Always clear, engaging, and insightful.
Good lectures and teaching. Helpful to students, knowledgeable, and passionate about computer vision
About Dylan
Dylan Campbell is a Senior Lecturer in Computing at the Australian National University (ANU), where he also serves as ARC DECRA Fellow (2025–), VComp Convener, and PhB Convener. He was promoted to Senior Lecturer, equivalent to Associate Professor in the US/Europe, effective 2026. His research interests encompass computer vision, optimisation, machine learning, and robotics, with particular expertise in 3D vision and optimisation for deep learning. He has investigated geometric sensor data alignment problems including camera localisation, simultaneous localisation and mapping, structure from motion, and optical flow; 3D representations such as neural radiance fields; and differentiable optimisation layers for inserting constrained optimisation into deep learning systems. Current interests include discovering and exploiting symmetries in data and optimisation techniques for efficient neural network training.
Campbell earned a PhD from ANU in 2018 for research on geometric vision problems conducted at Data61/CSIRO and NICTA under supervisors Lars Petersson, Laurent Kneip, and Hongdong Li. He holds a BE in Mechatronic Engineering (Hons) from the University of New South Wales, awarded in 2012. Prior to his current role, he was a Research Fellow in the Visual Geometry Group at the University of Oxford under Andrea Vedaldi and João Henriques, and a Research Fellow at the Australian Centre for Robotic Vision at ANU under Stephen Gould. He has co-organised workshops and tutorials including those on Deep Declarative Networks at CVPR 2020 and ECCV 2020, served as reviewer for conferences such as CVPR, ICCV, ECCV, and AAAI and journals including TPAMI and IJCV, and supervised multiple PhD, masters, and honours students. Awards include the Marr Prize Honourable Mention at ICCV 2017, first prize in the IEEE Australia Council Postgraduate Student Paper Competition in 2018, the APRS Early Career Researcher Award in 2023, the ACS Service Award in 2025, Best Presentation Award at the 2022 Rank Prize Symposium on Neural Rendering, Outstanding Reviewer at ECCV 2022, Student Engineer of the Year from Engineers Australia in 2013, and the University Medal from UNSW in 2012. He has contributed to numerous publications in venues including CVPR, ICCV, ECCV, NeurIPS, and TPAMI.

