| 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 |
| Fast protein tertiary structure retrieval based on global surface shape similarity L Sael, B Li, D La, Y Fang, K Ramani, R Rustamov, D Kihara Proteins: Structure, Function, and Bioinformatics 72 (4), 1259-1273, 2008 | 150 | 2008 |
| Learning object-specific distance from a monocular image J Zhu, Y Fang Proceedings of the IEEE/CVF International Conference on computer vision …, 2019 | 90 | 2019 |
| Building-a-nets: Robust building extraction from high-resolution remote sensing images with adversarial networks X Li, X Yao, Y Fang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 86 | 2018 |
| 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 |
| 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 | 79 | 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 |
| Heat-mapping: A robust approach toward perceptually consistent mesh segmentation Y Fang, M Sun, M Kim, K Ramani CVPR 2011, 2145-2152, 2011 | 75 | 2011 |
| Deep cross-modality adaptation via semantics preserving adversarial learning for sketch-based 3d shape retrieval J Chen, Y Fang Proceedings of the European conference on computer vision (ECCV), 605-620, 2018 | 64 | 2018 |
| Temperature distribution descriptor for robust 3D shape retrieval Y Fang, M Sun, K Ramani CVPR 2011 WORKSHOPS, 9-16, 2011 | 64 | 2011 |
| Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds J Zhou, B Ma, YS Liu, Y Fang, Z Han Thirty-sixth Conference on Neural Information Processing Systems, NeurIPS 2022, 2022 | 60 | 2022 |
| DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification X Li, L Wang, M Wang, C Wen, Y Fang ISPRS Journal of Photogrammetry and Remote Sensing 166, 128-139, 2020 | 54 | 2020 |
| White blood cell image segmentation using on-line trained neural network F Yi, Z Chongxun, PAN Chen, LIU Li 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 6476-6479, 2006 | 54 | 2006 |
| Siamese cnn-bilstm architecture for 3D shape representation learning. G Dai, J Xie, Y Fang IJCAI, 670-676, 2018 | 51 | 2018 |
| Deep multimetric learning for shape-based 3D model retrieval J Xie, G Dai, Y Fang IEEE Transactions on Multimedia 19 (11), 2463-2474, 2017 | 48 | 2017 |
| IDSS: deformation invariant signatures for molecular shape comparison YS Liu, Y Fang, K Ramani BMC bioinformatics 10, 1-14, 2009 | 47 | 2009 |
