| Coupled GAN with relativistic discriminators for infrared and visible images fusion Q Li, L Lu, Z Li, W Wu, Z Liu, G Jeon, X Yang IEEE Sensors Journal 21 (6), 7458-7467, 2021 | 87 | 2021 |
| Gated Multiple Feedback Network for Image Super-Resolution Q Li, Z Li, L Lu, G Jeon, K Liu, X Yang BMVC2019, 2019 | 43 | 2019 |
| A novel medical image fusion method based on rolling guidance filtering J Chen, L Zhang, L Lu, Q Li, M Hu, X Yang Internet of Things 14, 100172, 2021 | 34 | 2021 |
| Multi-focus image fusion method for vision sensor systems via dictionary learning with guided filter Q Li, X Yang, W Wu, K Liu, G Jeon Sensors 18 (7), 2143, 2018 | 29 | 2018 |
| Pansharpening multispectral remote‐sensing images with guided filter for monitoring impact of human behavior on environment Q Li, X Yang, W Wu, K Liu, G Jeon Concurrency and Computation: Practice and Experience, e5074, 2018 | 25 | 2018 |
| Deep recursive up-down sampling networks for single image super-resolution Z Li, Q Li, W Wu, J Yang, Z Li, X Yang Neurocomputing, 2019 | 23 | 2019 |
| Net: a dual attention-aware network for robust crowd counting W Zhai, Q Li, Y Zhou, X Li, J Pan, G Zou, M Gao Multimedia Systems 29 (5), 3027-3040, 2023 | 22 | 2023 |
| An attentive hierarchy ConvNet for crowd counting in smart city W Zhai, M Gao, A Souri, Q Li, X Guo, J Shang, G Zou Cluster Computing 26 (2), 1099-1111, 2023 | 21 | 2023 |
| Group-split attention network for crowd counting W Zhai, M Gao, M Anisetti, Q Li, S Jeon, J Pan Journal of Electronic Imaging 31 (4), 041214-041214, 2022 | 18 | 2022 |
| Infrared and visible images fusion by using sparse representation and guided filter Q Li, W Wu, L Lu, Z Li, A Ahmad, G Jeon Journal of Intelligent Transportation Systems, 2019 | 18 | 2019 |
| Spatial-frequency attention network for crowd counting X Guo, M Gao, W Zhai, J Shang, Q Li Big data 10 (5), 453-465, 2022 | 16 | 2022 |
| FPANet: feature pyramid attention network for crowd counting W Zhai, M Gao, Q Li, G Jeon, M Anisetti Applied Intelligence 53 (16), 19199-19216, 2023 | 13 | 2023 |
| A Novel Infrared Image Enhancement Based on Correlation Measurement of Visible Image for Urban Traffic Surveillance Systems J Chen, X Yang, L Lu, Q Li, Z Li, W Wu Journal of Intelligent Transportation Systems, 2019 | 11 | 2019 |
| Multiscale aggregation network via smooth inverse map for crowd counting X Guo, M Gao, W Zhai, Q Li, J Pan, G Zou Multimedia Tools and Applications, 1-15, 2022 | 10 | 2022 |
| Crowd counting in smart city via lightweight ghost attention pyramid network X Guo, K Song, M Gao, W Zhai, Q Li, G Jeon Future Generation Computer Systems 147, 328-338, 2023 | 8 | 2023 |
| A comprehensive analysis for crowd counting methodologies and algorithms in Internet of Things M Gao, A Souri, M Zaker, W Zhai, X Guo, Q Li Cluster Computing, 1-15, 2023 | 8 | 2023 |
| Dense attention fusion network for object counting in iot system X Guo, M Gao, W Zhai, Q Li, KH Kim, G Jeon Mobile Networks and Applications 28 (1), 359-368, 2023 | 8 | 2023 |
| Scale-context perceptive network for crowd counting and localization in smart city system W Zhai, M Gao, X Guo, Q Li IEEE Internet of Things Journal, 2023 | 7 | 2023 |
| Gated multi-attention feedback network for medical image super-resolution J Shang, X Zhang, G Zhang, W Song, J Chen, Q Li, M Gao Electronics 11 (21), 3554, 2022 | 6 | 2022 |
| Scale region recognition network for object counting in intelligent transportation system X Guo, M Gao, W Zhai, Q Li, G Jeon IEEE Transactions on Intelligent Transportation Systems, 2023 | 5 | 2023 |
Shaogang GongQueen Mary University of LondonVerified email at qmul.ac.uk
