Yexin Liu

According to our database, Yexin Liu authored at least 31 papers between 2019 and 2025.

Collaborative distances:

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

2025

TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head Synthesis.

Shunian Chen, Hejin Huang, Yexin Liu, Zihan Ye, Pengcheng Chen, Chenghao Zhu, Michael Guan, Rongsheng Wang, Junying Chen, Guanbin Li, Ser-Nam Lim, Harry Yang, Benyou Wang

CoRR, August, 2025

OmniGen2: Exploration to Advanced Multimodal Generation.

Chenyuan Wu, Pengfei Zheng, Ruiran Yan, Shitao Xiao, Xin Luo, Yueze Wang, Wanli Li, Xiyan Jiang, Yexin Liu, Junjie Zhou, Ze Liu, Ziyi Xia, Chaofan Li, Haoge Deng, Jiahao Wang, Kun Luo, Bo Zhang, Defu Lian, Xinlong Wang, Zhongyuan Wang, Tiejun Huang, Zheng Liu

CoRR, June, 2025

Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study.

Xianghong Fang, Litao Guo, Hengchao Chen, Yuxuan Zhang, XiaofanXia, Dingjie Song, Yexin Liu, Hao Wang, Harry Yang, Yuan Yuan, Qiang Sun

CoRR, June, 2025

Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment.

Weiming Zhang, Dingwen Xiao, Aobotao Dai, Yexin Liu, Tianbo Pan, Shiqi Wen, Lei Chen, Lin Wang

CoRR, June, 2025

When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding.

Yan Shu, Hangui Lin, Yexin Liu, Yan Zhang, Gangyan Zeng, Yan Li, Yu Zhou, Ser-Nam Lim, Harry Yang, Nicu Sebe

CoRR, June, 2025

Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models.

Xuran Ma, Yexin Liu, Yaofu Liu, Xianfeng Wu, Mingzhe Zheng, Zihao Wang, Ser-Nam Lim, Harry Yang

CoRR, April, 2025

ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos.

Haolin Yang, Feilong Tang, Ming Hu, Yulong Li, Yexin Liu, Zelin Peng, Junjun He, Zongyuan Ge, Imran Razzak

CoRR, March, 2025

Temporal Regularization Makes Your Video Generator Stronger.

Harold Haodong Chen, Haojian Huang, Xianfeng Wu, Yexin Liu, Yajing Bai, Wenjie Shu, Harry Yang, Ser-Nam Lim

CoRR, March, 2025

LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization.

Xianfeng Wu, Yajing Bai, Haoze Zheng, Harold Haodong Chen, Yexin Liu, Zihao Wang, Xuran Ma, Wenjie Shu, Xianzu Wu, Harry Yang, Ser-Nam Lim

CoRR, March, 2025

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly.

Yexin Liu, Zhengyang Liang, Yueze Wang, Xianfeng Wu, Feilong Tang, Muyang He, Jian Li, Zheng Liu, Harry Yang, Sernam Lim, Bo Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.

Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation.

Mingzhe Zheng, Yongqi Xu, Haojian Huang, Xuran Ma, Yexin Liu, Wenjie Shu, Yatian Pang, Feilong Tang, Qifeng Chen, Harry Yang, Ser-Nam Lim

CoRR, 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