QUT - Academic profiles - Dr Tobias Fischer

Biography

Research Overview
Dr Tobias Fischer is a Senior Lecturer (US: Associate Professor) and Chief Investigator at QUT's Centre for Robotics. He is also a recipient of the prestigious Discovery Early Career Researcher Award (DECRA) by the Australian Research Council. He is dedicated to advancing the field of robotics by providing robots with perceptual abilities allowing safe, intelligent interactions with humans in real-world environments. His multi-disciplinary research spans robotics, computer vision, and artificial intelligence.

Tobias Fischer's DECRA project
The project "Adaptive and Efficient Robot Positioning Through Model and Task Fusion" is an Australian Research Council Discovery Early Career Researcher Award (DECRA) Fellowship, awarded to Dr Tobias Fischer in 2023. DECRA Fellows are “outstanding early-career researchers with demonstrated capacity for high-quality research and emerging capability for leadership and supervision”. The DECRA supports the Fellow and a team of PhD students for 3 years. In this case, the ARC contributes a $462,000 fellowship, with another $300,000 cash funding from QUT, supporting two PhD student scholarships with substantial top-up components and research support including equipment and travel funds.

Research Experience
In addition to being an ARC DECRA Fellow, Dr Fischer is the Principal Investigator of a grant entitled "Spike-based Visual Place Recognition using Intel's Loihi" funded by the Intel Neuromorphic Computing Lab. He is further co-investigator of an Amazon Research Award on "Complementarity-Aware Multi-Process Fusion for Long Term Localization". Dr Fischer was a co-author and named lead researcher of two applications for the Samsung Global Research Outreach program, which resulted in 200,000 USD commercial funding. In addition, he has been working on major research projects funded by European Union FP7 and H2020 programs, and the Multidisciplinary University Research Initiative (MURI).

His papers have received three best paper awards and two best poster awards:

My first-author paper "Computational Modeling of Embodied Visual Perspective-taking" received the 2023 IEEE Transactions on Cognitive & Developmental Systems Outstanding Paper Award
Scarlett Raine's paper entitled "Point Label Aware Superpixels for Multi-species
Segmentation of Underwater Imagery" won the SAGE HDR Student Publication Prize Competition 2022 (Faculty of Engineering)
Samsung AI Forum 2018 for the paper entitled "Context-aware Deep Feature Compression for High-speed Visual Tracking" (appeared at CVPR2018)
IEEE International Conference on Computer Vision 2019 Workshop on Gaze Estimation and Prediction in the Wild for the paper entitled "RT-BENE: A Dataset and Baselines for Real-Time Blink Estimation in Natural Environments"

Career History
Before joining QUT as a Research Fellow in January 2020, Dr Fischer was a postdoctoral researcher in the Personal Robotics Lab at Imperial College London. He received a PhD from Imperial College with the thesis topic: "Perspective Taking in Robots: A Framework and Computational Model" in January 2019. The thesis has been awarded the Queen Mary UK Best Thesis in Robotics Award 2018 and the Eryl Cadwaladr Davies Prize for the best thesis in the Electrical and Electronic Engineering Department at Imperial College 2018. Since September 2020, Tobias is a professionally registered Chartered Engineer.

Dr Fischer received the M.Sc. degree in Artificial Intelligence from The University of Edinburgh, in August 2014, and a B.Sc. degree in Computer Engineering from Ilmenau University of Technology, Germany, in 2013. He wrote his Bachelor thesis in John Tsotsos' Lab for Active and Attentive Vision, at the York University, Canada.

From February 2012 until August 2014, he was a scholarship holder at the prestigious German National Academic Foundation (Studienstiftung des Deutschen Volkes).

Web Links

Pronouns: he / him

+61 7 3138 9083

tobias.fischer@qut.edu.au

View location details(QUT staff and student access only)

Currently accepting research students

Centre for Robotics

Personal details

Positions

Senior Lecturer
Faculty of Engineering,
School of Electrical Engineering & Robotics

Keywords

Robotics, Computer Vision, Computational Cognition, Place Recognition, Gaze Estimation, Event Cameras, Spiking Neural Networks

Research field

Artificial intelligence, Computer vision and multimedia computation

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020

Qualifications

Doctor of Philosophy (Imperial College, London)
M.Sc. (University of Edinburgh)
B.Sc. (Other)

Professional memberships and associations

Fellow, Higher Education Academy (FHEA)
Chartered Engineer (CEng)
Senior Member, Institute of Electrical and Electronics Engineers (SMIEEE)
Member, Institution of Engineering and Technology (MIET)
Member, British Machine Vision Association (BMVA)
Member, IEEE Robotics and Automation Society

Teaching

Dr Fischer's teaching profile accounts for over 400 hours of teaching in a wide range of undergraduate and postgraduate courses. Dr Fischer is a Fellow of the Higher Education Academy which demonstrates his overall commitment to professionalism in learning and teaching.

