| Residual local feature network for efficient super-resolution F Kong, M Li, S Liu, D Liu, J He, Y Bai, F Chen, L Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 123 | 2022 |
| Mixsearch: Searching for domain generalized medical image segmentation architectures L Liu, Z Wen, S Liu, HY Zhou, H Zhu, W Xie, L Shen, K Ma, Y Zheng arXiv preprint arXiv:2102.13280, 2021 | 9 | 2021 |
| Binary convolutional neural network with high accuracy and compression rate S Liu, H Zhu Proceedings of the 2019 2nd International Conference on Algorithms …, 2019 | 6 | 2019 |
| NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results FS Khan, S Khan Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2022 | 3 | 2022 |
| Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution Y Liu, H Dong, B Liang, S Liu, Q Dong, K Chen, F Chen, L Fu, F Wang Proceedings of the 31st ACM International Conference on Multimedia, 7952-7960, 2023 | 1 | 2023 |
| SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity H Xu, S Liu, Y Xu, S Wang, J Li, C Yan, L Li, L Fu, X Pan, F Chen arXiv preprint arXiv:2310.19509, 2023 | | 2023 |
Ding LiuByteDanceVerified email at bytedance.com
