TexVocab: Texture Vocabulary-conditioned Human Avatars

no code implementations • 31 Mar 2024 • Yuxiao Liu, Zhe Li, Yebin Liu, Haoqian Wang

To adequately utilize the available image evidence in multi-view video-based avatar modeling, we propose TexVocab, a novel avatar representation that constructs a texture vocabulary and associates body poses with texture maps for animation.

Human Dynamics

CLIP in Medical Imaging: A Comprehensive Survey

1 code implementation • 12 Dec 2023 • Zihao Zhao, Yuxiao Liu, Han Wu, Yonghao Li, Sheng Wang, Lin Teng, Disheng Liu, Zhiming Cui, Qian Wang, Dinggang Shen

With the aim of facilitating a deeper understanding of this promising direction, this survey offers an in-depth exploration of the CLIP paradigm within the domain of medical imaging, regarding both refined CLIP pre-training and CLIP-driven applications.

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

no code implementations • 8 Oct 2023 • Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang

Radiology report generation, as a key step in medical image analysis, is critical to the quantitative analysis of clinically informed decision-making levels.

Decision Making Language Modelling +1

Evaluating Large Language Models for Radiology Natural Language Processing

1 code implementation • 25 Jul 2023 • Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu

The rise of large language models (LLMs) has marked a pivotal shift in the field of natural language processing (NLP).

PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling

1 code implementation • 25 Apr 2023 • Zhe Li, Zerong Zheng, Yuxiao Liu, Boyao Zhou, Yebin Liu

To this end, we present PoseVocab, a novel pose encoding method that encourages the network to discover the optimal pose embeddings for learning the dynamic human appearance.

DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

1 code implementation • 3 Apr 2023 • Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Linlin Huang, Qian Wang, Dinggang Shen

The recent progress of large language models (LLMs), including ChatGPT and GPT-4, in comprehending and responding to human instructions has been remarkable.

3D Face Arbitrary Style Transfer

no code implementations • 14 Mar 2023 • Xiangwen Deng, Yingshuang Zou, Yuanhao Cai, Chendong Zhao, Yang Liu, Zhifang Liu, Yuxiao Liu, Jiawei Zhou, Haoqian Wang

To solve this problem, we propose a novel method, namely Face-guided Dual Style Transfer (FDST).

Face Reconstruction Style Transfer

Bounding Regression Errors in Data-driven Power Grid Steady-state Models

no code implementations • 30 Oct 2019 • Yuxiao Liu, Bolun Xu, Audun Botterud, Ning Zhang, Chongqing Kang

Results identify how the bounds decrease with additional power grid physical knowledge or more training data.

regression