Teaching Overview:

Unit Coordinator and Lecturer, EGB339 Introduction to Robotics, 2023 & 2024 (QUT)
Lecturer, EGB439 Advanced Robotics, 2023 (QUT)
Assessor, EGH400-1, Winter 2021 (QUT)
Assessor, EGH408, Spring 2020 (QUT)
Guest Lecturer, EGH444, Spring 2020 (QUT)
Guest Lecturer, Human-Centered Robotics, Autumn 2019 (Imperial College London)
Assessor, Mobile Healthcare and Machine Learning, Spring 2019 (Imperial College London)
Assessor, Human-Centered Robotics, Autumn 2018 (Imperial College London)
Tutor, Object-Oriented Programming, Spring 2014 (University of Edinburgh)
Tutor, Processing Formal and Natural Languages, Autumn 2013 (University of Edinburgh)
Tutor, Software Engineering, Autumn 2013 (University of Edinburgh)
Tutor, Algorithms and Programming, Autumn 2011 (Ilmenau University of Technology)
Tutor, Algorithms and Programming, Autumn 2010 (Ilmenau University of Technology)

Publications

Research outputs by year

Chapter in Book / Report / Conference Proceeding
Contribution to a Journal
Thesis

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5 new publications in 2016

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1 new publication in 2017

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8 new publications in 2018

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2 new publications in 2019

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4 new publications in 2020

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5 new publications in 2021

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6 new publications in 2022

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6 new publications in 2023

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7 new publications in 2024

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3 new publications in 2025201620172018201920202021202220232024202502468102016201720182019202020212022202320242025

Hausler, S., Garg, S., Xu, M., Milford, M. & Fischer, T. (2021). Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition. Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14136–14147. https://eprints.qut.edu.au/213030
Demiris, Y., Fischer, T. & Chang, H. (2018). RT-GENE: Real-time eye gaze estimation in natural environments. Computer Vision - ECCV 2018: 15th European Conference, Proceedings, Part X, 339–357. https://eprints.qut.edu.au/196770
Schubert, S., Neubert, P., Garg, S., Milford, M. & Fischer, T. (2024). Visual Place Recognition: A Tutorial. IEEE Robotics and Automation Magazine, 31(3), 139–153. https://eprints.qut.edu.au/245578
Hussaini, S., Milford, M. & Fischer, T. (2022). Spiking Neural Networks for Visual Place Recognition Via Weighted Neuronal Assignments. IEEE Robotics and Automation Letters, 7(2), 4094–4101. https://eprints.qut.edu.au/228964
Raine, S., Marchant, R., Kusy, B., Maire, F. & Fischer, T. (2022). Point Label Aware Superpixels for Multi-Species Segmentation of Underwater Imagery. IEEE Robotics and Automation Letters, 7(3), 8291–8298. https://eprints.qut.edu.au/233592
Garg, S., Fischer, T. & Milford, M. (2021). Where Is Your Place, Visual Place Recognition? Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), 4416–4425. https://eprints.qut.edu.au/212869
Fischer, T. & Milford, M. (2020). Event-Based Visual Place Recognition With Ensembles of Temporal Windows. IEEE Robotics and Automation Letters, 5(4), 6924–6931. https://eprints.qut.edu.au/205321
Fischer, T. & Demiris, Y. (2020). Computational modeling of embodied visual perspective taking. IEEE Transactions on Cognitive and Developmental Systems, 12(4), 723–732. https://eprints.qut.edu.au/197700
Chang, H., Fischer, T., Petit, M., Zambelli, M. & Demiris, Y. (2018). Learning kinematic structure correspondences using multi-order similarities. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(12), 2920–2934. https://eprints.qut.edu.au/196775
Fischer, T., Vollprecht, W., Traversaro, S., Yen, S., Herrero, C. & Milford, M. (2022). A RoboStack Tutorial: Using the Robot Operating System Alongside the Conda and Jupyter Data Science Ecosystems. IEEE Robotics and Automation Magazine, 29(2), 65–74. https://eprints.qut.edu.au/228392

QUT ePrints

For more publications by Tobias, explore their research in QUT ePrints (our digital repository).

