| Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels X Xu, GH Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 207 | 2020 |
| Transductive zero-shot action recognition by word-vector embedding X Xu, T Hospedales, S Gong International Journal of Computer Vision 123 (3), 309-333, 2017 | 195 | 2017 |
| Semantic embedding space for zero-shot action recognition X Xu, T Hospedales, S Gong 2015 IEEE International Conference on Image Processing (ICIP), 63-67, 2015 | 148 | 2015 |
| Multi-task zero-shot action recognition with prioritised data augmentation X Xu, TM Hospedales, S Gong Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 144 | 2016 |
| C3AE: Exploring the limits of compact model for age estimation C Zhang, S Liu, X Xu, C Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 99 | 2019 |
| 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding S Deng, X Xu, C Wu, K Chen, K Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 90 | 2021 |
| Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs L Cai, X Xu, JH Liew, CS Foo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 62 | 2021 |
| On representation knowledge distillation for graph neural networks CK Joshi, F Liu, X Xun, J Lin, CS Foo IEEE Transactions on Neural Networks and Learning Systems, 2022 | 61 | 2022 |
| Motion Segmentation by Exploiting Complementary Geometric Models X Xu, LF Cheong, Z Li IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 | 44 | 2018 |
| 3D Rigid Motion Segmentation with Mixed and Unknown Number of Models X Xu, LF Cheong, Z Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 39 | 2019 |
| Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach X Shi, X Xu, K Chen, L Cai, CS Foo, K Jia arXiv preprint arXiv:2101.06931, 2021 | 38 | 2021 |
| Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization X Xu, TM Hospedales, S Gong IEEE Transactions on Circuits and Systems for Video Technology, 1-1, 2016 | 37 | 2016 |
| Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Y Su, X Xu, K Jia Advances in Neural Information Processing Systems 2022, 2022 | 32 | 2022 |
| Weakly supervised 3D point cloud segmentation via multi-prototype learning Y Su, X Xu, K Jia IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 23 | 2023 |
| Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving Z Liang, X Xu, S Deng, L Cai, T Jiang, K Jia arXiv preprint arXiv:2205.07708, 2022 | 18 | 2022 |
| Learning clustering for motion segmentation X Xu, L Zhang, LF Cheong, Z Li, C Zhu IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 908-919, 2021 | 18* | 2021 |
| Visual aesthetic understanding: sample-specific aesthetic classification and deep activation map visualization C Zhang, C Zhu, X Xu, Y Liu, J Xiao, T Tillo Signal Processing: Image Communication 67, 12-21, 2018 | 18 | 2018 |
| Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images N Liu, X Xu, T Celik, Z Gan, HC Li IEEE Transactions on Geoscience and Remote Sensing, 2023 | 11 | 2023 |
| Automated Detection and Segmentation of HBMs in 3D X-ray Images using Semi-Supervised Deep Learning RS Pahwa, R Chang, W Jie, X Xun, OZ Min, FC Sheng, CS Choong, ... 2022 IEEE 72nd Electronic Components and Technology Conference (ECTC), 1890-1897, 2022 | 9 | 2022 |
| Exploring Spatial Diversity for Region-Based Active Learning L Cai, X Xu, L Zhang, CS Foo IEEE Transactions on Image Processing 30, 8702-8712, 2021 | 9 | 2021 |
Kui Jia (贾奎)The Chinese University of Hong Kong, Shenzhen在 cuhk.edu.cn 的电子邮件经过验证
