Mr Bo Miao

Grant-Funded Researcher (B)

School of Computer Science and Information Technology

College of Engineering and Information 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.

Date Institution name Country Title
2021 - 2025 University of Western Australia Australia PhD

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 Proceedings, Part VI of the 18th European Conference on Computer Vision (ECCV 2024), as published in Lecture Notes in Computer Science Vol. 15064 (pp. 286-304). Cham, Switzerland: Springer Nature.
DOI Scopus2
2025 Liu, W., Cao, J., Miao, B., Fu, Z., Zhu, X., Ge, J., . . . Mian, A. (2025). Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval.. In IJCAI (pp. 1612-1620). ijcai.org.
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.
Scopus3
2024 Miao, B., Bennamoun, M., Gao, Y., & Mian, A. (2024). Spectrum-guided Multi-granularity Referring Video Object Segmentation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023) (pp. 920-930). Paris, France: IEEE.
DOI Scopus54 WoS31
2023 Miao, B., Bennamoun, M., Gao, Y., & Mian, A. (2023). Regional Video Object Segmentation by Efficient Motion-Aware Mask Propagation. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2022) (pp. 1-6). Sydney, Australia & virtual online: 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 Scopus17
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 Scopus34 WoS21
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 WoS4
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 Scopus23 WoS14

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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