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Rongkai Ma
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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
562022
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
412022
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
312022
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
132022
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
42021
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
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Articles 1–8