Yuanhuiyi Lyu

According to our database, Yuanhuiyi Lyu authored at least 26 papers between 2023 and 2025.

Collaborative distances:

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

2025

MLLMs are Deeply Affected by Modality Bias.

Xu Zheng, Chenfei Liao, Yuqian Fu, Kaiyu Lei, Yuanhuiyi Lyu, Lutao Jiang, Bin Ren, Jialei Chen, Jiawen Wang, Chengxin Li, Linfeng Zhang, Danda Pani Paudel, Xuanjing Huang, Yu-Gang Jiang, Nicu Sebe, Dacheng Tao, Luc Van Gool, Xuming Hu

CoRR, May, 2025

Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?

Zihao Dongfang, Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Danda Pani Paudel, Luc Van Gool, Kailun Yang, Xuming Hu

CoRR, May, 2025

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization.

Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Danda Pani Paudel, Luc Van Gool, Xuming Hu

CoRR, May, 2025

DiMeR: Disentangled Mesh Reconstruction Model.

Lutao Jiang, Jiantao Lin, Kanghao Chen, Wenhang Ge, Xin Yang, Yifan Jiang, Yuanhuiyi Lyu, Xu Zheng, Yingcong Chen

CoRR, April, 2025

Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook.

Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Lutao Jiang, Haiwei Xue, Bin Ren, Danda Pani Paudel, Nicu Sebe, Luc Van Gool, Xuming Hu

CoRR, March, 2025

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation.

Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu

CoRR, March, 2025

From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers.

Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Junjie Chen, Linfeng Zhang

CoRR, March, 2025

MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation.

Chenfei Liao, Xu Zheng, Yuanhuiyi Lyu, Haiwei Xue, Yihong Cao, Jiawen Wang, Kailun Yang, Xuming Hu

CoRR, March, 2025

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning.

Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu

CoRR, February, 2025

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.

Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models.

Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection.

Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Jiazhou Zhou, Lin Wang, Xuming Hu

CoRR, 2024

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.

Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu

CoRR, 2024

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation.

Xu Zheng, Haiwei Xue, Jialei Chen, Yibo Yan, Lutao Jiang, Yuanhuiyi Lyu, Kailun Yang, Linfeng Zhang, Xuming Hu

CoRR, 2024

EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More.

Xu Zheng, Ling Wang, Kanghao Chen, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang

CoRR, 2024

OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All.

Yuanhuiyi Lyu, Xu Zheng, Dahun Kim, Lin Wang

CoRR, 2024

ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More.

Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang

CoRR, 2024

UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All.

Yuanhuiyi Lyu, Xu Zheng, Jiazhou Zhou, Lin Wang

CoRR, 2024

Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation.

Yuanhuiyi Lyu, Xu Zheng, Lin Wang

CoRR, 2024

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera.

Jiahang Cao, Xu Zheng, Yuanhuiyi Lyu, Jiaxu Wang, Renjing Xu, Lin Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EventBind: Learning a Unified Representation to Bind Them All for Event-Based Open-World Understanding.

Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Centering the Value of Every Modality: Towards Efficient and Resilient Modality-Agnostic Semantic Segmentation.

Xu Zheng, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Modality-Agnostic Representation for Semantic Segmentation from Any Modalities.

Xu Zheng, Yuanhuiyi Lyu, Lin Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

ExACT: Language-Guided Conceptual Reasoning and Uncertainty Estimation for Event-Based Action Recognition and More.

Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang

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

UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All.

Yuanhuiyi Lyu, Xu Zheng, Jiazhou Zhou, Lin Wang

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

2023

E-CLIP: Towards Label-efficient Event-based Open-world Understanding by CLIP.

Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang

CoRR, 2023