| Waterloo exploration database: New challenges for image quality assessment models K Ma, Z Duanmu, Q Wu, Z Wang, H Yong, H Li, L Zhang IEEE Transactions on Image Processing 26 (2), 1004-1016, 2016 | 645 | 2016 |
| A fast HEVC inter CU selection method based on pyramid motion divergence J Xiong, H Li, Q Wu, F Meng IEEE transactions on multimedia 16 (2), 559-564, 2013 | 256 | 2013 |
| Blind image quality assessment based on multichannel feature fusion and label transfer Q Wu, H Li, F Meng, KN Ngan, B Luo, C Huang, B Zeng IEEE Transactions on Circuits and Systems for Video Technology 26 (3), 425-440, 2015 | 171 | 2015 |
| Key-word-aware network for referring expression image segmentation H Shi, H Li, F Meng, Q Wu Proceedings of the European Conference on Computer Vision (ECCV), 38-54, 2018 | 170 | 2018 |
| A highly efficient method for blind image quality assessment Q Wu, Z Wang, H Li 2015 IEEE International Conference on Image Processing (ICIP), 339-343, 2015 | 150 | 2015 |
| LETRIST: Locally encoded transform feature histogram for rotation-invariant texture classification T Song, H Li, F Meng, Q Wu, J Cai IEEE Transactions on circuits and systems for video technology 28 (7), 1565-1579, 2017 | 147 | 2017 |
| Group mad competition-a new methodology to compare objective image quality models K Ma, Q Wu, Z Wang, Z Duanmu, H Yong, H Li, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 109 | 2016 |
| Simultaneously detecting and counting dense vehicles from drone images W Li, H Li, Q Wu, X Chen, KN Ngan IEEE Transactions on Industrial Electronics 66 (12), 9651-9662, 2019 | 92 | 2019 |
| Fast HEVC inter CU decision based on latent SAD estimation J Xiong, H Li, F Meng, Q Wu, KN Ngan IEEE Transactions on Multimedia 17 (12), 2147-2159, 2015 | 88 | 2015 |
| Noise-robust texture description using local contrast patterns via global measures T Song, H Li, F Meng, Q Wu, B Luo, B Zeng, M Gabbouj IEEE Signal Processing Letters 21 (1), 93-96, 2013 | 86 | 2013 |
| A2RMNet: Adaptively Aspect Ratio Multi-Scale Network for Object Detection in Remote Sensing Images H Qiu, H Li, Q Wu, F Meng, KN Ngan, H Shi Remote Sensing 11 (13), 1594, 2019 | 76 | 2019 |
| A perceptually weighted rank correlation indicator for objective image quality assessment Q Wu, H Li, F Meng, KN Ngan IEEE Transactions on Image Processing 27 (5), 2499-2513, 2018 | 72 | 2018 |
| MRF-based fast HEVC inter CU decision with the variance of absolute differences J Xiong, H Li, F Meng, S Zhu, Q Wu, B Zeng IEEE Transactions on Multimedia 16 (8), 2141-2153, 2014 | 71 | 2014 |
| High-quality R-CNN object detection using multi-path detection calibration network X Chen, H Li, Q Wu, KN Ngan, L Xu IEEE Transactions on Circuits and Systems for Video Technology 31 (2), 715-727, 2020 | 60 | 2020 |
| Blind image quality assessment using local consistency aware retriever and uncertainty aware evaluator Q Wu, H Li, KN Ngan, K Ma IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2078-2089, 2017 | 58 | 2017 |
| Group maximum differentiation competition: Model comparison with few samples K Ma, Z Duanmu, Z Wang, Q Wu, W Liu, H Yong, H Li, L Zhang IEEE Transactions on pattern analysis and machine intelligence 42 (4), 851-864, 2018 | 57 | 2018 |
| Blind image quality assessment based on rank-order regularized regression Q Wu, H Li, Z Wang, F Meng, B Luo, W Li, KN Ngan IEEE Transactions on Multimedia 19 (11), 2490-2504, 2017 | 54 | 2017 |
| Subjective and objective de-raining quality assessment towards authentic rain image Q Wu, L Wang, KN Ngan, H Li, F Meng, L Xu IEEE Transactions on Circuits and Systems for Video Technology 30 (11), 3883 …, 2020 | 50 | 2020 |
| Headnet: An end-to-end adaptive relational network for head detection W Li, H Li, Q Wu, F Meng, L Xu, KN Ngan IEEE Transactions on Circuits and Systems for Video Technology 30 (2), 482-494, 2019 | 50 | 2019 |
| Global and local semantics-preserving based deep hashing for cross-modal retrieval L Ma, H Li, F Meng, Q Wu, KN Ngan Neurocomputing 312, 49-62, 2018 | 50 | 2018 |
Hongliang LiProfessor of UESTC在 uestc.edu.cn 的电子邮件经过验证
