Yonghui Wang's Homepage - 中国科学技术大学

Yonghui Wang (王勇惠)

I am currently a 3rd-year Ph.D. student at University of Science and Technology of China (USTC), supervised by Prof. Houqiang Li and Prof. Wengang Zhou . Before that, I received my Bachelor degree from Ocean University of China (OUC) in 2021.

My research interests are about computer vision and deep learning, especially on multimodal large language models.

Publications (* indicates equal contribution)

	ROOT: VLM based System for Indoor Scene Understanding and Beyond Yonghui Wang, Shi-Yong Chen, Zhenxing Zhou, Siyi Li, Haoran Li, Wengang Zhou, Houqiang Li arXiv, 2024 [paper] [code]
	AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene Understanding Yonghui Wang, Wengang Zhou, Hao Feng, Houqiang Li arXiv, 2024 [paper] [code]
	Towards improving document understanding: An exploration on text-grounding via mllms Yonghui Wang, Wengang Zhou, Hao Feng, Keyi Zhou, Houqiang Li arXiv, 2023 [paper] [code]
	SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection Yonghui Wang, Shaokai Liu, Li Li, Wengang Zhou, Houqiang Li ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), 2024 [paper] [code]
	Detect Any Shadow: Segment Anything for Video Shadow Detection Yonghui Wang, Wengang Zhou, Yunyao Mao, Houqiang Li IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023 [paper] [code]
	Progressive Recurrent Network for shadow removal Yonghui Wang, Wengang Zhou, Hao Feng, Li Li, Houqiang Li Computer Vision and Image Understanding (CVIU), 2023 [paper] [code]
	UDoc-GAN: Unpaired Document Illumination Correction with Background Light Prior Yonghui Wang, Wengang Zhou, Zhenbo Lu, Houqiang Li 30th ACM International Conference on Multimedia (ACM MM), 2022 [paper] [code]

	TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding Bozhi Luan, Hao Feng, Hong Chen, Yonghui Wang, Wengang Zhou, Houqiang Li arXiv, 2024 [paper] [code]
	LaneTCA: Enhancing Video Lane Detection with Temporal Context Aggregation Keyi Zhou, Li Li, Wengang Zhou, Yonghui Wang, Hao Feng, Houqiang Li arXiv, 2024 [paper] [code]

[2024/05 ~ now] Research Intern, Game AI Center, Tencent IEG (Mentor: Shi-Yong Chen).