Bo Miao

Bo Miao

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Dr. 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 Scopus5
    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 Scopus8
    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 Scopus41

  • Conference Papers
    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 Vol. 15064 LNCS (pp. 286-304). Milan, Italy: Springer Nature Switzerland.
    DOI
    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 Vol. 37. 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 Scopus30
    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 Scopus3
    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 Scopus15
    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). Prague, Czech Republic: IEEE.
    DOI Scopus30
    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 J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, . . . P. M. A. Sloot (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11538 LNCS (pp. 45-59). PORTUGAL, Faro: SPRINGER INTERNATIONAL PUBLISHING AG.
    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). PEOPLES R CHINA, Dalian: 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.
Connect With Me
External Profiles