| Rethinking generalization in few-shot classification M Hiller*, R Ma*, M Harandi, T Drummond Advances in Neural Information Processing Systems (NeurIPS) 35, 3582 - 3595, 2022 | 114 | 2022 |
| Adaptive poincaré point to set distance for few-shot classification R Ma, P Fang, T Drummond, M Harandi Proceedings of the AAAI conference on artificial intelligence 36 (2), 1926-1934, 2022 | 71 | 2022 |
| Looking beyond two frames: End-to-end multi-object tracking using spatial and temporal transformers T Zhu, M Hiller, M Ehsanpour, R Ma, T Drummond, I Reid, H Rezatofighi IEEE transactions on pattern analysis and machine intelligence 45 (11 …, 2022 | 70 | 2022 |
| Learning instance and task-aware dynamic kernels for few-shot learning R Ma, P Fang, G Avraham, Y Zuo, T Zhu, T Drummond, M Harandi European Conference on Computer Vision, 257-274, 2022 | 17 | 2022 |
| Learning online for unified segmentation and tracking models T Zhu*, R Ma*, M Harandi, T Drummond 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 4 | 2021 |
| The Investigation of Interlayer Water on the Drying Deformation of C–S–H: An ANN-Assisted MD Simulation Approach Y Ouyang, R Ma, Z Zhao, Y Song, T Zhang, T Shi ACS omega 10 (12), 12626-12635, 2025 | 1 | 2025 |
| Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields R Ma, L Lebrat, RS Cruz, G Avraham, Y Zuo, C Fookes, O Salvado arXiv preprint arXiv:2401.16144, 2024 | | 2024 |
| Learning Adaptively with Few Observations and its Applications in Computer Vision R Ma Monash University, 2022 | | 2022 |
| Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning Supplementary Material R Ma, P Fang, G Avraham, Y Zuo, T Zhu, T Drummond, M Harandi | | |
Tom DrummondMelbourne Connect Chair, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
