Publications

Publications

For a complete list of publications, please refer to Google Scholar.

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Journal

2023

[J1] Depth Super-Resolution from Explicit and Implicit High-Frequency Features
Xin Qiao, Chenyang Ge, Youmin Zhang, Yanhui Zhou, Fabio Tosi, Matteo Poggi, Stefano Mattoccia.
Computer Vision and Image Understanding (CVIU), 2023.

[Arxiv] [Code] [Bibtex]

@article{qiao2023depth,
  title={Depth Super-Resolution from Explicit and Implicit High-Frequency Features},
  author={Qiao, Xin and Ge, Chenyang and Zhang, Youmin and Zhou, Yanhui and Tosi, Fabio and Poggi, Matteo and Mattoccia, Stefano},
  journal={arXiv preprint arXiv:2303.09307},
  year={2023}
}

Conference

2023

[C7] GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction
Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi.
International Conference on Computer Vision (ICCV), 2023.

[Arxiv] [Video] [Project Page] [Code] [Bibtex]

@proceedings{zhang2023goslam,
    title     = {GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction},
    author    = {Zhang, Youmin and Tosi, Fabio and Mattoccia, Stefano and Poggi, Matteo},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023}
}

[C6] TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network
Youmin Zhang, Matteo Poggi, Stefano Mattoccia.
The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.

[Arxiv] [Project Page] [Video] [Code] [Bibtex]

@article{zhang2022temporalstereo,
  title={TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network},
  author={Zhang, Youmin and Poggi, Matteo and Mattoccia, Stefano},
  journal={arXiv preprint arXiv:2211.13755},
  year={2022}
}

[C5] CompletionFormer: Depth Completion with Convolutions and Vision Transformers
Youmin Zhang, Xianda Guo, Matteo Poggi, Zheng Zhu, Guan Huang, Stefano Mattoccia.
Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

[Arxiv] [Project Page] [Code] [Video] [Bibtex]

@inproceedings{zhang2023completionformer,
  title={Completionformer: Depth completion with convolutions and vision transformers},
  author={Zhang, Youmin and Guo, Xianda and Poggi, Matteo and Zhu, Zheng and Huang, Guan and Mattoccia, Stefano},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={18527--18536},
  year={2023}
}

2022

[C4] MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Chaoqiang Zhao*, Youmin Zhang*, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia.
International Conference on 3D Vision (3DV), 2022.

[Arxiv] [PDF] [Code] [Bibtex]

@inproceedings{monovit,
  title={MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer},
  author={Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo,Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia},
  booktitle={International Conference on 3D Vision},
  year={2022}
}

2021

[C3] Adaptive Beam Search Decoding for Discrete Keyphrase Generation
Xiaoli Huang, Tongge Xu, Lvan Jiao, Yueran Zu, Youmin Zhang.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021.
[PDF] [Code]

[C2] HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects
Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R Hancock.
Proceedings of 25th International Conference on Pattern Recognition (ICPR), 2021.
[Arxiv] [PDF]

2020

[C1] Adaptive unimodal cost volume filtering for deep stereo matching
Youmin Zhang, Yimin Chen*, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.

[Arxiv] [PDF] [Code] [Bibtex]

@inproceedings{zhang2020adaptive,
  title={Adaptive unimodal cost volume filtering for deep stereo matching},
  author={Zhang, Youmin and Chen, Yimin and Bai, Xiao and Yu, Suihanjin and Yu, Kun and Li, Zhiwei and Yang, Kuiyuan},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  number={07},
  pages={12926--12934},
  year={2020}
}