2 citations · 2 across the 8 of their papers we have counts for
10 papers · 1 filter
MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis
Jianhao Xie, Ziang Zhang, Zhenyu Weng +2
Recent advancements in deep learning for medical image segmentation are often limited by the scarcity of high-quality training data.While diffusion models provide a potential solut…
Federated Learning for Medical Image Classification: A Comprehensive Benchmark
Zhekai Zhou, Guibo Luo, Mingzhi Chen +2
The federated learning paradigm is wellsuited for the field of medical image analysis, as it can effectively cope with machine learning on isolated multicenter data while protectin…
FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking
Rongzihan Song, Zhenyu Weng, Huiping Zhuang +3
Multiple object tracking (MOT) involves identifying multiple targets and assigning them corresponding IDs within a video sequence, where occlusions are often encountered. Recent me…
Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition
Yuqing Wang, Zhenyu Weng, Zhaokun Zhou +3
Over the past years, Printed Mathematical Expression Recognition (PMER) has progressed rapidly. However, due to the insufficient context information captured by Convolutional Neura…
POAR: Towards Open Vocabulary Pedestrian Attribute Recognition
Yue Zhang, Suchen Wang, Shichao Kan +3
Pedestrian attribute recognition (PAR) aims to predict the attributes of a target pedestrian in a surveillance system. Existing methods address the PAR problem by training a multi-…
Region-aware Attention for Image Inpainting
Zhilin Huang, Chujun Qin, Zhenyu Weng +1
Recent attention-based image inpainting methods have made inspiring progress by modeling long-range dependencies within a single image. However, they tend to generate blurry conten…