Mr Samya Bagchi
Higher Degree by Research Candidate
School of Computer Science and Information Technology
College of Engineering and Information Technology
| 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 Scopus29 WoS14 |
| 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 Scopus62 WoS40 |
| 2018 | Bagchi, S., & McDonnell, M. D. (2018). A model of neurobiologically plausible least-squares learning in visual cortex. In 2018 International Joint Conference on Neural Networks Vol. 2018-July (pp. 1-8). New York, NY, USA: IEEE. DOI |
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