| Pyramid Scene Parsing Network H Zhao, J Shi, X Qi, X Wang, J Jia Computer Vision and Pattern Recognition (CVPR), 2017 | 17053 | 2017 |
| Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers S Zheng, J Lu, H Zhao, X Zhu, Z Luo, Y Wang, Y Fu, J Feng, T Xiang, ... Computer Vision and Pattern Recognition (CVPR), 2021 | 3922 | 2021 |
| Point Transformer H Zhao, L Jiang, J Jia, P Torr, V Koltun International Conference on Computer Vision (ICCV), 2021 | 2529 | 2021 |
| 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 | 1963 | 2018 |
| PSANet: Point-wise Spatial Attention Network for Scene Parsing H Zhao*, Y Zhang*, S Liu, J Shi, C Change Loy, D Lin, J Jia European Conference on Computer Vision (ECCV), 2018 | 1321 | 2018 |
| Exploring Self-attention for Image Recognition H Zhao, J Jia, V Koltun Computer Vision and Pattern Recognition (CVPR), 2020 | 1087 | 2020 |
| PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing H Zhao*, L Jiang*, CW Fu, J Jia. Computer Vision and Pattern Recognition (CVPR), 2019 | 922 | 2019 |
| Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data L Yang, B Kang, Z Huang, X Xu, J Feng, H Zhao Computer Vision and Pattern Recognition (CVPR), 2024 | 725 | 2024 |
| Prior Guided Feature Enrichment Network for Few-Shot Segmentation Z Tian, H Zhao^, M Shu, Z Yang, R Li, J Jia Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 | 624 | 2020 |
| Distilling Knowledge via Knowledge Review P Chen, S Liu, H Zhao, J Jia Computer Vision and Pattern Recognition (CVPR), 2021 | 553 | 2021 |
| PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds M Xu*, R Ding*, H Zhao, X Qi Computer Vision and Pattern Recognition (CVPR), 2021 | 542 | 2021 |
| UPSNet: A Unified Panoptic Segmentation Network Y Xiong*, R Liao*, H Zhao*, R Hu, M Bai, E Yumer, R Urtasun Computer Vision and Pattern Recognition (CVPR), 2019 | 534 | 2019 |
| Stratified Transformer for 3D Point Cloud Segmentation X Lai, J Liu, L Jiang, L Wang, H Zhao, S Liu, X Qi, J Jia Computer Vision and Pattern Recognition (CVPR), 2022 | 491 | 2022 |
| PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation L Jiang*, H Zhao*, S Shi, S Liu, CW Fu, J Jia Computer Vision and Pattern Recognition (CVPR), 2020 | 491 | 2020 |
| GridMask Data Augmentation P Chen, L Shu, H Zhao, J Jia arXiv preprint arXiv:2001.04086, 2020 | 445 | 2020 |
| Point Transformer V2: Grouped Vector Attention and Partition-based Pooling X Wu, Y Lao, L Jiang, X Liu, H Zhao Neural Information Processing Systems (NeurIPS), 2022 | 425 | 2022 |
| SegStereo: Exploiting Semantic Information for Disparity Estimation G Yang*, H Zhao*, J Shi, Z Deng, J Jia European Conference on Computer Vision (ECCV), 2018 | 424 | 2018 |
| LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Z Yang, J Wang, Y Tang, K Chen, H Zhao, PHS Torr Computer Vision and Pattern Recognition (CVPR), 2022 | 365 | 2022 |
| Depth Anything V2 L Yang, B Kang, Z Huang, Z Zhao, X Xu, J Feng, H Zhao Neural Information Processing Systems (NeurIPS), 2024 | 312 | 2024 |
| DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model Z Xu, Y Zhang, E Xie, Z Zhao, Y Guo, KKY Wong, Z Li, H Zhao IEEE Robotics and Automation Letters (RA-L), 2024 | 295 | 2024 |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKcse.ust.hk의 이메일 확인됨
