| 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 | 15941 | 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 | 2446 | 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 | 1863 | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1250 | 2023 |
| 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 | 861 | 2017 |
| 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 | 766 | 2016 |
| 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 | 563 | 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 | 536 | 2017 |
| PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds M Xu, R Ding, H Zhao, X Qi Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 485 | 2021 |
| Controllable text-to-image generation B Li, X Qi, T Lukasiewicz, P Torr Conference on Neural Information Processing Systems (NeurIPS), 2063-2073, 2019 | 430 | 2019 |
| Stratified Transformer for 3D Point Cloud Segmentation X Lai, J Liu, L Jiang, L Wang, H Zhao, S Liu, X Qi, J Jia Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 414 | 2022 |
| 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 | 412 | 2018 |
| 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 | 395 | 2018 |
| ManiGAN: Text-Guided Image Manipulation B Li, X Qi, T Lukasiewicz, PHS Torr Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 333 | 2020 |
| Global Texture Enhancement for Fake Face Detection in the Wild Z Liu, X Qi, P Torr Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 324 | 2020 |
| Is synthetic data from generative models ready for image recognition? R He, S Sun, X Yu, C Xue, W Zhang, P Torr, S Bai, X Qi International Conference on Learning Representations (ICLR), 2023 | 253 | 2023 |
| 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 | 244 | 2018 |
| Unifying Voxel-based Representation with Transformer for 3D Object Detection Y Li, Y Chen, X Qi, Z Li, J Sun, J Jia Advances in Neural Information Processing Systems (NeurIPS), 2022 | 239 | 2022 |
| VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking Y Chen, J Liu, X Zhang, X Qi, J Jia Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 224 | 2023 |
| ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection J Yang, S Shi, Z Wang, H Li, X Qi Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 220 | 2021 |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKcse.ust.hk의 이메일 확인됨