End-to-end Projector Photometric Compensation
Comments To appear in the 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Source code and dataset are available at https://github.com/BingyaoHuang/compennet
期刊&会议
Conference on Computer Vision and Pattern Recognition · 会议 · Computer Vision
Comments To appear in the 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Source code and dataset are available at https://github.com/BingyaoHuang/compennet
Comments This work is accepted in CVPR 2020. The source code and pre-trained model are available on https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020. 12 pages, 10 figures
Comments Accepted by CVPR 2020
Comments 8 pages, 11 figures, Accepted in CVPR 2020
Comments Accepted to CVPR 2020
Comments Accepted to CVPR 2020
Comments CVPR 2019
Comments Accepted to CVPR 2020
Comments Accepted to Proc. IEEE Conf. Comp. Vis. Pattern Recogn. (CVPR) 2020
Journal ref CVPR 2020
Comments 9 pages, 9 figures, accepted by CVPR-2020
Comments Accepted for publication at CVPR 2020
Comments Accepted by CVPR 2019
Comments Oral presentation at the 2019 SUMO Workshop on 360° Indoor Scene Understanding and Modeling at CVPR2019, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2019
Comments The paper was published by the proceedings of IEEE CVPR 2019
Comments 18 pages, 18 figures, submitted to Transactions on Pattern Analysis and Machine Intelligence (TPAMI) on the 9th of October as an extension paper of the original oral CVPR paper : arXiv:1903.03785
Comments CVPR 2019
Comments CVPR 2019 (Oral)
Comments 6 pages, 5 figures, accepted at CVPR 2019 workshop on Computer Vision Applications for Mixed Reality Headsets (https://docs.microsoft.com/en-us/windows/mixed-reality/cvpr-2019)
Comments Journal(PAMI) version of DenseNet(CVPR'17)
Comments 10 pages,17 figures, CVPR 2020 underreview
Comments Presented at CVPR 2019 Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems
Comments CVPR 2019; The codes and model of our MTOR are publicly available at: https://github.com/caiqi/mean-teacher-cross-domain-detection
Comments Presented at the Visual Question Answering and Dialog Workshop, CVPR 2019, Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1912.10131
Comments Kaggle competition website: https://www.kaggle.com/c/cassava-disease/overview, CVPR fine-grained visual categorization website: https://sites.google.com/view/fgvc6
Comments This work is an extension of CVPR-2018 accepted paper arXiv:1804.00298 and EMNLP-2018 accepted paper arXiv:1808.03986
Comments this article is an extension of arXiv:1811.09461, which was published at CVPR 2019
Comments CVPR 2019
Comments CVPR 2019
Comments Accepted as CVPR 2019 Oral. Source code available at https://github.com/wzzheng/HDML