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Filter publications:

2025

Hussaini, S., Milford, M. & Fischer, T. (2025). Applications of Spiking Neural Networks in Visual Place Recognition. IEEE Transactions on Robotics, 41, 518–537. https://eprints.qut.edu.au/254549
Joseph, T., Fischer, T. & Milford, M. (2025). Matched Filtering Based LiDAR Place Recognition for Urban and Natural Environments. IEEE Robotics and Automation Letters, 10(3), 2566–2573. https://eprints.qut.edu.au/255916
Yik, J., Van den Berghe, K., den Blanken, D., Bouhadjar, Y., Fabre, M., Hueber, P., Ke, W., Khoei, M. A., Kleyko, D., Pacik-Nelson, N., Pierro, A., Stratmann, P., Sun, P. S. V., Tang, G., Wang, S., Zhou, B., Ahmed, S. H., Vathakkattil Joseph, G., Leto, B., Micheli, A., Mishra, A. K., Lenz, G., Sun, T., Ahmed, Z., Akl, M., Anderson, B., Andreou, A. G., Bartolozzi, C., Basu, A., Bogdan, P., Bohte, S., Buckley, S., Cauwenberghs, G., Chicca, E., Corradi, F., de Croon, G., Danielescu, A., Daram, A., Davies, M., Demirag, Y., Eshraghian, J., Fischer, T., Forest, J., Fra, V., Furber, S., Furlong, P. M., Gilpin, W., Gilra, A., Gonzalez, H. A., Indiveri, G., Joshi, S., Karia, V., Khacef, L., Knight, J. C., Kriener, L., Kubendran, R., Kudithipudi, D., Liu, S. C., Liu, Y. H., Ma, H., Manohar, R., Margarit-Taulé, J. M., Mayr, C., Michmizos, K., Muir, D. R., Neftci, E., Nowotny, T., Ottati, F., Ozcelikkale, A., Panda, P., Park, J., Payvand, M., Pehle, C., Petrovici, M. A., Posch, C., Renner, A., Sandamirskaya, Y., Schaefer, C. J. S., van Schaik, A., Schemmel, J., Schmidgall, S., Schuman, C., Seo, J. S., Sheik, S., Shrestha, S. B., Sifalakis, M., Sironi, A., Stewart, K., Stewart, M., Stewart, T. C., Timcheck, J., Tömen, N., Urgese, G., Verhelst, M., Vineyard, C. M., Vogginger, B., Yousefzadeh, A., Zohora, F. T., Frenkel, C. & Reddi, V. J. (2025). The neurobench framework for benchmarking neuromorphic computing algorithms and systems. Nature Communications, Article 1545, 16(1). https://eprints.qut.edu.au/256166

2024

Schubert, S., Neubert, P., Garg, S., Milford, M. & Fischer, T. (2024). Visual Place Recognition: A Tutorial. IEEE Robotics and Automation Magazine, 31(3), 139–153. https://eprints.qut.edu.au/245578
Nguyen, S. T., Fontan, A., Milford, M. & Fischer, T. (2024). FocusTune: Tuning Visual Localization through Focus-Guided Sampling. Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 3594–3603. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/248330
Raine, S., Kusy, B., Marchant, R., Maire, F. & Fischer, T. (2024). Image Labels Are All You Need for Coarse Seagrass Segmentation. Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 5931–5940. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/248331
Hines, A. D., Stratton, P. G., Milford, M. & Fischer, T. (2024). VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition. Proceedings of the 2024 IEEE International Conference on Robotics and Automation (ICRA), 10200–10207. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/251879
Nourizadeh, P., Milford, M. & Fischer, T. (2024). Teach and Repeat Navigation: A Robust Control Approach. Proceedings of the 2024 IEEE International Conference on Robotics and Automation (ICRA), 2909–2916. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/251880
Raine, S., Marchant, R., Kusy, B., Maire, F., Sunderhauf, N. & Fischer, T. (2024). Human-in-the-Loop Segmentation of Multi-species Coral Imagery. Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2723–2732. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/253074
Nair, G. B., Milford, M. & Fischer, T. (2024). Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras. Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3356–3363. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/255410

