Dr Piotr Koniusz

Principal Research Scientist at Data61/CSIRO + Associate Professor at the ANU

20162025

Research activity per year

Personal profile

Biography

A Principal Research Scientist in Machine Learning at Data61/CSIRO, and a Honorary Associate Professor at the Australian National University (ANU). In 2013-2015, he was a postdoctoral researcher in the team LEAR, INRIA, France. He received his BSc in Telecommunications and Software Engineering in 2004 from the Warsaw University of Technology, Poland, and completed his PhD in Computer Vision in 2013 at CVSSP, University of Surrey, UK. With his PhD students, he has received several awards such as the Sang Uk Lee Best Student Paper Award from ACCV’22, andthe Runner-up APRS/IAPR Best Student Paper Award from DICTA’22. He has been selected as an outstanding Area Chair by ICLR 2021–2023. He serves as a Workshop Program Chair for NeurIPS’23 and Senior Area Chair for NeurIPS’23, ICLR’24 and AAAI’24 and ICML’24.

Qualifications

PhD

Research Interests

Foundation Models, Representation Learning, Graph Learning, Few-shot Learning.

See:

www.koniusz.com

 

Accepthing strong candidates for PhD study. Must have A* publicatons such as CVPR, ECCV, ICCV, AAAI, WACV, BMVC, ICLR, NeurIPS, ICML, KDD, WWW, TPAMI, or similar high quality output.

Research student supervision

  • Registered to supervise

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Collaborations and top research areas from the last five years

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  • Adaptive Multi-head Contrastive Learning

    Wang, L., Koniusz, P., Gedeon, T. & Zheng, L., 2025, Computer Vision – ECCV 2024: 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Nature, p. 404-421 18 p. (Lecture Notes in Computer Science; vol. 15127).

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

    5 Citations (Scopus)
  • OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection

    Lu, C., Liu, Z. & Koniusz, P., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science+Business Media B.V., p. 148-165 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15077 LNCS).

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

    4 Citations (Scopus)
  • Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap

    Dong, J., Koniusz, P., Chen, J. & Ong, Y. S., 2024, Computer Vision-eccv 2024, Pt Iv. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science+Business Media B.V., Vol. 15062. p. 92-111 20 p. (Lecture Notes In Computer Science).

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

    2 Citations (Scopus)
  • Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners

    Dong, J., Koniusz, P., Chen, J., Xie, X. & Ong, Y. S., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society, p. 28535-28544 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    4 Citations (Scopus)
  • CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization

    Ni, Y. & Koniusz, P., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society, p. 6763-6774 12 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    13 Citations (Scopus)