Deep 3D human pose estimation: A review J Wang, S Tan, X Zhen, S Xu, F Zheng, Z He, L Shao Computer Vision and Image Understanding 210, 103225, 2021 | 223 | 2021 |
Single image dehazing with a physical model and dark channel prior JB Wang, N He, LL Zhang, K Lu Neurocomputing 149, 718-728, 2015 | 194 | 2015 |
Single image dehazing based on the physical model and MSRCR algorithm J Wang, K Lu, J Xue, N He, L Shao IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2190-2199, 2017 | 133 | 2017 |
An improved fractional-order differentiation model for image denoising N He, JB Wang, LL Zhang, K Lu signal Processing 112, 180-188, 2015 | 130 | 2015 |
Deep industrial image anomaly detection: A survey J Liu, G Xie, J Wang, S Li, C Wang, F Zheng, Y Jin Machine Intelligence Research 21 (1), 104-135, 2024 | 42 | 2024 |
Pushing the limits of fewshot anomaly detection in industry vision: Graphcore G Xie, J Wang, J Liu, F Zheng, Y Jin arXiv preprint arXiv:2301.12082, 2023 | 36 | 2023 |
FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis J Wang, G Xie, Y Huang, J Lyu, F Zheng, Y Zheng, Y Jin Neurocomputing 546, 126282, 2023 | 31 | 2023 |
IM-IAD: Industrial image anomaly detection benchmark in manufacturing G Xie, J Wang, J Liu, J Lyu, Y Liu, C Wang, F Zheng, Y Jin arXiv preprint arXiv:2301.13359, 2023 | 29 | 2023 |
Softpatch: Unsupervised anomaly detection with noisy data X Jiang, J Liu, J Wang, Q Nie, K Wu, Y Liu, C Wang, F Zheng Advances in Neural Information Processing Systems 35, 15433-15445, 2022 | 27 | 2022 |
Seminar learning for click-level weakly supervised semantic segmentation H Chen, J Wang, HC Chen, X Zhen, F Zheng, R Ji, L Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 27 | 2021 |
Non-local sparse regularization model with application to image denoising N He, JB Wang, LL Zhang, GM Xu, K Lu Multimedia Tools and Applications 75, 2579-2594, 2016 | 17 | 2016 |
A survey of visual sensory anomaly detection X Jiang, G Xie, J Wang, Y Liu, C Wang, F Zheng, Y Jin arXiv preprint arXiv:2202.07006, 2022 | 14 | 2022 |
A new single image dehazing method with MSRCR algorithm JB Wang, N He, K Lu Proceedings of the 7th International Conference on Internet Multimedia …, 2015 | 14 | 2015 |
Easynet: An easy network for 3d industrial anomaly detection R Chen, G Xie, J Liu, J Wang, Z Luo, J Wang, F Zheng Proceedings of the 31st ACM International Conference on Multimedia, 7038-7046, 2023 | 12 | 2023 |
Real3d-ad: A dataset of point cloud anomaly detection J Liu, G Xie, R Chen, X Li, J Wang, Y Liu, C Wang, F Zheng Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
Single-image motion deblurring using an adaptive image prior N He, K Lu, BK Bao, LL Zhang, JB Wang Information Sciences 281, 736-749, 2014 | 9 | 2014 |
Tiny adversarial multi-objective one-shot neural architecture search G Xie, J Wang, G Yu, J Lyu, F Zheng, Y Jin Complex & intelligent systems 9 (6), 6117-6138, 2023 | 8 | 2023 |
Convex optimization based low-rank matrix decomposition for image restoration N He, JB Wang, LL Zhang, K Lu Neurocomputing 172, 253-261, 2016 | 8 | 2016 |
Towards continual adaptation in industrial anomaly detection W Li, J Zhan, J Wang, B Xia, BB Gao, J Liu, C Wang, F Zheng Proceedings of the 30th ACM International Conference on Multimedia, 2871-2880, 2022 | 7 | 2022 |
Learning efficient hash codes for fast graph-based data similarity retrieval J Wang, S Xu, F Zheng, K Lu, J Song, L Shao IEEE Transactions on Image Processing 30, 6321-6334, 2021 | 6 | 2021 |