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Xun Xu
Xun Xu
Senior Scientist at I2R, A-STAR
Verified email at i2r.a-star.edu.sg - Homepage
Title
Cited by
Cited by
Year
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
2342020
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
1992017
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
1512015
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
1492016
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
1132021
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
1022019
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
702022
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
692021
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
482022
Motion Segmentation by Exploiting Complementary Geometric Models
X Xu, LF Cheong, Z Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
452018
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
412021
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
402019
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
372016
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 33 (12), 7723 …, 2023
302023
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving
J Lin, Z Liang, S Deng, L Cai, T Jiang, T Li, K Jia, X Xu
IEEE Transactions on Intelligent Transportation Systems, 2024
262024
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
19*2021
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Y Su, X Xu, K Jia
AAAI Conference on Artificial Intelligence 2024, 2024
182024
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
182018
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
Y Li, X Xu, Y Su, K Jia
IEEE/CVF International Conference on Computer Vision 2023, 2023
172023
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
162023
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