV2024

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting

Qinkai Yu, Jianyang Xie, Anh Nguyen +6

Diabetic retinopathy (DR) is a complication of diabetes and usually takes decades to reach sight-threatening levels. Accurate and robust detection of DR severity is critical for th…