CV

Internship

  • Research Engineer. 2017. Monash University Robotic Lab.

Education

  • Ph.D. Mar, 2019 – Dec, 2022. Monash University (ECSE).
  • B.E. 2016. Monash University (ECSE).
  • B.E. 2013. Central South University (EE).

Papers

Refereed journal articles

  • Tianyu Zhu, Markus Hiller, Mahsa Ehsanpour, Rongkai Ma, Tom Drummond, Ian Reid, Hamid Rezatofighi. 2022. Looking beyond two frames: End-to-end multi-object tracking using spatial and temporal transformers. In IEEE Transactions on Pattern Analysis and Machine Intelligence.

Refereed conference papers

  • Rongkai Ma, Pengfei Fang, Gil Avrahham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi. 2022. Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. In Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings.
  • Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi. 2022. Adaptive Poincaré point to set distance for few-shot classification. In Proceedings of the 36th AAAI conference on artificial intelligence.
  • Markus Hiller*, Rongkai Ma*, Mehrtash Harandi, Tom Drummond. 2022. Rethinking Generalization in Few-Shot Classification. In Advances in Neural Information Processing Systems (NeurIPS) 35.
  • Tianyu Zhu*, Rongkai Ma*, Mehrtash Harandi, Tom Drummond. 2021. Learning Online for Unified Segmentation and Tracking Models. In 2021 International Joint Conference on Neural Networks (IJCNN).
  • Rongkai Ma,Leo Lebrat, Rodrigo Santa Cruz, Gil Avraham, Yan Zuo, Clinton Fookes. 2024. Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. In arxiv.

Awards

  • International Postgraduate Tuition Scholarship. 2019. Monash University.
  • Monash Graduate Scholarship. 2018. Monash University.

Teaching

University courses

  • Artificial Neural Network and Deep Learning. 2019. as TA.

Service

Research community

  • Reviewer. AAAI, TIP.

Working Experience

  • Research Fellow. 2023–present. Data61 ICVG.