activity
20192026
most citedSpatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation

1 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

eess.IV2026

LM-PCVMNet: Pediatric Cervical Vertebral Maturation Analysis with Deep Fusion of Landmarks and Metadata

Peng Wang, Wanzhen Song, Anli Wang +3

Cervical vertebral maturation (CVM) assessment plays a pivotal role in orthodontic diagnosis and determining the optimal timing of treatment, especially for pediatric patients. In…

cs.CV2025

Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation

Zhenhuan Zhou, Yuchen Zhang, Along He +3

Root canal (RC) treatment is a highly delicate and technically complex procedure in clinical practice, heavily influenced by the clinicians' experience and subjective judgment. Dee…

eess.IV2024

Transformer for Multitemporal Hyperspectral Image Unmixing

Hang Li, Qiankun Dong, Xueshuo Xie +3

Multitemporal hyperspectral image unmixing (MTHU) holds significant importance in monitoring and analyzing the dynamic changes of surface. However, compared to single-temporal unmi…

cs.CV2024

ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers

Yanfeng Jiang, Ning Sun, Xueshuo Xie +2

Vision Transformers (ViTs) have exhibited exceptional performance across diverse computer vision tasks, while their substantial parameter size incurs significantly increased memory…

eess.IV2024★ 1 cited

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation

Zhenhuan Zhou, Along He, Yanlin Wu +3

In medical images, various types of lesions often manifest significant differences in their shape and texture. Accurate medical image segmentation demands deep learning models with…

cs.CR2024

Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices

Xueshuo Xie, Haoxu Wang, Zhaolong Jian +4

Edge intelligence enables resource-demanding Deep Neural Network (DNN) inference without transferring original data, addressing concerns about data privacy in consumer Internet of…