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Yang Liu
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Invertible Denoising Network: A Light Solution for Real Noise Removal
Y Liu, Z Qin, S Anwar, P Ji, D Kim, S Caldwell, T Gedeon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
482021
Gradnet image denoising
Y Liu, S Anwar, L Zheng, Q Tian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
202020
Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition
Z Qin, Y Liu, P Ji, D Kim, L Wang, B McKay, S Anwar, T Gedeon
arXiv preprint arXiv:2105.01563, 2021
122021
Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable
Y Liu, Z Qin, S Anwar, S Caldwell, T Gedeon
International Conference on Neural Information Processing, 172-184, 2020
52020
TeamGL at ACRV robotic vision challenge 1: probabilistic object detection via staged non-suppression ensembling
D Li, C Xu, Y Liu, Z Qin
CVPR Workshop on the Robotic Vision Probabilistic Object Detection Challenge, 2019
52019
Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network
Y Liu, S Anwar, Z Qin, P Ji, S Caldwell, T Gedeon
arXiv preprint arXiv:2105.04746, 2021
42021
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
Z Qin, S Anwar, D Kim, Y Liu, P Ji, T Gedeon
arXiv preprint arXiv:2105.11346, 2021
22021
Classification Models for Medical Data with Interpretative Rules
X Xu, X Ding, Z Qin, Y Liu
International Conference on Neural Information Processing, 227-239, 2021
12021
Anonymization for Skeleton Action Recognition
M Kim, Z Qin, Y Liu, D Kim
arXiv preprint arXiv:2111.15129, 2021
12021
Skeletons on the Stairs: Are They Deceptive?
Y Li, Y Liu, Z Qin, X Zhu, S Caldwell, T Gedeon
International Conference on Neural Information Processing, 194-202, 2021
2021
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