| 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 | 201 | 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 | 150 | 2015 |
| 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 | 132 | 2008 |
| 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 | 121 | 2016 |
| 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 | 116 | 2016 |
| Heat-mapping: A robust approach toward perceptually consistent mesh segmentation Y Fang, M Sun, M Kim, K Ramani CVPR 2011, 2145-2152, 2011 | 65 | 2011 |
| 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 | 61 | 2018 |
| 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 | 57 | 2016 |
| Temperature distribution descriptor for robust 3D shape retrieval Y Fang, M Sun, K Ramani CVPR 2011 WORKSHOPS, 9-16, 2011 | 56 | 2011 |
| 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 | 52 | 2006 |
| 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 | 47 | 2017 |
| Learning object-specific distance from a monocular image J Zhu, Y Fang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 46 | 2019 |
| IDSS: deformation invariant signatures for molecular shape comparison YS Liu, Y Fang, K Ramani BMC bioinformatics 10 (1), 1-14, 2009 | 46 | 2009 |
| Deep correlated metric learning for sketch-based 3d shape retrieval G Dai, J Xie, F Zhu, Y Fang Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 43 | 2017 |
| 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 | 42 | 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 | 41 | 2017 |
| 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 | 39 | 2018 |
| Siamese cnn-bilstm architecture for 3D shape representation learning. G Dai, J Xie, Y Fang IJCAI, 670-676, 2018 | 36 | 2018 |
| 3d-a-nets: 3d deep dense descriptor for volumetric shapes with adversarial networks M Ren, L Niu, Y Fang arXiv preprint arXiv:1711.10108, 2017 | 36 | 2017 |
| Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition T Xu, F Zhu, EK Wong, Y Fang Image and Vision Computing 55, 127-137, 2016 | 36 | 2016 |
