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2020 – today
- 2024
[j9]Thomas Stadelmayer
, Youcef Hassab, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz:
Lightweight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures. IEEE Internet Things J. 11(9): 15285-15298 (2024)- [c27]Niall Lyons, Avik Santra, Vikram Kumar Ramanna, Kiran Uln, Rakesh Taori, Ashutosh Pandey:
WIFIACT: Enhancing Human Sensing Through Environment Robust Preprocessing And Bayesian Self-Supervised Learning. ICASSP 2024: 13391-13395 - [c26]Muhammad Arsalan, Avik Santra, Vadim Issakov:
Low Power Gesture Sensing System Based on Target Range Using Spiking Neural Networks for Portable Devices. RWS 2024: 153-155 - 2023
- [j8]Muhammad Arsalan, Avik Santra, Vadim Issakov:
Power-efficient gesture sensing for edge devices: mimicking fourier transforms with spiking neural networks. Appl. Intell. 53(12): 15147-15162 (2023) - [c25]Arnab Neelim Mazumder, Niall Lyons, Ashutosh Pandey, Avik Santra, Tinoosh Mohsenin:
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. EUSIPCO 2023: 1-5 - [c24]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille:
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP 2023: 1-5 - [c23]Thomas Stadelmayer, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz:
Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning. RWS 2023: 44-47 - 2022
- [b1]Avik Santra:
Cognitive Architectures, Processing and Learning Algorithms for Intelligent Radar Solutions (Kognitive Architekturen, Verarbeitungsund Lernalgorithmen für Intelligente Radar-Lösungen). University of Erlangen-Nuremberg, Germany, 2022 - [c22]Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra:
Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar. ICASSP 2022: 3883-3887 - [c21]Muhammad Arsalan, Tao Zheng, Avik Santra, Vadim Issakov:
Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural Networks. ICMLA 2022: 931-935 - [c20]Anand Dubey, Niall Lyons, Avik Santra, Ashutosh Pandey:
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values. ICMLA 2022: 1281-1288 - [c19]Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille:
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. ICMLA 2022: 1476-1483 - [c18]Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra, Robert Wille:
Utilizing Explainable AI for improving the Performance of Neural Networks. ICMLA 2022: 1775-1782 - [c17]Aidan Smyth, Niall Lyons, Ted Wada, Robert Zopf, Ashutosh Pandey, Avik Santra:
Robust Representations for Keyword Spotting Systems. ICPR 2022: 3210-3215 - [c16]Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra:
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition. SAM 2022: 350-354 - [i9]Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra:
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition. CoRR abs/2203.17066 (2022) - [i8]Michael Stephan, Thomas Stadelmayer, Avik Santra, Georg Fischer, Robert Weigel, Fabian Lurz:
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation. CoRR abs/2207.06379 (2022) - [i7]Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Robert Wille, Avik Santra:
Utilizing Explainable AI for improving the Performance of Neural Networks. CoRR abs/2210.04686 (2022) - [i6]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille:
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR abs/2210.13545 (2022) - [i5]Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille:
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. CoRR abs/2210.14532 (2022) - [i4]Arnab Neelim Mazumder, Niall Lyons, Anand Dubey, Ashutosh Pandey, Avik Santra:
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning. CoRR abs/2211.01413 (2022) - [i3]Anand Dubey, Niall Lyons, Avik Santra, Ashutosh Pandey:
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values. CoRR abs/2211.03451 (2022) - 2021
- [j7]Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lübke, Robert Weigel, Fabian Lurz:
A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars. IEEE Access 9: 68758-68777 (2021) - [j6]Mateusz Chmurski, Mariusz Zubert, Kay Bierzynski, Avik Santra:
