2 citations · 2 across the 5 of their papers we have counts for
5 papers
PairUni: Pairwise Training for Unified Multimodal Language Models
Jiani Zheng, Zhiyang Teng, Kunpeng Qiu +6
Unified Vision-Language Models (UVLMs) perform both understanding and generation within a single architecture. Since these models rely on heterogeneous data and supervision, balanc…
Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis
Kunpeng Qiu, Zhiying Zhou, Yongxin Guo
Medical image annotation is constrained by privacy concerns and labor-intensive labeling, significantly limiting the performance and generalization of segmentation models. While ma…
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
Kunpeng Qiu, Zhiqiang Gao, Zhiying Zhou +2
Deep learning has revolutionized medical image segmentation, yet its full potential remains constrained by the paucity of annotated datasets. While diffusion models have emerged as…
Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image Classification
Kunpeng Qiu, Zhiying Zhou, Yongxin Guo
Accurate lesion classification in Wireless Capsule Endoscopy (WCE) images is vital for early diagnosis and treatment of gastrointestinal (GI) cancers. However, this task is confron…
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy
Weichen Fan, Yuanbo Yang, Kunpeng Qiu +2
Domain Generalization is a challenging topic in computer vision, especially in Gastrointestinal Endoscopy image analysis. Due to several device limitations and ethical reasons, cur…