Yexin Liu

According to our database, Yexin Liu authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation.

Yexin Liu, Weiming Zhang, Guoyang Zhao, Jinjing Zhu, Athanasios V. Vasilakos, Lin Wang

IEEE Trans. Artif. Intell., October, 2024

GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation.

Weiming Zhang, Yexin Liu, Xu Zheng, Lin Wang

CoRR, 2024

Seeing Clearly, Answering Incorrectly: A Multimodal Robustness Benchmark for Evaluating MLLMs on Leading Questions.

Yexin Liu, Zhengyang Liang, Yueze Wang, Muyang He, Jian Li, Bo Zhao

CoRR, 2024

EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging.

Danli Shi, Weiyi Zhang, Xiaolan Chen, Yexin Liu, Jiancheng Yang, Siyu Huang, Yih Chung Tham, Yingfeng Zheng, Mingguang He

CoRR, 2024

Efficient Multimodal Large Language Models: A Survey.

Yizhang Jin, Jian Li, Yexin Liu, Tianjun Gu, Kai Wu, Zhengkai Jiang, Muyang He, Bo Zhao, Xin Tan, Zhenye Gan, Yabiao Wang, Chengjie Wang, Lizhuang Ma

CoRR, 2024

Evaluating large language models in medical applications: a survey.

Xiaolan Chen, Jiayang Xiang, Shanfu Lu, Yexin Liu, Mingguang He, Danli Shi

CoRR, 2024

Learning High-Quality Navigation and Zooming on Omnidirectional Images in Virtual Reality.

Zidong Cao, Zhan Wang, Yexin Liu, Yan-Pei Cao, Ying Shan, Wei Zeng, Lin Wang

CoRR, 2024

MYCloth: Towards Intelligent and Interactive Online T-Shirt Customization based on User's Preference.

Yexin Liu, Lin Wang

CoRR, 2024

Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment.

Yexin Liu, Weiming Zhang, Athanasios V. Vasilakos, Lin Wang

CoRR, 2024

GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation.

Weiming Zhang, Yexin Liu, Xu Zheng, Lin Wang

CoRR, 2024

SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model.

Bin Cao, Jianhao Yuan, Yexin Liu, Jian Li, Shuyang Sun, Jing Liu, Bo Zhao

CoRR, 2024

Efficient Multimodal Learning from Data-centric Perspective.

Muyang He, Yexin Liu, Boya Wu, Jianhao Yuan, Yueze Wang, Tiejun Huang, Bo Zhao

CoRR, 2024

GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-Aware Panoramic Semantic Segmentation.

Weiming Zhang, Yexin Liu, Xu Zheng, Lin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks.

Xu Zheng, Yexin Liu, Yunfan Lu, Tongyan Hua, Tianbo Pan, Weiming Zhang, Dacheng Tao, Lin Wang

CoRR, 2023

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation.

Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

FCP-Net: A Feature-Compression-Pyramid Network Guided by Game-Theoretic Interactions for Medical Image Segmentation.

Yexin Liu, Jian Zhou, Lizhu Liu, Zhengjia Zhan, Yueqiang Hu, Yongqing Fu, Huigao Duan

IEEE Trans. Medical Imaging, 2022

A novel MCF-Net: Multi-level context fusion network for 2D medical image segmentation.

Lizhu Liu, Yexin Liu, Jian Zhou, Cheng Guo, Huigao Duan

Comput. Methods Programs Biomed., 2022

2020

The Impacts of Technology Management on Product Innovation: The Role of Technological Capability.

Yexin Liu, Weiwei Wu, Yan Wang

IEEE Access, 2020

2019

Exploring the Different Combinations of Technological Capability and Technology Management Capability in Different Stages of New Product Development.

Yexin Liu, Weiwei Wu, Pengbin Gao, Kangjia Liu

IEEE Access, 2019