Analysis of Edge-Optimized Deep Learning Classifiers for Radar-Based Gesture Recognition. IEEE Access 9: 74406-74421 (2021) - [j5]Mateusz Chmurski, Gianfranco Mauro, Avik Santra, Mariusz Zubert, Gökberk Dagasan:
Highly-Optimized Radar-Based Gesture Recognition System with Depthwise Expansion Module. Sensors 21(21): 7298 (2021) - [c15]Muhammad Arsalan, Avik Santra, Mateusz Chmurski, Moamen El-Masry, Gianfranco Mauro, Vadim Issakov:
Radar-Based Gesture Recognition System using Spiking Neural Network. ETFA 2021: 1-5 - [c14]Thomas Stadelmayer, Avik Santra, Markus Stadelmayer, Robert Weigel, Fabian Lurz:
Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sine Filter on Radar Time Domain Data. EUSIPCO 2021: 1745-1749 - [c13]Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lübke, Robert Weigel, Fabian Lurz:
Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars. ICASSP 2021: 4060-4064 - [c12]Niall Lyons, Avik Santra, Ashutosh Pandey:
Improved Deep Representation Learning for Human Activity Recognition using IMU Sensors. ICMLA 2021: 326-332 - [c11]Michael Stephan, Souvik Hazra, Avik Santra, Robert Weigel, Georg Fischer:
People Counting Solution Using an FMCW Radar with Knowledge Distillation From Camera Data. IEEE SENSORS 2021: 1-4 - [c10]Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lübke, Robert Weigel, Fabian Lurz:
Bayesradar : Bayesian Metric-Kalman Filter Learning for Improved and Reliable Radar Target Classification. MLSP 2021: 1-6 - [i2]Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra:
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar. CoRR abs/2110.05876 (2021) - 2020
- [j4]Avik Santra, Alexander Rudolf Ganis, Jan Mietzner, Volker Ziegler:
Ambiguity function and imaging performance of coded FMCW waveforms with fast 4D receiver processing in MIMO radar. Digit. Signal Process. 97 (2020) - [c9]Muhammad Arsalan, Avik Santra, Vadim Issakov:
Radar Trajectory-based Air-Writing Recognition using Temporal Convolutional Network. ICMLA 2020: 1454-1459 - [c8]Muhammad Arsalan, Avik Santra, Kay Bierzynski, Vadim Issakov:
Air-Writing with Sparse Network of Radars using Spatio-Temporal Learning. ICPR 2020: 8877-8884 - [c7]Michael Stephan, Thomas Stadelmayer, Avik Santra, Georg Fischer, Robert Weigel, Fabian Lurz:
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation. ICPR 2020: 9529-9536 - [c6]Thomas Stadelmayer, Markus Stadelmayer, Avik Santra, Robert Weigel, Fabian Lurz:
Human Activity Classification Using mm-Wave FMCW Radar by Improved Representation Learning. mmNets 2020: 1:1-1:6 - [c5]Jan Mietzner, Avik Santra:
Space-Time Waveform Coding for Joint Radar and Wireless Communications (RadCom) Applications. WCNC 2020: 1-8 - [i1]Manu Siddhartha, Avik Santra:
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19. CoRR abs/2006.13873 (2020)
2010 – 2019
- 2019
- [j3]Souvik Hazra, Avik Santra:
Short-Range Radar-Based Gesture Recognition System Using 3D CNN With Triplet Loss. IEEE Access 7: 125623-125633 (2019) - [c4]Michael Stephan, Avik Santra:
Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home Applications. ICMLA 2019: 175-182 - [c3]Souvik Hazra, Avik Santra:
Radar Gesture Recognition System in Presence of Interference using Self-Attention Neural Network. ICMLA 2019: 1409-1414 - [c2]Yogesh Shankar, Souvik Hazra, Avik Santra:
Radar-Based Non-intrusive Fall Motion Recognition using Deformable Convolutional Neural Network. ICMLA 2019: 1717-1724 - 2017
- [j2]Avik Santra, K. V. S. Hari:
A Novel Subspace Based Method for Compensation of Multiple CFOs in Uplink MIMO OFDM Systems. IEEE Commun. Lett. 21(9): 1993-1996 (2017) - 2016
- [c1]Avik Santra, Raja Santhanakumar, Kaushal Jadia, Rajan Srinivasan:
SINR performance of matched illumination signals with dynamic target models. ICASSP 2016: 4890-4894 - 2015
- [j1]Avik Santra, Rajan Srinivasan, Kaushal Jadia, Guillaume Alléon:
Ambiguity functions, processing gains, and Cramer-Rao bounds for matched illumination radar signals. IEEE Trans. Aerosp. Electron. Syst. 51(3): 2225-2235 (2015)
Coauthor Index
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last updated on 2024-08-08 20:10 CEST by the dblp team
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