activity
20232025
most citedNurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding

4 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

High-Precision Climbing Robot Localization Using Planar Array UWB/GPS/IMU/Barometer Integration

Shuning Zhang, Zhanchen Zhu, Xiangyu Chen +4

To address the need for high-precision localization of climbing robots in complex high-altitude environments, this paper proposes a multi-sensor fusion system that overcomes the li…

eess.IV2024

MONICA: Benchmarking on Long-tailed Medical Image Classification

Lie Ju, Siyuan Yan, Yukun Zhou +4

Long-tailed learning is considered to be an extremely challenging problem in data imbalance learning. It aims to train well-generalized models from a large number of images that fo…

cs.CV2024

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Peng Xia, Ming Hu, Feilong Tang +6

Diabetic Retinopathy (DR), induced by diabetes, poses a significant risk of visual impairment. Accurate and effective grading of DR aids in the treatment of this condition. Yet exi…

eess.IV2024★ 1 cited

Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification

Ming Hu, Siyuan Yan, Peng Xia +5

Deep learning-based diagnostic systems have demonstrated potential in skin disease diagnosis. However, their performance can easily degrade on test domains due to distribution shif…

cs.CV2023★ 1 cited

HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding

Peng Xia, Xingtong Yu, Ming Hu +4

Object categories are typically organized into a multi-granularity taxonomic hierarchy. When classifying categories at different hierarchy levels, traditional uni-modal approaches…

cs.CV2023★ 4 cited

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding

Ming Hu, Lin Wang, Siyuan Yan +7

The application of deep learning to nursing procedure activity understanding has the potential to greatly enhance the quality and safety of nurse-patient interactions. By utilizing…