| Real-world single image super-resolution: A brief review H Chen, X He, L Qing, Y Wu, C Ren, RE Sheriff, C Zhu Information Fusion 79, 124-145, 2022 | 212 | 2022 |
| Adaptive consistency prior based deep network for image denoising C Ren, X He, C Wang, Z Zhao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 146 | 2021 |
| Reconstruction of porous media from extremely limited information using conditional generative adversarial networks J Feng, X He, Q Teng, C Ren, H Chen, Y Li Physical Review E 100 (3), 033308, 2019 | 138 | 2019 |
| Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter W Gan, X Wu, W Wu, X Yang, C Ren, X He, K Liu Infrared Physics & Technology 72, 37-51, 2015 | 127 | 2015 |
| CT-image of rock samples super resolution using 3D convolutional neural network Y Wang, Q Teng, X He, J Feng, T Zhang Computers & Geosciences 133, 104314, 2019 | 115 | 2019 |
| Learning-based super resolution using kernel partial least squares W Wu, Z Liu, X He Image and Vision Computing 29 (6), 394-406, 2011 | 96 | 2011 |
| Moving object detection with a freely moving camera via background motion subtraction Y Wu, X He, TQ Nguyen IEEE Transactions on Circuits and Systems for Video Technology 27 (2), 236-248, 2015 | 94 | 2015 |
| Accelerating multi-point statistics reconstruction method for porous media via deep learning J Feng, Q Teng, X He, X Wu Acta Materialia 159, 296-308, 2018 | 86 | 2018 |
| An end-to-end three-dimensional reconstruction framework of porous media from a single two-dimensional image based on deep learning J Feng, Q Teng, B Li, X He, H Chen, Y Li Computer Methods in Applied Mechanics and Engineering 368, 113043, 2020 | 82 | 2020 |
| Object tracking using firefly algorithm ML Gao, XH He, DS Luo, J Jiang, QZ Teng IET Computer Vision 7 (4), 227-237, 2013 | 73 | 2013 |
| A pixel selection rule based on the number of different‐phase neighbours for the simulated annealing reconstruction of sandstone microstructure T TANG, Q TENG, X HE, D Luo Journal of microscopy 234 (3), 262-268, 2009 | 71 | 2009 |
| An automated vision system for container-code recognition W Wu, Z Liu, M Chen, X Yang, X He Expert Systems with Applications 39 (3), 2842-2855, 2012 | 70 | 2012 |
| Single image super-resolution via adaptive high-dimensional non-local total variation and adaptive geometric feature C Ren, X He, TQ Nguyen IEEE Transactions on Image Processing 26 (1), 90-106, 2016 | 67 | 2016 |
| Super-resolution of real-world rock microcomputed tomography images using cycle-consistent generative adversarial networks H Chen, X He, Q Teng, RE Sheriff, J Feng, S Xiong Physical Review E 101 (2), 023305, 2020 | 66 | 2020 |
| DPW-SDNet: Dual pixel-wavelet domain deep CNNs for soft decoding of JPEG-compressed images H Chen, X He, L Qing, S Xiong, TQ Nguyen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 63 | 2018 |
| Single image super-resolution using local geometric duality and non-local similarity C Ren, X He, Q Teng, Y Wu, TQ Nguyen IEEE Transactions on Image Processing 25 (5), 2168-2183, 2016 | 62 | 2016 |
| Single-image super-resolution based on Markov random field and contourlet transform W Wu, Z Liu, W Gueaieb, X He Journal of Electronic Imaging 20 (2), 023005-023005-17, 2011 | 62 | 2011 |
| Reconstruction of three-dimensional porous media from a single two-dimensional image using three-step sampling ML Gao, XH He, QZ Teng, C Zuo, DD Chen Physical Review E 91 (1), 013308, 2015 | 59 | 2015 |
| Video superresolution reconstruction based on subpixel registration and iterative back projection F Qin, X He, W Chen, X Yang, W Wu Journal of Electronic Imaging 18 (1), 013007-013007-11, 2009 | 59 | 2009 |
| Slice-to-voxel stochastic reconstructions on porous media with hybrid deep generative model F Zhang, Q Teng, H Chen, X He, X Dong Computational Materials Science 186, 110018, 2021 | 58 | 2021 |
Qing LinboSichuan UniversityVerified email at scu.edu.cn
