Overview
Availability
- Dr Yujun Cai is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Electrical Engineering and Computer Science, Nanyang Technological University
Works
Search Professor Yujun Cai’s works on UQ eSpace
2021
Conference Publication
Progressive supervision for node classification
Wang, Yiwei, Wang, Wei, Liang, Yuxuan, Cai, Yujun and Hooi, Bryan (2021). Progressive supervision for node classification. European Conference, ECML PKDD 2020, Ghent, Belgium, 14-18 September 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-67658-2_16
2021
Conference Publication
Direct multi-view multi-person 3D pose estimation
Wang, Tao, Zhang, Jianfeng, Cai, Yujun, Yan, Shuicheng and Feng, Jiashi (2021). Direct multi-view multi-person 3D pose estimation. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 6-14 December 2021. Maryland Heights, MO, United States: Morgan Kaufmann Publishers.
2020
Conference Publication
Detecting implementation bugs in graph convolutional network based node classifiers
Wang, Yiwei, Wang, Wei, Cai, Yujun, Hooi, Bryan and Ooi, Beng Chin (2020). Detecting implementation bugs in graph convolutional network based node classifiers. 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE), Coimbra, Portugal, 12-15 October 2020. Piscataway, NJ USA: IEEE Computer Society. doi: 10.1109/ISSRE5003.2020.00037
2020
Conference Publication
NodeAug: semi-supervised node classification with data augmentation
Wang, Yiwei, Wang, Wei, Liang, Yuxuan, Cai, Yujun, Liu, Juncheng and Hooi, Bryan (2020). NodeAug: semi-supervised node classification with data augmentation. KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual, 6-10 July 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3394486.3403063
2020
Conference Publication
DeepEMD: few-shot image classification with differentiable Earth Mover's Distance and structured classifiers
Zhang, Chi, Cai, Yujun, Lin, Guosheng and Shen, Chunhua (2020). DeepEMD: few-shot image classification with differentiable Earth Mover's Distance and structured classifiers. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA USA, 13-19 June 2020. Piscataway, NJ USA: IEEE Computer Society. doi: 10.1109/CVPR42600.2020.01222
2020
Conference Publication
Learning Progressive Joint Propagation for Human Motion Prediction
Cai, Yujun, Huang, Lin, Wang, Yiwei, Cham, Tat-Jen, Cai, Jianfei, Yuan, Junsong, Liu, Jun, Yang, Xu, Zhu, Yiheng, Shen, Xiaohui, Liu, Ding, Liu, Jing and Thalmann, Nadia Magnenat (2020). Learning Progressive Joint Propagation for Human Motion Prediction. Computer Vision – ECCV 2020 16th European Conference, Glasgow, United Kingdom, 23-28 August 2020. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-58571-6_14
2019
Conference Publication
Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks
Cai, Yujun, Ge, Liuhao, Liu, Jun, Cai, Jianfei, Cham, Tat-Jen, Yuan, Junsong and Thalmann, Nadia Magnenat (2019). Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul South Korea, Oct 27-Nov 02, 2019. LOS ALAMITOS: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICCV.2019.00236
2018
Conference Publication
Hand PointNet: 3D Hand Pose Estimation Using Point Sets
Ge, Liuhao, Cai, Yujun, Weng, Junwu and Yuan, Junsong (2018). Hand PointNet: 3D Hand Pose Estimation Using Point Sets. IEEE Computer Society. doi: 10.1109/CVPR.2018.00878
2018
Conference Publication
Weakly-supervised 3D hand pose estimation from monocular RGB images
Cai, Yujun, Ge, Liuhao, Cai, Jianfei and Yuan, Junsong (2018). Weakly-supervised 3D hand pose estimation from monocular RGB images. Springer Verlag. doi: 10.1007/978-3-030-01231-1_41
Supervision
Availability
- Dr Yujun Cai is:
- Available for supervision
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Available projects
-
Multi-Modal Perception for Context-Aware Systems
Develop algorithms for multi-modal perception, integrating visual, textual and other data modalities to enhance contextual understanding.
Media
Enquiries
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