activity
20222024
most citedHandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images

11 citations · 23 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CV2024

Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images

Minghao Han, Xukun Zhang, Dingkang Yang +4

Survival prediction is a complex ordinal regression task that aims to predict the survival coefficient ranking among a cohort of patients, typically achieved by analyzing patients'…

cs.CV20241 cited

Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models

Jiawei Chen, Dingkang Yang, Yue Jiang +4

In the realm of Medical Visual Language Models (Med-VLMs), the quest for universal efficient fine-tuning mechanisms remains paramount, especially given researchers in interdiscipli…

cs.CV2024

De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts

Yuzheng Wang, Dingkang Yang, Zhaoyu Chen +5

Data-Free Knowledge Distillation (DFKD) is a promising task to train high-performance small models to enhance actual deployment without relying on the original training data. Exist…

cs.CV202411 cited

HandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images

Shuaibing Wang, Shunli Wang, Dingkang Yang +4

We propose a robust and accurate method for reconstructing 3D hand mesh from monocular images. This is a very challenging problem, as hands are often severely occluded by objects.…

cs.CV2024

Delving into Decision-based Black-box Attacks on Semantic Segmentation

Zhaoyu Chen, Zhengyang Shan, Jingwen Chang +4

Semantic segmentation is a fundamental visual task that finds extensive deployment in applications with security-sensitive considerations. Nonetheless, recent work illustrates the…

cs.CV20232 cited

CPR-Coach: Recognizing Composite Error Actions based on Single-class Training

Shunli Wang, Qing Yu, Shuaibing Wang +7

The fine-grained medical action analysis task has received considerable attention from pattern recognition communities recently, but it faces the problems of data and algorithm sho…