9 citations · 20 across the 9 of their papers we have counts for
5 papers · 1 filter
Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning
Zhenyu Zhang, Benlu Wang, Weijie Liang +5
With the development of multimodality and large language models, the deep learning-based technique for medical image captioning holds the potential to offer valuable diagnostic rec…
User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning
Xuan Wang, Guanhong Wang, Wenhao Chai +2
Image captioning bridges the gap between vision and language by automatically generating natural language descriptions for images. Traditional image captioning methods often overlo…
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame Selector
Qiqian Fu, Guanhong Wang, Gaoang Wang
In this paper, we present frame reconstruction model: FrameRS. It consists self-supervised video frame reconstructor and key frame selector. The frame reconstructor, FrameMAE, is d…
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Zhonghan Zhao, Wenhao Chai, Shengyu Hao +6
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive su…
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Enxin Song, Wenhao Chai, Guanhong Wang +10
Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks. Yet…