Munawar Hayat

Dr

Accepting PhD Students

PhD projects

I am actively looking for PhD students who are interested in working on computer vision and deep learning problems such as, adversarial robustness, learning from imbalanced data, learning with limited supervision, incremental learning, and large scale zero shot object detection. Please contact me, if you are interested. Onshore students will be preferred due to current travel restrictions.

20122020

Research activity per year

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Personal profile

Biography

Munawar is a Senior Lecturer at Faculty of IT, Monash University, Melbourne, Australia. He is an ARC DECRA fellow. Munawar completed his PhD in Computer Vision from The University of Western Australia (UWA). His PhD thesis received multiple awards including the prestigious Robert Street Prize. His research interests are in computer vision, machine/deep learning, and affective computing.

Education/Academic qualification

Computer Science, Doctor of Philosophy, University of Western Australia

Award Date: 15 May 2015

Space Science, Masters in Space Science and Technology, Luleå tekniska universitet

Award Date: 1 Dec 2011

Avionics Engineering, Bachelor of Engineering, National University of Sciences and Technology, Pakistan

Award Date: 1 Oct 2009

Research area keywords

  • Computer Vision
  • Deep learning
  • Image Processing
  • Machine Learning
  • Affective Computing

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or
  • AIM 2020 challenge on real image super-resolution: methods and results

    Wei, P., Lu, H., Timofte, R., Lin, L., Zuo, W., Pan, Z., Li, B., Xi, T., Fan, Y., Zhang, G., Liu, J., Han, J., Ding, E., Xie, T., Cao, L., Zou, Y., Shen, Y., Zhang, J., Jia, Y., Cheng, K. & 55 others, Wu, C., Lin, Y., Liu, C., Peng, Y., Zou, X., Luo, Z., Yao, Y., Xu, Z., Zamir, S. W., Arora, A., Khan, S., Hayat, M., Khan, F. S., Ahn, K. H., Kim, J. H., Choi, J. H., Lee, J. S., Zhao, T., Zhao, S., Han, Y., Kim, B. H., Baek, J. H., Wu, H., Xu, D., Zhou, B., Guan, W., Li, X., Ye, C., Li, H., Zhong, H., Shi, Y., Yang, Z., Yang, X., Li, X., Jin, X., Wu, Y., Pang, Y., Liu, S., Liu, Z. S., Wang, L. W., Li, C. T., Cani, M. P., Siu, W. C., Zhou, Y., Umer, R. M., Micheloni, C., Cong, X., Gupta, R., Ahn, K. H., Kim, J. H., Choi, J. H., Lee, J. S., Almasri, F., Vandamme, T. & Debeir, O., 2020, Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 Proceedings, Part III. Bartoli, A. & Fusiello, A. (eds.). Cham Switzerland: Springer, p. 392-422 31 p. (Lecture Notes in Computer Science; vol. 12537 , no. Part III).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    3 Citations (Scopus)
  • A self-supervised approach for adversarial robustness

    Naseer, M., Khan, S., Hayat, M., Khan, F. S. & Porikli, F., 2020, Proceedings - 33th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020. Liu, C., Mori, G., Saenko, K. & Savarese, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 259-268 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    1 Citation (Scopus)
  • CycleISP: real image restoration via improved data synthesis

    Zamir, S. W., Arora, A., Khan, S., Hayat, M., Khan, F. S., Yang, M-H. & Shao, L., 2020, Proceedings - 33th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020. Liu, C., Mori, G., Saenko, K. & Savarese, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2693-2702 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    4 Citations (Scopus)
  • Deeply supervised discriminative learning for adversarial defense

    Mustafa, A., Khan, S. H., Hayat, M., Goecke, R., Shen, J. & Shao, L., 5 Mar 2020, (Accepted/In press) In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 13 p.

    Research output: Contribution to journalArticleResearchpeer-review

  • Fused geometry augmented images for analyzing textured mesh

    Taha, B., Hayat, M., Berretti, S. & Werghi, N., 2020, Smart Multimedia : Second International Conference, ICSM 2019 San Diego, CA, USA, December 16–18, 2019 Revised Selected Papers. McDaniel, T., Berretti, S., Curcio, I. D. D. & Basu, A. (eds.). Cham Switzerland: Springer, p. 3-12 10 p. (Lecture Notes in Computer Science ; vol. 12015 ).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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