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 | 869 | 2019 |
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 | 107 | 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 | 74 | 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 | 32 | 2021 |
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 | 21 | 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, J Chen, M Brooks IEEE Transactions on Multimedia 25, 4868-4879, 2022 | 3 | 2022 |
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 | 1 | 2021 |
Applications of Deep Learning to Video Enhancement Z Shi | | 2022 |