Wissenschaftsschwerpunkt der

© Martin Mundt
© Martin Mundt
Prof. Martin Mundt

Weitere Informationen:

Auszeichungen: Core Organizer at Queer in AI

Mitgliedschaften: Board Member of Directors at non-profit ContinualAI

Ökosystem

Publikationen
2022 // other

FEATHERS: Federated Architecture and Hyperparameter Search

arXiv

Seng, J.; Prasad, P.; Dhami, D.S.; Mundt, M.; Kersting, K.
DOI: 10.48550/arXiv.2206.12342

2022 // conference-paper

When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pliushch, I.; Mundt, M.; Lupp, N.; Ramesh, V.
DOI: 10.1007/978-3-031-20074-8_23

2021 // conference-paper

Avalanche: An end-to-end library for continual learning

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Lomonaco, V.; Pellegrini, L.; Cossu, A.; Carta, A.; Graffieti, G.; Hayes, T.L.; De Lange, M.; Masana, M.; Pomponi, J.; Van De Ven, G.M.; Mundt, M.; She, Q.; Cooper, K.; Forest, J.; Belouadah, E.; Calderara, S.; Parisi, G.I.; Cuzzolin, F.; Tolias, A.S.; Scardapane, S.; Antiga, L.; Ahmad, S.; Popescu, A.; Kanan, C.; Van De Weijer, J.; Tuytelaars, T.; Bacciu, D.; Maltoni, D.
DOI: 10.1109/CVPRW53098.2021.00399

2021 // conference-paper

Neural architecture search of deep priors: Towards continual learning without catastrophic interference

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Mundt, M.; Pliushch, I.; Ramesh, V.
DOI: 10.1109/CVPRW53098.2021.00391

2021 // conference-paper

A procedural world generation framework for systematic evaluation of continual learning

Neural Information Processing Systems, Datasets and Benchmarks Track

DOI: 10.48550/arxiv.2106.02585

2019 // conference-paper

Open set recognition through deep neural network uncertainty: Does out-of-distribution detection require generative classifiers?

Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019

Mundt, M.; Pliushch, I.; Majumder, S.; Ramesh, V.
DOI: 10.1109/ICCVW.2019.00098

2019 // conference-paper

Meta-learning convolutional neural architectures for multi-target concrete defect classification with the concrete defect bridge image dataset

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Mundt, M.; Majumder, S.; Murali, S.; Panetsos, P.; Ramesh, V.
DOI: 10.1109/CVPR.2019.01145

2018 // conference-paper

Large-scale stochastic scene generation and semantic annotation for deep convolutional neural network training in the robocup SPL

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Hess, T.; Mundt, M.; Weis, T.; Ramesh, V.
DOI: 10.1007/978-3-030-00308-1_3

2018 // other

Rethinking layer-wise feature amounts in convolutional neural network architectures

arXiv

Mundt, M.; Weis, T.; Majumder, S.; Ramesh, V.
DOI: 10.48550/arxiv.1812.05836

2017 // other

Building effective deep neural network architectures one feature at a time

arXiv

Mundt, M.; Weis, T.; Konda, K.; Ramesh, V.
DOI: 10.48550/arxiv.1705.06778

2017 // conference-paper

Anomaly detection for automotive visual signal transition estimation

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Weis, T.; Mundt, M.; Harding, P.; Ramesh, V.
DOI: 10.1109/ITSC.2017.8317605

2016 // conference-paper

Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics

ESANN 2016 - 24th European Symposium on Artificial Neural Networks

Mundt, M.; Blaes, S.; Burwick, T.
DOI:

2014 // journal-article

Exploration of terahertz imaging with silicon MOSFETs

Journal of Infrared, Millimeter, and Terahertz Waves

Lisauskas, A.; Bauer, M.; Boppel, S.; Mundt, M.; Khamaisi, B.; Socher, E.; Venckevičius, R.; Minkevičius, L.; Kašalynas, I.; Seliuta, D.; Valušis, G.; Krozer, V.; Roskos, H.G.
DOI: 10.1007/s10762-013-0047-7

2014 // journal-article

Antenna-coupled field-effect transistors for multi-spectral terahertz imaging up to 4.25 THz

Optics Express

Bauer, M.; Venckevičius, R.; Kašalynas, I.; Boppel, S.; Mundt, M.; Minkevičius, L.; Lisauskas, A.; Valušis, G.; Krozer, V.; Roskos, H.G.
DOI: 10.1364/OE.22.01914119250

2013 // conference-paper

Scalable, monolythically-integrated detectors for THz imaging

UCMMT 2013 - 2013 6th UK, Europe, China Millimeter Waves and THz Technology Workshop

Boppel, S.; Lisauskas, A.; Bauer, M.; Mundt, M.; Krozer, V.; Roskos, H.G.; Venckevicius, R.; Minkevicius, L.; Kašalynas, I.; Seliuta, D.; Valušis, G.; Shevchenko, S.; Würfl, J.; Heinrich, W.; Tränkle, G.
DOI: 10.1109/UCMMT.2013.6641509

2013 // conference-paper

Bow-tie-antenna-coupled terahertz detectors using AlGaN/GaN field-effect transistors with 0.25 micrometer gate length

European Microwave Week 2013, EuMW 2013 - Conference Proceedings; EuMIC 2013: 8th European Microwave Integrated Circuits Conference

Bauer, M.; Lisauskas, A.; Boppel, S.; Mundt, M.; Krozer, V.; Roskos, H.G.; Chevtchenko, S.; Würfl, J.; Heinrich, W.; Tränkle, G.
DOI:

2013 // conference-paper

Foundry-processed detector arrays for terahertz spectroscopy and real-time imaging applications

Optics InfoBase Conference Papers

Lisauskas, A.; Boppel, S.; Bauer; Mundt, M.; Krozer, V.; Roskos, H.G.; Venckevičius, R.; Minkevičius, L.; Kašalynas, I.; Seliuta, D.; Valušis, G.
DOI:

2013 // conference-paper

Optimized tera-FET detector performance based on an analytical device model verified up to 9 THz

International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz

Boppel, S.; Lisauskas, A.; Bauer, M.; Mundt, M.; Venckevičius, R.; Minkevičius, L.; Seliuta, D.; Kašalynas, I.; Khamaisi, B.; Socher, E.; Valušis, G.; Krozer, V.; Roskos, H.G.
DOI: 10.1109/IRMMW-THz.2013.6665574

2012 // conference-paper

All-electronic terahertz imaging: Planar emitters and detectors at 220 GHz in CMOS technology

International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz

Lisauskas, A.; Khamaisi, B.; Boppel, S.; Mundt, M.; Krozer, V.; Socher, E.; Roskos, H.G.
DOI: 10.1109/IRMMW-THz.2012.6379497

2012 // journal-article

CMOS integrated antenna-coupled field-effect transistors for the detection of radiation from 0.2 to 4.3 THz

IEEE Transactions on Microwave Theory and Techniques

Boppel, S.; Lisauskas, A.; Mundt, M.; Seliuta, D.; Minkeviius, L.; Kašalynas, I.; Valušis, G.; Mittendorff, M.; Winnerl, S.; Krozer, V.; Roskos, H.G.
DOI: 10.1109/TMTT.2012.2221732

2012 // conference-paper

Detection of 639-GHz radiation by sub-harmonic mixing in CMOS field-effect transistors

International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz

Boppel, S.; Lisauskas, A.; Mundt, M.; Krozer, V.; Roskos, H.G.
DOI: 10.1109/IRMMW-THz.2012.6380365

// dissertation-thesis

Designing deep neural networks for continual learning in an open world

Martin Mundt