华中科技大学主页平台管理系统 Bai Xiang--英文主页--Paper Publications

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Bai Xiang

Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates

Professional Title:Professor
Gender:Male
Status:Employed
Department:School of Software Engineering
Education Level:Postgraduate (Doctoral)
Degree:Doctoral Degree in Engineering
Alma Mater:华中科技大学

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Paper Publications 英文主页 >> Scientific Research >> Paper Publications: Y. Liu et al. TextMonkey: An OCR-free large multimodal model for understanding document.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),2026,

D. Liang et al. Parameter-efficient fine-tuning in spectral domain for point cloud learning.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),2025,

W. Yu et al. Omniparser v2: Structured-points-of-thought for unified visual text parsing and its generality to multimodal large language models.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),2026,

J. Wu et al. Liquid: Language models are scalable and unified multi-modal generators.International Journal of Computer Vision (IJCV),

H. Wang et al. Partial Scene Text Retrieval.IEEE Transactions on Patten Analysis and Machine Intelligence (PAMI),2025,

H. Guan et al. Deciphering oracle bone language with diffusion models..The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Best Paper Award),

J. Wu et al. General object foundation model for images and videos at scale.IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024,

Z. Li, B. Yang et al. Monkey: Image Resolution and Text Label are important things for Large Multi-modal Models.IEEE/CVF Conference on Computer Vision and Pattern recognition (CVPR), 2024,

W. Yu et al. Turning a clip model into a scene text spotter.IEEE Transactions on Pattern Analyisis and Machine Intelligence, accepted.,

Yuliang Liu et al. SPTS v2: Single-Point Scene Text Spotting.IEEE Transactions on Patten Analysis and Machine Intelligence (PAMI), accepted.,

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