| Pyramid scene parsing network H Zhao, J Shi, X Qi, X Wang, J Jia Conference on Computer Vision and Pattern Recognition (CVPR), 2881-2890, 2017 | 4778 | 2017 |
| H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes X Li, H Chen, X Qi, Q Dou, CW Fu, PA Heng IEEE Transactions on Medical Imaging (TMI), 2018 | 670 | 2018 |
| Icnet for real-time semantic segmentation on high-resolution images H Zhao, X Qi, X Shen, J Shi, J Jia European Conference on Computer Vision (ECCV), 2018 | 639 | 2018 |
| DCAN: deep contour-aware networks for accurate gland segmentation H Chen, X Qi, L Yu, PA Heng Conference on Computer Vision and Pattern Recognition (CVPR), 2487-2496, 2016 | 388 | 2016 |
| Gland segmentation in colon histology images: The glas challenge contest K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ... Medical Image Analysis (MedIA) 35, 489-502, 2017 | 313 | 2017 |
| DCAN: Deep contour-aware networks for object instance segmentation from histology images H Chen, X Qi, L Yu, Q Dou, J Qin, PA Heng Medical Image Analysis (MedIA) 36, 135-146, 2017 | 272 | 2017 |
| 3d graph neural networks for rgbd semantic segmentation X Qi, R Liao, J Jia, S Fidler, R Urtasun International Conference on Computer Vision (ICCV), 5199-5208, 2017 | 257 | 2017 |
| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 191 | 2019 |
| GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation X Qi, R Liao, Z Liu, R Urtasun, J Jia Conference on Computer Vision and Pattern Recognition (CVPR), 283-291, 2018 | 169 | 2018 |
| Deep Contextual Networks for Neuronal Structure Segmentation. H Chen*, X Qi*, JZ Cheng, PA Heng Association for the Advancement of Artificial Intelligence (AAAI), 1167-1173, 2016 | 138 | 2016 |
| Augmented feedback in semantic segmentation under image level supervision X Qi, Z Liu, J Shi, H Zhao, J Jia European Conference on Computer Vision (ECCV), 90-105, 2016 | 114 | 2016 |
| Image Inpainting via Generative Multi-column Convolutional Neural Networks Y Wang, X Tao, X Qi, X Shen, J Jia Conference on Neural Information Processing Systems (NeurIPS), 329-338, 2018 | 108 | 2018 |
| Semi-parametric Image Synthesis X Qi, Q Chen, J Jia, V Koltun Conference on Computer Vision and Pattern Recognition (CVPR), 8808-8816, 2018 | 85 | 2018 |
| Multi-scale patch aggregation (mpa) for simultaneous detection and segmentation S Liu, X Qi, J Shi, H Zhang, J Jia Conference on Computer Vision and Pattern Recognition (CVPR), 3141-3149, 2016 | 76 | 2016 |
| 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images X Li, Q Dou, H Chen, CW Fu, X Qi, DL Belavý, G Armbrecht, D Felsenberg, ... Medical Image Analysis (MedIA) 45, 41-54, 2018 | 69 | 2018 |
| Gal: Geometric adversarial loss for single-view 3d-object reconstruction L Jiang, S Shi, X Qi, J Jia European Conference on Computer Vision (ECCV), 820-834, 2018 | 68 | 2018 |
| Referring Image Segmentation via Recurrent Refinement Networks R Li, K Li, YC Kuo, M Shu, X Qi, X Shen, J Jia Conference on Computer Vision and Pattern Recognition (CVPR), 5745-5753, 2018 | 53 | 2018 |
| Controllable text-to-image generation B Li, X Qi, T Lukasiewicz, P Torr Conference on Neural Information Processing Systems (NeurIPS), 2063-2073, 2019 | 50 | 2019 |
| Human pose estimation with spatial contextual information H Zhang, H Ouyang, S Liu, X Qi, X Shen, R Yang, J Jia arXiv preprint arXiv:1901.01760, 2019 | 38 | 2019 |
| Improved Techniques for Training Adaptive Deep Networks H Li, H Zhang, X Qi, R Yang, G Huang International Conference on Computer Vision (ICCV), 1891-1900, 2019 | 31 | 2019 |
Jiaya JiaProfessor, CUHK在 cse.cuhk.edu.hk 的电子邮件经过验证
