Xiaohong Liu
Cited by
Cited by
Griddehazenet: Attention-based multi-scale network for image dehazing
X Liu, Y Ma, Z Shi, J Chen
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
AIM 2020 challenge on efficient super-resolution: Methods and results
K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ...
European Conference on Computer Vision, 5-40, 2020
Robust multi-frame super-resolution based on spatially weighted half-quadratic estimation and adaptive BTV regularization
X Liu, L Chen, W Wang, J Zhao
IEEE Transactions on Image Processing 27 (10), 4971-4986, 2018
Video frame interpolation via generalized deformable convolution
Z Shi, X Liu, K Shi, L Dai, J Chen
IEEE Transactions on Multimedia 24, 426-439, 2021
Awnet: Attentive wavelet network for image isp
L Dai, X Liu, C Li, J Chen
European Conference on Computer Vision, 185-201, 2020
PSCC-Net: Progressive spatio-channel correlation network for image manipulation detection and localization
X Liu, Y Liu, J Chen, X Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2022
Exploit camera raw data for video super-resolution via hidden Markov model inference
X Liu, K Shi, Z Wang, J Chen
IEEE Transactions on Image Processing 30, 2127-2140, 2021
Video frame interpolation transformer
Z Shi, X Xu, X Liu, J Chen, MH Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
End-to-end trainable video super-resolution based on a new mechanism for implicit motion estimation and compensation
X Liu, L Kong, Y Zhou, J Zhao, J Chen
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Video super-resolution via dynamic local filter network
Y Zhou, X Liu, L Chen, J Zhao
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
Robust multi-frame super-resolution with adaptive norm choice and difference curvature based BTV regularization
X Liu, J Zhao
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
Learning for unconstrained space-time video super-resolution
Z Shi, X Liu, C Li, L Dai, J Chen, TN Davidson, J Zhao
IEEE Transactions on Broadcasting, 2021
GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing
X Liu, Z Shi, Z Wu, J Chen
arXiv preprint arXiv:2103.13998, 2021
Single image super resolution based on multi-scale structure and non-local smoothing
W Wang, J Hu, X Liu, J Zhao, J Chen
EURASIP Journal on Image and Video Processing 2021 (1), 1-15, 2021
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
M Zhang, X Wang, B Decardi-Nelson, B Song, A Zhang, J Liu, S Tao, ...
arXiv preprint arXiv:2206.08851, 2022
Enabling Trimap-Free Image Matting with a Frequency-Guided Saliency-Aware Network via Joint Learning
L Dai, X Song, X Liu, C Li, Z Shi, M Brooks, J Chen
IEEE Transactions on Multimedia, 2022
Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing
K Shi, X Liu, M Alrabeiah, X Guo, J Lin, H Liu, J Chen
Information 13 (3), 106, 2022
FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset
X Yin, X Liu, H Liu
International Conference on Artificial Neural Networks, 421-432, 2021
Towards a Unified Approach to Single Image Deraining and Dehazing
X Liu, Y Ma, Z Shi, L Dai, J Chen
arXiv preprint arXiv:2103.14204, 2021
Applications of Deep Learning to Visual Content Processing and Analysis
X Liu
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