Research
Please see https://www.koniusz.com for the details. If you are interested in the above or related topics and want to study for a PhD at the ANU, get in touch with me.
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.
Interests
My research interests include deep learning, foundation models and represenation learning (e.g., transformers, hyperbolic geometry, contrastive learning, self-supervised learning), graph neural networks (node/link predictions, recommendation systems), visual category and action recognition, detection and segmentation, zero-, one- and few shot learning, incremental learning, domain adaptation, GANs and generative models, etc.