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Qingsong Yan
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2020 – today
- 2024
- [j4]Qingsong Yan
, Junhua Kang, Teng Xiao
MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application. Remote. Sens. 16(6): 964 (2024) - [j3]Xiaofeng Lu, Zichen Zhao, Weitao Ke, Qingsong Yan, Zhi Liu:
Young-gaze: an appearance-based gaze estimation solution for adolescents. Signal Image Video Process. 18(10): 7145-7155 (2024) - [c5]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng:
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. AAAI 2024: 6440-6448 - 2023
- [c4]Qingsong Yan
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. AAAI 2023: 3091-3099 - [i5]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng:
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. CoRR abs/2312.08760 (2023) - 2022
- [j2]Junxing Yang
Efficient Seamline Network Generation for Large-Scale Orthoimage Mosaicking. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c3]Qingsong Yan
SphereDepth: Panorama Depth Estimation from Spherical Domain. 3DV 2022: 1-10 - [c2]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. ECCV (31) 2022: 665-680 - [i4]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. CoRR abs/2203.03949 (2022) - [i3]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng:
SphereDepth: Panorama Depth Estimation from Spherical Domain. CoRR abs/2208.13714 (2022) - [i2]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng:
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. CoRR abs/2211.16905 (2022) - 2021
- [j1]Teng Xiao
Progressive Structure from Motion by Iteratively Prioritizing and Refining Match Pairs. Remote. Sens. 13(12): 2340 (2021) - [c1]Qiang Wang, Shizhen Zheng, Qingsong Yan
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation. ICME 2021: 1-6
2010 – 2019
- 2019
- [i1]Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu:
IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation. CoRR abs/1912.09678 (2019)
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