| 3d deep shape descriptor Y Fang, J Xie, G Dai, M Wang, F Zhu, T Xu, E Wong Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 256 | 2015 |
| Deepshape: Deep learned shape descriptor for 3d shape matching and retrieval J Xie, Y Fang, F Zhu, E Wong Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 180 | 2015 |
| From handcrafted to learned representations for human action recognition: A survey F Zhu, L Shao, J Xie, Y Fang Image and Vision Computing 55, 42-52, 2016 | 155 | 2016 |
| Deepshape: Deep-learned shape descriptor for 3d shape retrieval J Xie, G Dai, F Zhu, EK Wong, Y Fang IEEE transactions on pattern analysis and machine intelligence 39 (7), 1335-1345, 2016 | 151 | 2016 |
| Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition JY Shi, SW Zhang, Q Pan, YM Cheng, J Xie Amino acids 33, 69-74, 2007 | 143 | 2007 |
| An effective method for detecting double JPEG compression with the same quantization matrix J Yang, J Xie, G Zhu, S Kwong, YQ Shi IEEE Transactions on Information Forensics and Security 9 (11), 1933-1942, 2014 | 135 | 2014 |
| Pyramid point cloud transformer for large-scale place recognition L Hui, H Yang, M Cheng, J Xie, J Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 102 | 2021 |
| Learning barycentric representations of 3D shapes for sketch-based 3D shape retrieval J Xie, G Dai, F Zhu, Y Fang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 85 | 2017 |
| SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network M Cheng, L Hui, J Xie, J Yang AAAI 2021, 2021 | 82 | 2021 |
| Learning cross-domain neural networks for sketch-based 3D shape retrieval F Zhu, J Xie, Y Fang Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 81 | 2016 |
| Deep correlated holistic metric learning for sketch-based 3D shape retrieval G Dai, J Xie, Y Fang IEEE Transactions on Image Processing 27 (7), 3374-3386, 2018 | 80 | 2018 |
| Deep correlated metric learning for sketch-based 3d shape retrieval G Dai, J Xie, F Zhu, Y Fang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 79 | 2017 |
| Progressive Point Cloud Deconvolution Generation Network L Hui, R Xu, J Xie, J Qian, J Yang 16th European Conference on Computer Vision, ECCV 2020, 2020 | 76 | 2020 |
| Efficient 3D point cloud feature learning for large-scale place recognition L Hui, M Cheng, J Xie, J Yang, MM Cheng IEEE Transactions on Image Processing 31, 1258-1270, 2022 | 65 | 2022 |
| 3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds L Hui, L Wang, M Cheng, J Xie, J Yang NeurIPS 2021, 2021 | 63 | 2021 |
| Texture classification via patch-based sparse texton learning J Xie, L Zhang, J You, D Zhang 2010 IEEE International Conference on Image Processing, 2737-2740, 2010 | 59 | 2010 |
| Effective texture classification by texton encoding induced statistical features J Xie, L Zhang, J You, S Shiu Pattern Recognition 48 (2), 447-457, 2015 | 56 | 2015 |
| Edge perpendicular binary coding for USM sharpening detection F Ding, G Zhu, J Yang, J Xie, YQ Shi IEEE Signal Processing Letters 22 (3), 327-331, 2014 | 53 | 2014 |
| Siamese cnn-bilstm architecture for 3D shape representation learning. G Dai, J Xie, Y Fang IJCAI, 670-676, 2018 | 51 | 2018 |
| 3d siamese transformer network for single object tracking on point clouds L Hui, L Wang, L Tang, K Lan, J Xie, J Yang European conference on computer vision, 293-310, 2022 | 49 | 2022 |
