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Mengqi Ji 季梦奇
Mengqi Ji 季梦奇
Assoc. Prof.@BUAA; Post-doc@Tsinghua Univ.; Ph.D.@HKUST
Verified email at buaa.edu.cn - Homepage
Title
Cited by
Cited by
Year
SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis
M Ji, J Gall, H Zheng, Y Liu, L Fang
Proceedings of the IEEE International Conference on Computer Vision, 2307-2315, 2017
4152017
Crossnet: An end-to-end reference-based super resolution network using cross-scale warping
H Zheng, M Ji, H Wang, Y Liu, L Fang
Proceedings of the European conference on computer vision (ECCV), 88-104, 2018
2082018
Deep learning for surface material classification using haptic and visual information
H Zheng, L Fang, M Ji, M Strese, Y Özer, E Steinbach
IEEE Transactions on Multimedia 18 (12), 2407-2416, 2016
1172016
Learning Cross-scale Correspondence and Patch-based Synthesis for Reference-based Super-Resolution.
H Zheng, M Ji, L Han, Z Xu, H Wang, Y Liu, L Fang
BMVC 1, 2, 2017
602017
Local stereo matching with adaptive shape support window based cost aggregation
Y Xu, Y Zhao, M Ji
Applied optics 53 (29), 6885-6892, 2014
322014
A modular hierarchical array camera
X Yuan, M Ji, J Wu, DJ Brady, Q Dai, L Fang
Light: Science & Applications (Nature LSA, Cover Paper) 10 (1), 1-9, 2021
272021
A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics
Y Zheng*, Y Zhu*, M Ji, R Wang, X Liu, M Zhang, J Liu, X Zhang, CH Qin, ...
Cell Patterns 1 (6), 100092, 2020
262020
SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis
M Ji*, J Zhang*, Q Dai, L Fang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
262020
Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse autoencoder
M Ji, L Fang, H Zheng, M Strese, E Steinbach
2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015
222015
Regnet: Learning the optimization of direct image-to-image pose registration
L Han, M Ji, L Fang, M Nießner
arXiv preprint arXiv:1812.10212, 2018
202018
Augmenting Vascular Disease Diagnosis by Vasculature-aware Unsupervised Learning
Y WANG*, M JI*, S JIANG*, X WANG, J WU, F DUAN, J FAN, L HUANG, ...
Nature Machine Intelligence 2 (6), 337-346, 2020
152020
Learning high-level prior with convolutional neural networks for semantic segmentation
H Zheng, Y Liu, M Ji, F Wu, L Fang
arXiv preprint arXiv:1511.06988, 2015
112015
GigaMVS: a benchmark for ultra-large-scale gigapixel-level 3D reconstruction
J Zhang, J Zhang, S Mao, M Ji, G Wang, Z Chen, T Zhang, X Yuan, Q Dai, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7534 …, 2021
92021
EFENet: Reference-based video super-resolution with enhanced flow estimation
Y Zhao, M Ji, R Huang, B Wang, S Wang
Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021
92021
SurRF: Unsupervised multi-view stereopsis by learning surface radiance field
J Zhang, M Ji, G Wang, Z Xue, S Wang, L Fang
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7912 …, 2021
72021
Zoom in to the details of human-centric videos
G Li, Y Zhao, M Ji, X Yuan, L Fang
2020 IEEE International Conference on Image Processing (ICIP), 3089-3093, 2020
72020
SPI-Optimizer: An Integral-Separated PI Controller for Stochastic Optimization
D Wang*, M Ji*, Y Wang, H Wang, L Fang
2019 IEEE International Conference on Image Processing (ICIP), 2129-2133, 2019
72019
A comprehensive study on digital image matting
H Yang, OC Au, J Zeng, M Ji, Y Yuan, SP Jaiswal
2014 IEEE China Summit & International Conference on Signal and Information …, 2014
72014
Cross-camera deep colorization
Y Zhao, H Zheng, M Ji, R Huang
CAAI International Conference on Artificial Intelligence, 3-17, 2022
52022
Surface material perception through multimodal learning
S Mao, M Ji, B Wang, Q Dai, L Fang
IEEE Journal of Selected Topics in Signal Processing 16 (4), 843-853, 2022
52022
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