44 citations · 122 across the 13 of their papers we have counts for
5 papers · 1 filter
Context Matters: Learning Global Semantics via Object-Centric Representation
Jike Zhong, Yuxiang Lai, Xiaofeng Yang +1
Recent advances in language modeling have witnessed the rise of highly desirable emergent capabilities, such as reasoning and in-context learning. However, vision models have yet t…
Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation
Biwen Lei, Yang Li, Xinhai Liu +97
The creation of high-quality 3D assets, a cornerstone of modern game development, has long been characterized by labor-intensive and specialized workflows. This paper presents Huny…
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
Mingzhe Hu, Yuheng Li, Xiaofeng Yang
Skin cancer is a prevalent and potentially fatal disease that requires accurate and efficient diagnosis and treatment. Although manual tracing is the current standard in clinics, a…
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT
Mingzhe Hu, Shaoyan Pan, Yuheng Li +1
In this paper, we aimed to provide a review and tutorial for researchers in the field of medical imaging using language models to improve their tasks at hand. We began by providing…
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions
Mingzhe Hu, Jiahan Zhang, Luke Matkovic +2
Motivation: Medical image analysis involves tasks to assist physicians in qualitative and quantitative analysis of lesions or anatomical structures, significantly improving the acc…