| 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 | 629 | 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, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 96 | 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 32 (11), 7505 …, 2022 | 72 | 2022 |
| 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 | 68 | 2022 |
| 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 | 57 | 2021 |
| Aim 2020 challenge on learned image signal processing pipeline A Ignatov, R Timofte, Z Zhang, M Liu, H Wang, W Zuo, J Zhang, R Zhang, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 55 | 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 | 45 | 2018 |
| Awnet: Attentive wavelet network for image isp L Dai, X Liu, C Li, J Chen European Conference on Computer Vision 2020 Workshops, 185-201, 2020 | 40 | 2020 |
| 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 | 27 | 2021 |
| 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 68 (2), 345-358, 2021 | 17 | 2021 |
| NTIRE 2023 Quality Assessment of Video Enhancement Challenge X Liu, R Timofte, Y Dong, Z Ma, H Fan, C Zhu, X Min, G Zhai, Z Jia, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14* | 2023 |
| Hierarchical fine-grained image forgery detection and localization X Guo, X Liu, Z Ren, S Grosz, I Masi, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| 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 | 12 | 2020 |
| VDPVE: VQA Dataset for Perceptual Video Enhancement Y Gao, Y Cao, T Kou, W Sun, Y Dong, X Liu, X Min, G Zhai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| GridDehazeNet+: An enhanced multi-scale network with intra-task knowledge transfer for single image dehazing X Liu, Z Shi, Z Wu, J Chen, G Zhai IEEE Transactions on Intelligent Transportation Systems 24 (1), 870-884, 2022 | 6 | 2022 |
| AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment C Li, Z Zhang, H Wu, W Sun, X Min, X Liu, G Zhai, W Lin arXiv preprint arXiv:2306.04717, 2023 | 5 | 2023 |
| Mipi 2022 challenge on quad-bayer re-mosaic: Dataset and report Q Yang, G Yang, J Jiang, C Li, R Feng, S Zhou, W Sun, Q Zhu, CC Loy, ... European Conference on Computer Vision, 21-35, 2022 | 5 | 2022 |
| Fmsnet: Underwater image restoration by learning from a synthesized dataset X Yin, X Liu, H Liu Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 5 | 2021 |
| TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolution S Huang, X Liu, T Tan, M Hu, X Wei, T Chen, B Sheng arXiv preprint arXiv:2306.06669, 2023 | 4 | 2023 |
| SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments M Zhang, X Wang, B Decardi-Nelson, B Song, A Zhang, J Liu, S Tao, ... Advances in Neural Information Processing Systems 35, 26631-26644, 2022 | 4 | 2022 |
Jun ChenElectrical and Computer Engineering, McMaster UniversityVerified email at mcmaster.ca
