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Zhipeng Mo
Zhipeng Mo
Mercedes-Benz Research & Development North America
Подтвержден адрес электронной почты в домене mercedes-benz.com
Название
Процитировано
Процитировано
Год
A benchmark dataset and evaluation for non-lambertian and uncalibrated photometric stereo
B Shi, Z Wu, Z Mo, D Duan, SK Yeung, P Tan
Proceedings of the IEEE conference on computer vision and pattern …, 2016
3452016
Open-set person re-identification
S Liao, Z Mo, J Zhu, Y Hu, SZ Li
arXiv preprint arXiv:1408.0872, 2014
562014
Uncalibrated photometric stereo under natural illumination
Z Mo, B Shi, F Lu, SK Yeung, Y Matsushita
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2018
402018
Patch-based uncalibrated photometric stereo under natural illumination
H Guo, Z Mo, B Shi, F Lu, SK Yeung, P Tan, Y Matsushita
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7809 …, 2021
172021
A method of illumination effect transfer between images using color transfer and gradient fusion
Y Zhang, T Zhao, Z Mo, W Li
2013 Asia-Pacific Signal and Information Processing Association Annual …, 2013
82013
Radiometric calibration for internet photo collections
Z Mo, B Shi, SK Yeung, Y Matsushita
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
62017
Ambiguity-free radiometric calibration for internet photo collections
Z Mo, B Shi, SK Yeung, Y Matsushita
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (7), 1670-1684, 2019
52019
An adaptive-weight hybrid relevance feedback approach for content based image retrieval
Y Zhang, W Li, Z Mo, T Zhao, J Zhang
2013 IEEE International Conference on Image Processing, 3977-3981, 2013
32013
A user-driven model for Content-based image retrieval
Y Zhang, Z Mo, W Li, T Zhao
Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012
12012
Unified Srgb Real Noise Synthesizing with Adaptive Feature Modulation
W Li, Z Mo, Y Shen, H Jin
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Implicit Relevance Feedback for Content-Based Image Retrieval by Mining User Browsing Behaviors and Estimating Preference
W Dai, W Li, Z Mo, T Zhao
Lecture Notes on Software Engineering 1 (4), 334, 2013
2013
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Статьи 1–11