| Incorporating Convolution Designs into Visual Transformers K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu ICCV 2021, 579-588, 2021 | 237 | 2021 |
| Learning N:M Fine-grained Structured Sparse Neural Networks from Scratch A Zhou, Y Ma, J Zhu, J Liu, Z Zhang, K Yuan, W Sun, H Li ICLR 2021, 2021 | 86 | 2021 |
| NTIRE 2022 Challenge on Perceptual Image Quality Assessment J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ... CVPR 2022 Workshop, 951-967, 2022 | 57 | 2022 |
| Efficient Cloud Detection in Remote Sensing Images using Edge-aware Segmentation Network and Easy-to-hard Training Strategy K Yuan, G Meng, D Cheng, J Bai, S Xiang, C Pan ICIP 2017, 61-65, 2017 | 18 | 2017 |
| Deep Networks for Degraded Document Image Binarization through Pyramid Reconstruction G Meng, K Yuan, Y Wu, S Xiang, C Pan ICDAR 2017 1, 727-732, 2017 | 15 | 2017 |
| SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification K Yuan, Q Zhang, C Huang, S Xiang, C Pan IJCAI 2018, 1121-1127, 2018 | 8 | 2018 |
| Self-supervised Correlation Mining Network for Person Image Generation Z Wang, X Qi, K Yuan, M Sun CVPR 2022, 7703-7712, 2022 | 4 | 2022 |
| Learning Connectivity of Neural Networks from a Topological Perspective K Yuan, Q Li, J Shao, J Yan ECCV 2020, 737-753, 2020 | 3* | 2020 |
| ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks Z Wu, X Qi, Z Wang, W Zhou, K Yuan, M Sun, Z Sun BMVC 2022, 2022 | 2 | 2022 |
| Differentiable Dynamic Wirings for Neural Networks K Yuan, Q Li, S Guo, D Chen, A Zhou, F Yu, Z Liu ICCV 2021, 327-336, 2021 | 2* | 2021 |
| Differentiable Network Adaption with Elastic Search Space S Guo, Y Wang, K Yuan, Q Li arXiv preprint arXiv:2103.16350, 2021 | 1 | 2021 |
| Quality-aware Pre-trained Models for Blind Image Quality Assessment K Zhao*, K Yuan*, M Sun, M Li, X Wen CVPR 20223, 2023 | | 2023 |
| Multi-Model Single-Engine Deployment Optimization for TensorRT XW Yang Liu, Yongxiong Ren, Xucheng Ye, Jiachen Wang, Chengjie Zang, Lingzhi ... NVIDIA GTC 2022, S41169, 2022 | | 2022 |
| HAQUANT: A GPU Quantization Framework for Efficient Deep Neural Networks Deployment XW Xucheng Ye, Chengjie Zang, Yang Liu, Jiachen Wang, Liang Huang, Lingzhi ... NVIDIA GTC 2022, S41276, 2022 | | 2022 |
| GPU Video Pre/Post-Processing Acceleration Library BC Jiachen Wang, Chengjie Zang, Yongxiong Ren, Yang Liu, Lingzhi Liu, Kun ... NVIDIA GTC 2022, S41272, 2022 | | 2022 |
Aojun ZhouSenseTime在 link.cuhk.edu.hk 的电子邮件经过验证
