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2020 – today
- 2024
[i3]Pengyuan Lyu, Yulin Li, Hao Zhou, Weihong Ma, Xingyu Wan, Qunyi Xie, Liang Wu, Chengquan Zhang, Kun Yao, Errui Ding, Jingdong Wang:
StrucTexTv3: An Efficient Vision-Language Model for Text-rich Image Perception, Comprehension, and Beyond. CoRR abs/2405.21013 (2024)- 2023
- [c4]Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia:
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding. IJCAI 2023: 5269-5277 - [i2]Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia:
Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding. CoRR abs/2305.11392 (2023) - [i1]Beiya Dai, Xing li, Qunyi Xie, Yulin Li, Xiameng Qin, Chengquan Zhang, Kun Yao, Junyu Han:
MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary. CoRR abs/2307.12571 (2023)
2010 – 2019
- 2018
- [j3]Hongqing Zhu, Qunyi Xie:
Content-based image retrieval using student's t-mixture model and constrained multiview nonnegative matrix factorization. Multim. Tools Appl. 77(11): 14207-14239 (2018) - [j2]Hongqing Zhu, Qunyi Xie:
A multiphase level set formulation for image segmentation using a MRF-based nonsymmetric Student's-t mixture model. Signal Image Video Process. 12(8): 1577-1585 (2018) - 2017
- [j1]Hongqing Zhu
, Xu Pan, Qunyi Xie:
Merging Student's-t and Rayleigh distributions regression mixture model for clustering time-series. Neurocomputing 266: 247-262 (2017) - 2016
- [c3]Qunyi Xie, Zhuyan Zhang, Xu Pan, Hongqing Zhu:
fMRI time-series clustering using a mixture of mixtures of Student's-t and Rayleigh distributions. EUSIPCO 2016: 2035-2039 - [c2]Qunyi Xie, Xu Pan, Hongqing Zhu:
A multiphase level set clustering approach using MRF-based Student's-t mixture model. WCSP 2016: 1-5 - 2015
- [c1]Xu Pan, Hongqing Zhu, Qunyi Xie:
A robust nonsymmetric student's-t finite mixture model for MR image segmentation. ICIP 2015: 1830-1834
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