24 citations · 67 across the 12 of their papers we have counts for
9 papers · 1 filter
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Xinzi Cao, Xiawu Zheng, Guanhong Wang +5
Generalized Category Discovery (GCD) aims to identify a mix of known and novel categories within unlabeled data sets, providing a more realistic setting for image recognition. Esse…
Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process
Tianyu Lin, Zhiguang Chen, Zhonghao Yan +2
Diffusion models have demonstrated their effectiveness across various generative tasks. However, when applied to medical image segmentation, these models encounter several challeng…
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning
Fudan Zheng, Jindong Cao, Weijiang Yu +3
Most advances in medical image recognition supporting clinical auxiliary diagnosis meet challenges due to the low-resource situation in the medical field, where annotations are hig…
Intensive Vision-guided Network for Radiology Report Generation
Fudan Zheng, Mengfei Li, Ying Wang +5
Automatic radiology report generation is booming due to its huge application potential for the healthcare industry. However, existing computer vision and natural language processin…
Hybrid Reasoning Network for Video-based Commonsense Captioning
Weijiang Yu, Jian Liang, Lei Ji +4
The task of video-based commonsense captioning aims to generate event-wise captions and meanwhile provide multiple commonsense descriptions (e.g., attribute, effect and intention)…
Deep Animation Video Interpolation in the Wild
Li Siyao, Shiyu Zhao, Weijiang Yu +4
In the animation industry, cartoon videos are usually produced at low frame rate since hand drawing of such frames is costly and time-consuming. Therefore, it is desirable to devel…
Heterogeneous Graph Learning for Visual Commonsense Reasoning
Weijiang Yu, Jingwen Zhou, Weihao Yu +2
Visual commonsense reasoning task aims at leading the research field into solving cognition-level reasoning with the ability of predicting correct answers and meanwhile providing c…
Layout-Graph Reasoning for Fashion Landmark Detection
Weijiang Yu, Xiaodan Liang, Ke Gong +3
Detecting dense landmarks for diverse clothes, as a fundamental technique for clothes analysis, has attracted increasing research attention due to its huge application potential. H…
Gradual Network for Single Image De-raining
Zhe Huang, Weijiang Yu, Wayne Zhang +2
Most advances in single image de-raining meet a key challenge, which is removing rain streaks with different scales and shapes while preserving image details. Existing single image…