Bo Miao

Bo Miao

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Bo Miao is a postdoctoral researcher at the Centre for Augmented Reasoning, AIML Adelaide. His research interest mainly lies in computer vision, vision-and-language, intelligent robotics, and video understanding. He serves as a conference reviewer for NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, AAAI, IROS, etc. He also served as a Session Co-Chair of IROS 2021.

  • Journals
    Year Citation
    2024 Miao, B., Bennamoun, M., Gao, Y., Shah, M., & Mian, A. (2024). Temporally Consistent Referring Video Object Segmentation With Hybrid Memory. IEEE Transactions on Circuits and Systems for Video Technology, 34(11), 11373-11385.
    DOI Scopus1
    2024 Miao, B., Bennamoun, M., Gao, Y., & Mian, A. (2024). Region Aware Video Object Segmentation With Deep Motion Modeling. IEEE Transactions on Image Processing, 33, 2639-2651.
    DOI Scopus4
    2019 Miao, B., Zhang, L. L., Guan, J. L., Meng, Q. F., & Zhang, Y. L. (2019). Classification of ADHD Individuals and Neurotypicals Using Reliable RELIEF: A Resting-State Study. IEEE Access, 7, 62163-62171.
    DOI Scopus40

  • Book Chapters
    Year Citation
    2025 Wu, Z., Feng, M., Wang, Y., Xie, H., Dong, W., Miao, B., & Mian, A. (2025). External Knowledge Enhanced 3D Scene Generation from Sketch. In Lecture Notes in Computer Science (pp. 286-304). Springer Nature Switzerland.
    DOI

  • Conference Papers
    Year Citation
    2024 Miao, B., Mingtao, F., Zijie, W., Mohammed, B., Yongsheng, G., & Ajmal, M. (2024). Referring Human Pose and Mask Estimation in the Wild. In Advances in neural information processing systems. Vancouver, Canada.
    2024 Miao, B., Bennamoun, M., Gao, Y., & Mian, A. (2024). Spectrum-guided Multi-granularity Referring Video Object Segmentation. In Proceedings of the IEEE International Conference on Computer Vision (pp. 920-930). Paris, France: IEEE.
    DOI Scopus22
    2023 Miao, B., Bennamoun, M., Gao, Y., & Mian, A. (2023). Regional Video Object Segmentation by Efficient Motion-Aware Mask Propagation. In 2022 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2022 (pp. 1-6). Sydney, Australia: IEEE.
    DOI Scopus1
    2022 Miao, B., Bennamoun, M., Gao, Y., & Mian, A. (2022). Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation. In Proceedings - IEEE International Conference on Multimedia and Expo Vol. 2022-July (pp. 1-6). Taipei, Taiwan: IEEE.
    DOI Scopus13
    2021 Miao, B., Zhou, L., Mian, A. S., Lam, T. L., & Xu, Y. (2021). Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition. In IEEE International Conference on Intelligent Robots and Systems (pp. 2069-2075). IEEE.
    DOI Scopus27
    2019 Miao, B., Guan, J., Zhang, L., Meng, Q., & Zhang, Y. (2019). Automated Epileptic Seizure Detection Method Based on the Multi-attribute EEG Feature Pool and mRMR Feature Selection Method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11538 LNCS (pp. 45-59). Springer International Publishing.
    DOI Scopus4
    2017 Miao, B., & Zhang, Y. (2017). A feature selection method for classification of ADHD. In ICCSS 2017 - 2017 International Conference on Information, Cybernetics, and Computational Social Systems (pp. 21-25). IEEE.
    DOI Scopus22

  • Preprint
    Year Citation
    2024 Liu, W., Miao, B., Cao, J., Zhu, X., Liu, B., Nasim, M., & Mian, A. (2024). Context-Enhanced Video Moment Retrieval with Large Language Models.
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