Xing Liu
Xing Liu
Research Assistant Professor, Tohoku University
確認したメール アドレス: vision.is.tohoku.ac.jp
タイトル
引用先
引用先
Dual residual networks leveraging the potential of paired operations for image restoration
X Liu, M Suganuma, Z Sun, T Okatani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
502019
Attention-based adaptive selection of operations for image restoration in the presence of unknown combined distortions
M Suganuma, X Liu, T Okatani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
272019
Integrating deep features for material recognition
Y Zhang, M Ozay, X Liu, T Okatani
2016 23rd International Conference on Pattern Recognition (ICPR), 3697-3702, 2016
162016
Feature quantization for defending against distortion of images
Z Sun, M Ozay, Y Zhang, X Liu, T Okatani
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
152018
Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets
Y Bai, J Hu, J Su, X Liu, H Liu, X He, S Meng, E Mas, S Koshimura
Remote Sensing 12 (24), 4055, 2020
32020
Removal of Image Obstacles for Vehicle-mounted Surrounding Monitoring Cameras by Real-time Video Inpainting
Y Hirohashi, K Narioka, M Suganuma, X Liu, Y Tamatsu, T Okatani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
22020
Restoring images with unknown degradation factors by recurrent use of a multi-branch network
X Liu, M Suganuma, X Luo, T Okatani
arXiv preprint arXiv:1907.04508, 2019
22019
Joint Learning of Multiple Image Restoration Tasks
X Liu, M Suganuma, T Okatani
arXiv preprint arXiv:1907.04508, 2019
12019
Learning Deep Representations of Objects and Materials for Material Recognition
X Liu, M Ozay, Y Zhang, T Okatani
Journal of Vision 16 (12), 177-177, 2016
12016
Pushing the Envelope of Thin Crack Detection
L Xu, T Hatsutani, X Liu, E Techapanurak, H Zou, T Okatani
arXiv preprint arXiv:2101.03326, 2021
2021
Evaluating Artificial Systems for Pairwise Ranking Tasks Sensitive to Individual Differences
X Liu, T Okatani
arXiv preprint arXiv:1905.13560, 2019
2019
Improving Generalization Ability of Deep Neural Networks for Visual Recognition Tasks
T Okatani, X Liu, M Suganuma
International Workshop on Computational Color Imaging, 3-13, 2019
2019
Supplementary material for “Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration”
X Liu, M Suganuma, Z Sun, T Okatani
Supplementary Material for “Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions”
M Suganuma, X Liu, T Okatani
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