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A neural active reconstruction system with uncertainty learning for high-fidelity surface reconstruction:
- Ziyue Feng, Huangying Zhan, Zheng Chen, Qingan Yan, Xiangyu Xu, Changjiang Cai, Bing Li, Qilun Zhu, Yi Xu, "
NARUTO: Neural Active Reconstruction from Uncertain Target Observations
",
in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2024) , Seattle, US, Jun. 2024.
[Project Page],
[Code],
[Video],
[Poster].
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A “Learning-to-optimize” Paradigm for MVS Depth Estimation:
- Changjiang Cai, Pan Ji, Qingan Yan, Yi Xu, "
RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
",
in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2023) , Vancouver, Canada, Jun. 2023.
[Project Page],
[Code],
[Video],
[Poster],
[Slides].
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Plane Reconsturction from MVS:
- Jiachen Liu, Pan Ji, Nitin Bansal, Changjiang Cai, Qingan Yan, Xiaolei Huang, Yi Xu, "
PlaneMVS: 3D Plane Reconstruction from Multi-View Stere
",
in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2022) , New Orleans, USA, Jun. 2022.
[Project Page],
[Code],
[Video],
[Poster],
[Slide].
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Deep Adaptive Filtering Stereo Networks (DAF-Nets):
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Domain-invariant Matching-space Stereo Networks (MS-Nets):
- Changjiang Cai, Matteo Poggi, Stefano Mattoccia, Philippos Mordohai, "
Matching-space Stereo Networks for Cross-domain Generalization
",
in International Conference on 3D Vision (3DV'2020) , Fukuoka, Japan, Nov. 2020.
[Code],
[Video],
[Poster],
[Slides],
[Supp-video-MSGCNet],
[Supp-video-MSPSMNet].
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RGB-D Human Mesh Recovery:
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Cost Volume for Disparity Estimation:
- Konstantinos Batsos, Changjiang Cai, Philippos Mordohai, " CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation
",
in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2018) , Salt Lake City, Utah, USA, June 2018.
[Code],
[Supp],
[Video],
[Poster].
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Pairwise Ranking Aggregation by Non-interactive Crowdsourcing with Budget Constraints:
- Changjiang Cai, Haipei Sun, Boxiang Dong, Bo Zhang, Ting Wang, Hui Wang, " Pairwise Ranking Aggregation by Non-interactive Crowdsourcing with Budget Constraints
",
in the 37th IEEE International Conference on Distributed Computing (ICDCS'2017) , Atlanta, GA, USA, June 2017.
[Code],
[LongPaper].
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Epitome Transform Coding: Towards Joint Compression of Images:
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Design and 3D Modeling of an Assistive Robot:
- Changjiang Cai, directed by Prof. Renping Shao, at Northwestern Polytechnical University (NWPU), Xi'an, China, " Bachelor Thesis Project
".
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