| Optimizing multistage discriminative dictionaries for blind image quality assessment Q Jiang, F Shao, W Lin, K Gu, G Jiang, H Sun IEEE Transactions on Multimedia 20 (8), 2035-2048, 2018 | 215 | 2018 |
| Underwater image enhancement quality evaluation: Benchmark dataset and objective metric Q Jiang, Y Gu, C Li, R Cong, F Shao IEEE Transactions on Circuits and Systems for Video Technology 32 (9), 5959-5974, 2022 | 186 | 2022 |
| SGDNet: An end-to-end saliency-guided deep neural network for no-reference image quality assessment S Yang, Q Jiang, W Lin, Y Wang Proceedings of the 27th ACM International Conference on Multimedia, 1383-1391, 2019 | 166 | 2019 |
| A dilated inception network for visual saliency prediction S Yang, G Lin, Q Jiang, W Lin IEEE Transactions on Multimedia 22 (8), 2163-2176, 2020 | 162 | 2020 |
| Unified no-reference quality assessment of singly and multiply distorted stereoscopic images Q Jiang, F Shao, W Gao, Z Chen, G Jiang, YS Ho IEEE Transactions on Image Processing 28 (4), 1866-1881, 2019 | 155 | 2019 |
| Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction J Zhou, Q Liu, Q Jiang, W Ren, KM Lam, W Zhang International Journal of Computer Vision, 1-19, 2023 | 153 | 2023 |
| A perception-aware decomposition and fusion framework for underwater image enhancement Y Kang, Q Jiang (*Corresponding author), C Li, W Ren, H Liu, P Wang IEEE Transactions on Circuits and Systems for Video Technology 33 (3), 988-1002, 2023 | 130 | 2023 |
| Abnormal event detection using deep contrastive learning for intelligent video surveillance system C Huang, Z Wu, J Wen, Y Xu, Q Jiang, Y Wang IEEE Transactions on Industrial Informatics 18 (8), 5171-5179, 2021 | 123 | 2021 |
| Self-supervised attentive generative adversarial networks for video anomaly detection C Huang, J Wen, Y Xu, Q Jiang, J Yang, Y Wang, D Zhang IEEE Transactions on Neural Networks and Learning Systems 34 (11), 9389-9403, 2022 | 117 | 2022 |
| Unsupervised decomposition and correction network for low-light image enhancement Q Jiang, Y Mao, R Cong, W Ren, C Huang, F Shao IEEE Transactions on Intelligent Transportation Systems 23 (10), 19440-19455, 2022 | 96 | 2022 |
| Single image super-resolution quality assessment: a real-world dataset, subjective studies, and an objective metric Q Jiang, Z Liu, K Gu, F Shao, X Zhang, H Liu, W Lin IEEE Transactions on Image Processing 31, 2279-2294, 2022 | 95 | 2022 |
| Self-supervision-augmented deep autoencoder for unsupervised visual anomaly detection C Huang, Z Yang, J Wen, Y Xu, Q Jiang, J Yang, Y Wang IEEE Transactions on Cybernetics 52 (12), 13834-13847, 2021 | 82 | 2021 |
| WaveNet: Wavelet network with knowledge distillation for RGB-T salient object detection W Zhou, F Sun, Q Jiang (*Corresponding author), R Cong, JN Hwang IEEE Transactions on Image Processing 32, 3027-3039, 2023 | 80 | 2023 |
| No-reference quality assessment for 360-degree images by analysis of multifrequency information and local-global naturalness W Zhou, J Xu, Q Jiang, Z Chen IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 1778-1791, 2021 | 80 | 2021 |
| Two-branch deep neural network for underwater image enhancement in HSV color space J Hu, Q Jiang (*Corresponding author), R Cong, W Gao, F Shao IEEE Signal Processing Letters 28, 2152-2156, 2021 | 74 | 2021 |
| Blind quality assessment for image superresolution using deep two-stream convolutional networks W Zhou, Q Jiang, Y Wang, Z Chen, W Li Information Sciences 528, 205-218, 2020 | 72 | 2020 |
| Progressive self-guided loss for salient object detection S Yang, W Lin, G Lin, Q Jiang, Z Liu IEEE Transactions on Image Processing 30, 8426-8438, 2021 | 69 | 2021 |
| BLIQUE-TMI: Blind quality evaluator for tone-mapped images based on local and global feature analyses Q Jiang, F Shao, W Lin, G Jiang IEEE Transactions on Circuits and Systems for Video Technology 29 (2), 323-335, 2019 | 68 | 2019 |
| Modality-induced transfer-fusion network for RGB-D and RGB-T salient object detection G Chen, F Shao, X Chai, H Chen, Q Jiang, X Meng, YS Ho IEEE Transactions on Circuits and Systems for Video Technology 33 (4), 1787-1801, 2022 | 67 | 2022 |
| A weakly supervised learning framework for salient object detection via hybrid labels R Cong, Q Qin, C Zhang, Q Jiang, S Wang, Y Zhao, S Kwong IEEE Transactions on Circuits and Systems for Video Technology 33 (2), 534-548, 2022 | 67 | 2022 |
Feng Shao (邵枫)Professor, Ningbo UniversityOverená e-mailová adresa na: nbu.edu.cn