Researcher Profiles

Samya Bagchi

Higher Degree by Research Candidate

HDR Student

School of Computer Science

Faculty of Sciences, Engineering and Technology

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Conference Papers

Year	Citation
2020	Bagchi, S., & Chin, T. J. (2020). Event-based star tracking via multiresolution progressive hough transforms. In Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020 Vol. abs/1906.07866 (pp. 2132-2141). online: IEEE. DOI Scopus3 WoS2
2019	Chin, T. J., Bagchi, S., Eriksson, A., & Van Schaik, A. (2019). Star tracking using an event camera. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2019) Vol. 2019-June (pp. 1646-1655). online: IEEE. DOI Scopus10 WoS4
2018	Bagchi, S., & McDonnell, M. D. (2018). A model of neurobiologically plausible least-squares learning in visual cortex. In Proceedings of the International Joint Conference on Neural Networks Vol. 2018-July (pp. 1-8). Rio de Janeiro, Brazil: IEEE. DOI

Position: HDR Student
Email: samya.bagchi@adelaide.edu.au
Campus: North Terrace
Building: Australian Institute for Machine Learning, floor 2
Org Unit: Australian Institute for Machine Learning - Operations

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