| Deep Learning for 3D Point Clouds: A Survey Y Guo, H Wang, Q Hu, H Liu, L Liu, M Bennamoun IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-27, 2020 | 1747 | 2020 |
| RandLA-Net: Efficient Semantic Segmentation of Large-scale Point Clouds Q Hu, B Yang, L Xie, S Rosa, Y Guo, Z Wang, N Trigoni, A Markham IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 1564 | 2020 |
| Rotational Projection Statistics for 3D Local Surface Description and Object Recognition Y Guo, F Sohel, M Bennamoun, M Lu, J Wan International Journal of Computer Vision 105 (1), 63-86, 2013 | 696 | 2013 |
| 3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey Y Guo, M Bennamoun, F Sohel, M Lu, J Wan IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (11), 2270 …, 2014 | 688 | 2014 |
| A Comprehensive Performance Evaluation of 3D Local Feature Descriptors Y Guo, M Bennamoun, F Sohel, M Lu, J Wan, NM Kwok International Journal of Computer Vision 116 (1), 66-89, 2016 | 634 | 2016 |
| Median Robust Extended Local Binary Pattern for Texture Classification L Liu, S Lao, P Fieguth, Y Guo, X Wang, M Pietikainen IEEE Transactions on Image Processing, 2016 | 508 | 2016 |
| Local binary features for texture classification: Taxonomy and experimental study L Liu, P Fieguth, Y Guo, X Wang, M Pietikäinen Pattern Recognition 62, 135-160, 2017 | 423 | 2017 |
| Learning for Disparity Estimation through Feature Constancy Z Liang, Y Feng, Y Guo, H Liu, L Qiao, W Chen, L Zhou, J Zhang Computer Vision and Pattern Recognition (CVPR), IEEE International …, 2018 | 351 | 2018 |
| Unsupervised Degradation Representation Learning for Blind Super-Resolution L Wang, Y Wang, X Dong, Q Xu, J Yang, W An, Y Guo International Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 308 | 2021 |
| Learning Parallax Attention for Stereo Image Super-Resolution L Wang, Y Wang, Z Liang, Z Lin, J Yang, W An, Y Guo Computer Vision and Pattern Recognition (CVPR), IEEE International Conference on, 2019 | 276 | 2019 |
| Dense nested attention network for infrared small target detection B Li, C Xiao, L Wang, Y Wang, Z Lin, M Li, W An, Y Guo IEEE Transactions on Image Processing 32, 1745-1758, 2022 | 256 | 2022 |
| Geometric Transformer for Fast and Robust Point Cloud Registration Z Qin, H Yu, C Wang, Y Guo, Y Peng, K Xu IEEE/CVF International Conference on Computer Vision and Pattern Recognition …, 2022 | 249 | 2022 |
| Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs R Fu, Q Hu, X Dong, Y Guo, Y Gao, B Li British Machine Vision Conference (BMVC), 2020 | 248 | 2020 |
| SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration S Ao, Q Hu, B Yang, A Markham, Y Guo International Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 238 | 2021 |
| Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds Y Zhang, Q Hu, G Xu, Y Ma, J Wan, Y Guo IEEE/CVF International Conference on Computer Vision and Pattern Recognition …, 2022 | 232 | 2022 |
| Exploring Sparsity in Image Super-Resolution for Efficient Inference L Wang, X Dong, Y Wang, X Ying, Z Lin, W An, Y Guo International Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 216 | 2021 |
| Learning Multi-view Representation with LSTM for 3D Shape Recognition and Retrieval C Ma, Y Guo, J Yang, W An IEEE Transactions on Multimedia, 2018 | 183 | 2018 |
| An Accurate and Robust Range Image Registration Algorithm for 3D Object Modeling Y Guo, F Sohel, M Bennamoun, J Wan, M Lu IEEE Transactions on Multimedia 16 (5), 1377-1390, 2014 | 171 | 2014 |
| Spatial-Angular Interaction for Light Field Image Super-Resolution Y Wang, L Wang, J Yang, W An, J Yu, Y Guo European Conference on Computer Vision (ECCV), 2020 | 162 | 2020 |
| Hyperspectral image restoration using low-rank tensor recovery H Fan, Y Chen, Y Guo, H Zhang, G Kuang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 162 | 2017 |
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