| MetaIQA: Deep meta-learning for no-reference image quality assessment H Zhu, L Li, J Wu, W Dong, G Shi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 341 | 2020 |
| An Efficient Scheme for Detecting Copy-move Forged Images by Local Binary Patterns L Li, S Li, H Zhu, SC Chu, JF Roddick, JS Pan J. Inf. Hiding Multim. Signal Process. 4 (1), 46-56, 2013 | 217 | 2013 |
| Personality-assisted multi-task learning for generic and personalized image aesthetics assessment L Li, H Zhu, S Zhao, G Ding, W Lin IEEE Transactions on Image Processing 29, 3898-3910, 2020 | 119 | 2020 |
| Referenceless measure of blocking artifacts by Tchebichef kernel analysis L Li, H Zhu, G Yang, J Qian IEEE Signal Processing Letters 21 (1), 122-125, 2013 | 110 | 2013 |
| Detecting copy-move forgery under affine transforms for image forensics L Li, S Li, H Zhu, X Wu Computers & Electrical Engineering 40 (6), 1951-1962, 2014 | 97 | 2014 |
| Personalized image aesthetics assessment via meta-learning with bilevel gradient optimization H Zhu, L Li, J Wu, S Zhao, G Ding, G Shi IEEE Transactions on Cybernetics 52 (3), 1798-1811, 2020 | 62 | 2020 |
| Learning structural regularity for evaluating blocking artifacts in JPEG images L Li, W Lin, H Zhu IEEE Signal Processing Letters 21 (8), 918-922, 2014 | 50 | 2014 |
| Generalizable no-reference image quality assessment via deep meta-learning H Zhu, L Li, J Wu, W Dong, G Shi IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 1048-1060, 2021 | 47 | 2021 |
| Learning personalized image aesthetics from subjective and objective attributes H Zhu, Y Zhou, L Li, Y Li, Y Guo IEEE Transactions on Multimedia 25, 179-190, 2021 | 37 | 2021 |
| Personality driven multi-task learning for image aesthetic assessment L Li, H Zhu, S Zhao, G Ding, H Jiang, A Tan 2019 IEEE International Conference on Multimedia and Expo (ICME), 430-435, 2019 | 24 | 2019 |
| Evaluating attributed personality traits from scene perception probability H Zhu, L Li, S Zhao, H Jiang Pattern Recognition Letters 116, 121-126, 2018 | 18 | 2018 |
| Inferring personality traits from attentive regions of user liked images via weakly supervised dual convolutional network H Zhu, L Li, H Jiang, A Tan Neural Processing Letters 51 (3), 2105-2121, 2020 | 17 | 2020 |
| Textdct: Arbitrary-shaped text detection via discrete cosine transform mask Y Su, Z Shao, Y Zhou, F Meng, H Zhu, B Liu, R Yao IEEE Transactions on Multimedia 25, 5030-5042, 2022 | 16 | 2022 |
| Few-shot object detection via context-aware aggregation for remote sensing images Y Zhou, H Hu, J Zhao, H Zhu, R Yao, WL Du IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 15 | 2022 |
| Weakly supervised few-shot semantic segmentation via pseudo mask enhancement and meta learning M Zhang, Y Zhou, B Liu, J Zhao, R Yao, Z Shao, H Zhu IEEE Transactions on Multimedia 25, 7980-7991, 2022 | 11 | 2022 |
| Survey for person re-identification based on coarse-to-fine feature learning M Liu, J Zhao, Y Zhou, H Zhu, R Yao, Y Chen Multimedia Tools and Applications 81 (15), 21939-21973, 2022 | 11 | 2022 |
| Blind quality index of depth images based on structural statistics for view synthesis Y Huang, L Li, H Zhu, B Hu IEEE Signal Processing Letters 27, 685-689, 2020 | 11 | 2020 |
| No-reference sharpness index for scanning electron microscopy images based on dark channel prior Q Li, L Li, Z Lu, Y Zhou, H Zhu KSII Transactions on Internet and Information Systems (TIIS) 13 (5), 2529-2543, 2019 | 9 | 2019 |
| No-reference quality assessment for contrast-distorted images based on multifaceted statistical representation of structure Y Zhou, L Li, H Zhu, H Liu, S Wang, Y Zhao Journal of Visual Communication and Image Representation 60, 158-169, 2019 | 8 | 2019 |
| Visible and infrared object tracking via convolution-transformer network with joint multimodal feature learning J Qiu, R Yao, Y Zhou, P Wang, Y Zhang, H Zhu IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 7 | 2023 |
Leida LiXidian University, ChinaVerified email at xidian.edu.cn
