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
2022
Conference Publication
A unified 3D human motion synthesis model via conditional variational auto-encoder
Cai, Yujun, Wang, Yiwei, Zhu, Yiheng, Cham, Tat-Jen, Cai, Jianfei, Yuan, Junsong, Liu, Jun, Zheng, Chuanxia, Yan, Sijie, Ding, Henghui, Shen, Xiaohui, Liu, Ding and Thalmann, Nadia Magnenat (2022). A unified 3D human motion synthesis model via conditional variational auto-encoder. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV48922.2021.01144
2022
Journal Article
MonaGO: a novel gene ontology enrichment analysis visualisation system
Xin, Ziyin, Cai, Yujun, Dang, Louis T., Burke, Hannah M. S., Revote, Jerico, Charitakis, Natalie, Bienroth, Denis, Nim, Hieu T., Li, Yuan-Fang and Ramialison, Mirana (2022). MonaGO: a novel gene ontology enrichment analysis visualisation system. BMC Bioinformatics, 23 (1) 69. doi: 10.1186/s12859-022-04594-1
2022
Conference Publication
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction
Wang, Yiwei, Chen, Muhao, Zhou, Wenxuan, Cai, Yujun, Liang, Yuxuan and Hooi, Bryan (2022). GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Seattle, WA, United States, 10-15 July 2022. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2022.findings-naacl.128
2022
Conference Publication
Geometry-guided progressive NeRF for generalizable and efficient neural human rendering
Chen, Mingfei, Zhang, Jianfeng, Xu, Xiangyu, Liu, Lijuan, Cai, Yujun, Feng, Jiashi and Yan, Shuicheng (2022). Geometry-guided progressive NeRF for generalizable and efficient neural human rendering. 17th European Conference on Computer Vision ECCV 2022, Tel Aviv, Israel, 23-27 October 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-20050-2_14
2022
Conference Publication
Heatmap Distribution Matching for Human Pose Estimation
Qu, Haoxuan, Xu, Li, Cai, Yujun, Foo, Lin Geng and Liu, Jun (2022). Heatmap Distribution Matching for Human Pose Estimation. 36th Conference on Neural Information Processing Systems (NeurIPS), Electr Network, Nov 28-Dec 09, 2022. LA JOLLA: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS).
2021
Conference Publication
Adaptive data augmentation on temporal graphs
Wang, Yiwei, Cai, Yujun, Liang, Yuxuan, Ding, Henghui, Wang, Changhu, Bhatia, Siddharth and Hooi, Bryan (2021). Adaptive data augmentation on temporal graphs. NIPS'21: 35th International Conference on Neural Information Processing Systems, Virtual, 6-14 December 2021. Maryland Heights, MO USA: Morgan Kaufmann Publishers. doi: 10.5555/3540261
2021
Journal Article
3D hand pose estimation using synthetic data and weakly labeled RGB images
Cai, Yujun, Ge, Liuhao, Cai, Jianfei, Thalmann, Nadia Magnenat and Yuan, Junsong (2021). 3D hand pose estimation using synthetic data and weakly labeled RGB images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (11), 3739-3753. doi: 10.1109/TPAMI.2020.2993627
2021
Conference Publication
Mixup for node and graph classification
Wang, Yiwei, Wang, Wei, Liang, Yuxuan, Cai, Yujun and Hooi, Bryan (2021). Mixup for node and graph classification. WWW '21: The Web Conference 2021, Ljubljana, Slovenia, 19-23 April 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3442381.3449796
2021
Conference Publication
CurGraph: curriculum learning for graph classification
Wang, Yiwei, Wang, Wei, Liang, Yuxuan, Cai, Yujun and Hooi, Bryan (2021). CurGraph: curriculum learning for graph classification. WWW '21: The Web Conference 202, Ljubljana, Slovenia, 19-23 April 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3442381.3450025
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, 27 October-2 November 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. 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. 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City Ut, Jun 18-23, 2018. NEW YORK: 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.
Supervision history
Current supervision
-
Doctor Philosophy
Multi-Modal Perception for Context-Aware Systems
Principal Advisor
-
Doctor Philosophy
Multimodal Learning for Advanced Graph Data Analysis
Associate Advisor
Other advisors: Dr Ruihong Qiu
Media
Enquiries
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