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Braun,
Marco;
Luszek,
Moritz;
Siegemund,
Jan;
Kollek,
Kevin;
Kummert,
Anton
Quantification of Uncertainties in Deep Learning-based Environment Perception
2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS),
Seite 1--8
IEEE
2021
375.
Kolonko,
Lech;
Musiol,
Bartosz;
Velten,
J;
Kummert,
Anton
A Split-Modular Approach to Wave Digital Filters containing Bipolar Junction Transistors
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS),
Seite 840-843
2021
Schmitz,
Jan-Christoph;
Bauer,
Adrian;
Kummert,
Anton
Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA),
Seite 558--563
IEEE
2021
373.
Kollek,
Kevin;
Aguilar,
Miguel Angel;
Braun,
Marco;
Kummert,
Anton
Improving Neural Network Architecture Compression by Multi-Grain Pruning
2021 IEEE International Conference on Progress in Informatics and Computing (PIC),
Seite 6--13
IEEE
2021
372.
Ghorban,
Farzin;
Hasan,
Nesreen;
Velten,
Jörg;
Kummert,
Anton
Improving FM-GAN through Mixup Manifold Regularization
2021 IEEE International Symposium on Circuits and Systems (ISCAS),
Seite 1-5
2021
Kolonko,
Lech;
Velten,
J;
Kummert,
Anton;
Musiol,
Bartosz
FPGA Implementation of Wave Digital Filters with Multiple exp-based Nonlinearities
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS),
Seite 507-510
2021
Kolonko,
L.;
Velten,
J.;
Kummert,
A.
Automatic Differentiating Wave Digital Filters with Multiple Nonlinearities
2020 28th European Signal Processing Conference (EUSIPCO),
Seite 1-5
2021
ISBN: 978-9-0827-9705-3
369.
Freeman,
Ido;
Zhao,
Kun;
Kummert,
Anton
Polynomial Trajectory Predictions for Improved Learning Performance
2021 IEEE International Conference on Image Processing (ICIP),
Seite 3313-3317
2021
Malerczyk,
Jessica;
Lerch,
Sabine;
Tibken,
Bernd;
Kummert,
Anton
Impact of intelligent agents on the avoidance of spontaneous traffic jams on two-lane motorways
,
MATEC Web of ConferencesBand308,
Seite 05003
EDP Sciences
2020
Sulikowski,
Bartłomiej;
Gałkowski,
Krzysztof;
Rogers,
Eric;
Kummert,
Anton
Robust Iterative Learning Control for ladder circuits with mixed uncertainties
2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV),
Seite 932-937
2020
Kolonko,
L.;
Velten,
J.;
Kummert,
A.
Optimization of Artificial Port Reflectances for Wave Digital Filters with Topology-Related Delay-Free Loops
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS),
Seite 170-173
2020
Goubeaud,
Maxime;
Grunert,
Tim;
Lützenkirchen,
Jan;
Joußen,
Philipp;
Ghorban,
Farzin;
Kummert,
Anton
Introducing a New Benchmarked Dataset for Mechanical Stop Detection of Stepper Motors
2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS),
Seite 1-4
2020
Hahn,
Lukas;
Hasecke,
Frederik;
Kummert,
Anton
Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC),
Seite 1-6
2020
Schmitz,
Jan-Christoph;
Tilgner,
Stephan;
Kalischewski,
Kathrin;
Wagner,
Daniel;
Kummert,
Anton
Hands on Wheel Classification Based on Depth Images and Neural Networks
,
MATEC Web of ConferencesBand308,
Seite 06003
EDP Sciences
2020
Cao,
Jiuwen;
Zhu,
Jiahua;
Hu,
Wenbin;
Kummert,
Anton
Epileptic Signal Classification With Deep EEG Features by Stacked CNNs
IEEE Transactions on Cognitive and Developmental Systems,
12
(4)
:709-722
2020
Dehghani,
Farzaneh;
Ghorban,
Farzin;
Velten,
Joerg;
Kummert,
Anton
A Search for Visual Features in Adversarial Networks
AmE 2020 - Automotive meets Electronics; 11th GMM-Symposium,
Seite 1-6
2020
360.
Kolonko,
L.;
Velten,
J.;
Kummert,
A.
A Playful Energy Harvesting Based Teaching Platform for Physical Computing
2020 IEEE International Symposium on Circuits and Systems (ISCAS),
Seite 1-5
2020
Kolonko,
L.;
Velten,
J.;
Kummert,
A.
An Improved Multi-Dimensional Approach to Wave Digital Filters with Topology-Related Delay-Free Loops using Automatic Differentiation
2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS),
Seite 1163-1166
August 2019
Kalischewski,
K.;
Wagner,
D.;
Velten,
J.;
Kummert,
A.
Spoken Letter Recognition using Deep Convolutional Neural Networks on Sparse and Dissimilar Data
2019 IEEE International Symposium on Circuits and Systems (ISCAS),
Seite 1-5
2019
Schwerdtfeger,
T.;
Kummert,
A.
Nonlinear Circuit Simulation by Means of Alfred Fettweis' Wave Digital Principles
IEEE Circuits and Systems Magazine,
19
(1)
:55-C3
2019
ISSN: 1531-636X
Tilgner,
S.;
Wagner,
D.;
Kalischewski,
K.;
Velten,
J.;
Kummert,
A.
Multi-View Fusion Neural Network with Application in the Manufacturing Industry
2019 IEEE International Symposium on Circuits and Systems (ISCAS),
Seite 1-5
2019
Cao,
J.;
Zhu,
J.;
Hu,
W.;
Kummert,
A.
Epileptic Signal Classification with Deep EEG Features by Stacked CNNs
IEEE Transactions on Cognitive and Developmental Systems
:1
2019
ISSN: 2379-8920
Kolonko,
L.;
Velten,
J.;
Kummert,
A.
Live Demonstration: A Raspberry Pi Based Video Pipeline for 2-D Wave Digital Filters on Low-Cost FPGA Hardware
2019 IEEE International Symposium on Circuits and Systems (ISCAS),
Seite 1-1
2019
Buß,
Matthias;
Benen,
Stephan;
Kraus,
D;
Kummert,
Anton
False Alarm Reduction for Active Sonars using Deep Learning Architectures
2019 UDT, Stockholm
Stockholm
2019