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Mr Debajyoti Karmaker

PhD Student
Queensland Brain Insitute
d.karmaker@uq.edu.au

Publications

Journal Article (1)
Conference Papers (4)
Thesis (1)

Journal Article

Karmaker, Debajyoti, Groening, Julia, Wilson, Michael, Schiffner, Ingo and Srinivasan, Mandyam V. (2020). Budgerigars adopt robust, but idiosyncratic flight paths. Scientific Reports, 10 (1) 2535, 2535. doi: 10.1038/s41598-020-59013-3

Conference Papers

Molloy, Timothy L., Garden, Grace S., Perez, Tristan, Schiffner, Ingo, Karmaker, Debajyoti and Srinivasan, Mandyam V. (2018). An inverse differential game approach to modelling bird mid-air collision avoidance behaviours. Kidlington, United Kingdom: Elsevier. doi: 10.1016/j.ifacol.2018.09.164
Karmaker, Debajyoti, Schiffner, Ingo, Wilson, Michael and Srinivasan, Mandyam V. (2018). The bird gets caught by the WORM: tracking multiple deformable objects in noisy environments using weight ORdered logic maps. 13th International Symposium, ISVC 2018, Las Vegas, NV, United States, 19-21 November 2018. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-03801-4_30
Karmaker, Debajyoti, Schiffner, Ingo, Wilson, Michael and Srinivasan, Mandyam V. (2018). Image denoising with Weighted ORientation-Matched filters(WORM). IEEE International Conference on Robotics and Biomimetics (ROBIO), Kuala Lumpur Malaysia, 12-15 December 2018. Piscataway, NJ United States: IEEE. doi: 10.1109/ROBIO.2018.8665336
Karmaker, Debajyoti, Schiffner, Ingo, Strydom, Reuben and Srinivasan, Mandyam V (2017). WHoG: a weighted HOG-based scheme for the detection of birds and identification of their poses in natural environments. 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Phuket, Thailand, 13 - 15 November 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICARCV.2016.7838650

Thesis

Karmaker, Debajyoti (2019). Mid-air collision avoidance in Budgerigars and potential applications to UAV guidance. PhD Thesis, Queensland Brain Institute, The University of Queensland. doi: 10.14264/f561a65
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