Dr Tobias Fischer had been a postdoctoral researcher in the Personal Robotics Lab from October 2018 until January 2020. He conducts interdisciplinary research at the intersection of computer vision, cognitive robotics and computational cognition. His research goal is to provide robots with perceptional abilities that allow interactions with humans in a human-like manner. To develop these perceptional abilities, Tobias believes that it is useful to study the principles used by the human visual system. He uses these principles to develop new computer vision algorithms and validates their effectiveness in intelligent robotic systems.
Tobias received his Ph.D. degree from 天美传媒 (also within the Personal Robotics Lab) in January 2019 with the thesis topic: "Perspective Taking in Robots: A Framework and Computational Model". The thesis has been awarded the Queen Mary UK Best Thesis in Robotics Award 2018 and the Eryl Cadwaladr Davies prize 2018. The Ph.D. was funded under the FP7 WYSIWYD project and the Samsung Global Research Outreach program. He received the M.Sc. degree in (Intelligent Robotics specialist area) from The University of Edinburgh, Scotland, in August 2014, and a B.Sc. degree in Computer Engineering (Cognitive systems specialist area) from Ilmenau University of Technology, Germany, in 2013. He wrote his Bachelor thesis in John Tsotsos’ , at the York University, Toronto, Canada.
From February 2012 until August 2014, he was a scholarship holder at the prestigious , which covered full tuition fees plus a living allowance. From October 2011 to September 2012, he received the Germany Scholarship (Deutschlandstipendium).
More information can be found on his .
Publications
Please see my for up-to-date publications (list below last updated in January 2020).
Journals
→ T. Fischer and Y. Demiris (2019) IEEE Transactions on Cognitive and Developmental Systems (TCDS 2019), to appear
→ T. Fischer, J.-Y. Puigbo, D. Camilleri, P. Nguyen, C. Moulin-Frier, S. Lallee, G. Metta, T. J. Prescott, Y. Demiris, and P. F. M. J. Verschure (2018) Frontiers in Robotics and AI (FRAI 2018), vol. 5, no. 22, pp. 1-9
→ H.J. Chang, T. Fischer, M. Petit, M. Zambelli, and Y. Demiris (2018) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2018), vol. 40, no. 12, pp. 2920-2934
→ T. Fischer*, C. Moulin-Frier*, M. Petit, G. Pointeau, J.-Y. Puigbo, U. Pattacini, S. C. Low, D. Camilleri, P. Nguyen, M. Hoffmann, H. J. Chang, M. Zambelli, A.-L. Mealier, A. Damianou, G. Metta, T. J. Prescott, Y. Demiris, P. F. Dominey, and P. F. M. J. Verschure IEEE Transactions on Cognitive and Developmental Systems (TCDS 2018), vol. 10, no. 4, pp. 1005-1022
*: equal contributions
→ T. Fischer*, M. Petit*, and Y. Demiris (2016) IEEE Transactions on Cognitive and Developmental Systems (TCDS 2016), vol. 8, no. 3, pp. 201-213
*: equal contributions
Conferences
→ Buizza C, Fischer T, and Demiris Y (2020) . IEEE Winter Conference on Applications of Computer Vision (WACV 2020), pp: 449-458
→ Fischer T, Chang HJ, and Demiris Y (2018) . European Conference on Computer Vision (ECCV 2018), pp: 339-357
→ Nguyen P, Fischer T, Chang HJ, Pattacini U, Demiris Y, and Metta G (2018) . IEEE/RSJ Conference on Intelligent Robots and Systems (IROS 2018), pp: 6667-6674
→ Choi J, Chang HJ, Fischer T, Yun S, Lee K, Jeong J, Demiris Y, and Choi JY (2018) . IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), pp: 479-488
→ Choi J, Chang HJ, Yun S, Fischer T, Demiris Y, and Choi JY (2017) . IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), pp: 4807-4816
→ Fischer T, Demiris Y (2016) . IEEE International Conference on Robotics and Automation (ICRA 2016), pp: 3309-3316
→ Chang HJ, Fischer T, Petit M, Zambelli M, and Demiris Y (2016) . IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), pp: 4216-4225
Refereed Workshop Papers
→ Cortacero K, Fischer T, and Demiris Y, . ICCV 2019 Workshop on Gaze Estimation and Prediction in the Wild (full proceedings paper).
→ Fischer T, and Demiris Y, . CVPR 2018 Workshop on Vision Meets Cognition.
→ Kristan M et al., . ECCV 2018 Workshop on Visual Object Tracking.
→ Fischer T*, Petit M*, and Demiris Y, . IROS 2016 Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics.
*: equal contributions
→ Zambelli M, Fischer T, Petit M, Chang HJ, Cully A, and Demiris Y, . IROS 2016 Workshop on Bio-Inspired Social Robot Learning in Home Scenarios.
Theses
→ Fischer T (2019) . Ph.D. Thesis, 天美传媒
→ Fischer T (2014) . M.Sc. Thesis, University of Edinburgh