2023

Wilson, S., Fischer, T., Sunderhauf, N. & Dayoub, F. (2023). Hyperdimensional Feature Fusion for Out-of-Distribution Detection. Proceedings of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2643–2653. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/238596
Hussaini, S., Milford, M. & Fischer, T. (2023). Ensembles of Compact, Region-specific and Regularized Spiking Neural Networks for Scalable Place Recognition. Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA), 4200–4207. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/243068
Malone, C., Hausler, S., Fischer, T. & Milford, M. (2023). Boosting Performance of a Baseline Visual Place Recognition Technique by Predicting the Maximally Complementary Technique. Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA), 1919–1925. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/243070
Wilson, S., Fischer, T., Dayoub, F., Miller, D. & Sünderhauf, N. (2023). SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 23508–23519. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/243800
Joseph, T., Fischer, T. & Milford, M. (2023). Trajectory Tracking via Multiscale Continuous Attractor Networks. Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 368–375. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/246063

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/tobias.fischer

Awards

Type: Academic Honours, Prestigious Awards or Prizes
Reference year: 2023
Details: My first author paper "Computational Modeling of Embodied Visual Perspective Taking" has received the 2023 IEEE Transactions on Cognitive & Developmental Systems Outstanding Paper Award.

Type: Academic Honours, Prestigious Awards or Prizes
Reference year: 2021
Details: I am the senior author of the winning contribution (Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition; CVPR2021) at the ECCV 2020 Workshop on Long-Term Visual Localization under Changing Conditions.

Type: Academic Honours, Prestigious Awards or Prizes
Reference year: 2019
Details: Our Cortacero, Fischer and Demiris 2019 paper (RT-BENE: a dataset and baselines for real-time blink estimation in natural environments) won the best poster award at the ICCV Gaze Estimation and Prediction in the Wild workshop.

Type: Fellowships
Reference year: 2019
Details: I am a Fellow of the Higher Education Academy

Type: Academic Honours, Prestigious Awards or Prizes
Reference year: 2018
Details: My thesis has been recognised with the Eryl Cadwaladr Davies prize for the best thesis 2017-2018 in the Electrical and Electronic Engineering Department at Imperial College London.

Type: Academic Honours, Prestigious Awards or Prizes
Reference year: 2018
Details: I have been awarded the renowned Queen Mary UK Best PhD in Robotics Award 2018. The competition is open to all PhD students in the field of robotics within the UK.

Type: Fellowships
Reference year: 2012
Details: I have been awarded a scholarship by the German National Merit Foundation (Studienstiftung des Deutschen Volkes), Germany's largest, oldest and most prestigious scholarship organisation. The scholarship included tuition fees, travel grants and a living allowance. The foundation supports less than 0.5% of German students.

Selected research projects

Title: Adaptive and Efficient Robot Positioning Through Model and Task Fusion
Primary fund type: CAT 1 - Australian Competitive Grant
Project ID: DE240100149
Start year: 2024
Keywords

Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.

Supervision

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Current supervisions

Fast and Robust Event-Driven Visual Place Recognition
PhD, Principal Supervisor
Other supervisors: Professor Michael Milford
Data Pre-Processing for Visual Localization Tasks
PhD, Principal Supervisor
Other supervisors: Professor Michael Milford, Dr Alejandro Fontan Villacampa
Bio-inspired SLAM using Continuous Attractor Networks
PhD, Associate Supervisor
Other supervisors: Professor Michael Milford
Learning Local and Global Place Representations for Visual Place Recognition
PhD, Associate Supervisor
Other supervisors: Professor Michael Milford
Autonomous 3D Neural Scene Reconstruction
PhD, Associate Supervisor
Other supervisors: Professor Niko Suenderhauf, Professor Michael Milford
PhD, Associate Supervisor
Other supervisors: Professor Michael Milford, Dr Alejandro Fontan Villacampa

Completed supervisions (Doctorate)

Completed supervisions (Masters by Research)

Adaptive Robust Visual Place Recognition via Image Wise Automatic Method Selection (2024)

The supervisions listed above are only a selection.

Dr Tobias Fischer

Biography

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Teaching

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Research outputs by year

Selected publications

QUT ePrints

All publicationsLatest publications

2025

2024

2023

Awards

Selected research projects

Supervision

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Current supervisions

Completed supervisions (Doctorate)

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