activity
20202026
most citedContrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

223 citations · 353 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.CV2024

Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space

Yuan Wang, Zhao Wang, Junhao Gong +8

In this paper, we introduce a novel path to human motion generation by focusing on 2D space. Traditional methods have primarily generated human motions in 3D, wh…

cs.CV2024

Grounded Knowledge-Enhanced Medical Vision-Language Pre-training for Chest X-Ray

Qiao Deng, Zhongzhen Huang, Yunqi Wang +6

Medical foundation models have the potential to revolutionize healthcare by providing robust and generalized representations of medical data. Medical vision-language pre-training h…

cs.CV2024★ 1 cited

Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization

Zhao Wang, Aoxue Li, Fengwei Zhou +2

Classical object detectors are incapable of detecting novel class objects that are not encountered before. Regarding this issue, Open-Vocabulary Object Detection (OVOD) is proposed…

cs.CV2024

Efficient Transferability Assessment for Selection of Pre-trained Detectors

Zhao Wang, Aoxue Li, Zhenguo Li +1

Large-scale pre-training followed by downstream fine-tuning is an effective solution for transferring deep-learning-based models. Since finetuning all possible pre-trained models i…

cs.CV2024★ 4 cited

EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting

Lingting Zhu, Zhao Wang, Jiahao Cui +3

Surgical 3D reconstruction is a critical area of research in robotic surgery, with recent works adopting variants of dynamic radiance fields to achieve success in 3D reconstruction…

cs.CV2024★ 4 cited

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects

Zhao Wang, Aoxue Li, Lingting Zhu +3

Customized text-to-video generation aims to generate high-quality videos guided by text prompts and subject references. Current approaches for personalizing text-to-video generatio…