Terahertz-Light Field Camera Prototyp
![[Translate to English:] Terahertz Lichtfeld Kamera Prototyp](/fileadmin/_processed_/d/5/csm_THz-LFI-Prototype_99b5c8d307.jpg "[Translate to English:] Terahertz Lichtfeld Kamera Prototyp")
![[Translate to English:] Terahertz Lichtfeld Kamera Prototyp Seitenansicht](/fileadmin/_processed_/4/f/csm_THz-LFI-sideview_c1f112f395.jpg "[Translate to English:] Terahertz Lichtfeld Kamera Prototyp Seitenansicht")
Light-field has traditionally been a domain of visible light computational imaging. Our chair is leading the development of light-field methodologies for the THz spectrum, bringing new foundational understanding and hardware capabilities for bridging the terahertz gap.
Currently, we are building the first ever THz light-field camera prototype - which consists of a 3x3 super-array of lens coupled 1k-pixel THz CMOS cameras - in a single package. The CMOS camera chip is presented in the International Solid-State Circuits Conference (ISSCC) 2021. The figure shows the prototype of the light field array. The prototype serves as the hardware platform for the development of light-field based real-time THz 3-D imaging techniques.
- 2019
2772.
Langer, Tristan; Meisen, Tobias
Towards Utilizing Domain Expertise for Exploratory Data Analysis
Proceedings of the 12th International Symposium on Visual Information Communication and InteractionfromVINCI’2019
Publisher: Association for Computing Machinery, New York, NY, USA
20192771.
Langer, Tristan; Meisen, Tobias
Towards Utilizing Domain Expertise for Exploratory Data Analysis
Proceedings of the 12th International Symposium on Visual Information Communication and InteractionfromVINCI'2019
Publisher: Association for Computing Machinery, New York, NY, USA
20192770.
Langer, Tristan; Meisen, Tobias
Towards Utilizing Domain Expertise for Exploratory Data Analysis
Proceedings of the 12th International Symposium on Visual Information Communication and InteractionfromVINCI'2019
Publisher: Association for Computing Machinery, New York, NY, USA
20192769.
Langer, Tristan; Meisen, Tobias
Towards Utilizing Domain Expertise for Exploratory Data Analysis
Proceedings of the 12th International Symposium on Visual Information Communication and InteractionfromVINCI’2019
Publisher: Association for Computing Machinery, New York, NY, USA
20192768.
Ionita, Andrei; Pomp, André; Cochez, Michael; Meisen, Tobias; Decker, Stefan
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces
International Journal on Artificial Intelligence Tools, 28 (06) :1960003
2019
ISSN: 0218-21302767.
Baer, Schirin; Bakakeu, Jupiter; Meyes, Richard; Meisen, Tobias
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems
2019 Second IEEE International Conference on Artificial Intelligence for Industries, Page 22—25
Publisher: IEEE-Computer-Society, Los Alamitos, CA
2019ISBN: 978-1-7281-4087-2
2766.
Pomp, André; Lipp, Johannes; Meisen, Tobias
You are Missing a Concept! Enhancing Ontology-Based Data Access with Evolving Ontologies
2019 IEEE 13th International Conference on Semantic Computing (ICSC), Page 98—105
20192765.
Baer, Schirin; Bakakeu, Jupiter; Meyes, Richard; Meisen, Tobias
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems
2019 Second IEEE International Conference on Artificial Intelligence for Industries, Page 22—25
Publisher: IEEE-Computer-Society, Los Alamitos, CA
2019ISBN: 978-1-7281-4087-2
2764.
Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34 :789—797
2019
ISSN: 2351-97892763.
Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI)
20192762.
Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI)
20192761.
Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
20192760.
Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
20192759.
Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
20192758.
Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
20192757.
Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
20192756.
Barta, Max; Farooghi, Dena; Tutsch, Dietmar
A System for User Centered Classification and Ranking of Points of Interest using Data Mining in Geographical Data Sets
10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) -- Advances in Artificial Intelligence, Software and Systems Engineering, Washington D.C., USA, Page 571--579
Publisher: Springer-Verlag
July 20192755.
Barta, Max; Farooghi, Dena; Tutsch, Dietmar
A System for User Centered Classification and Ranking of Points of Interest using Data Mining in Geographical Data Sets
10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) -- Advances in Artificial Intelligence, Software and Systems Engineering, Washington D.C., USA, Page 571--579
Publisher: Springer-Verlag
July 20192754.
Barta, Max; Farooghi, Dena; Tutsch, Dietmar
A System for User Centered Classification and Ranking of Points of Interest using Data Mining in Geographical Data Sets
10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) -- Advances in Artificial Intelligence, Software and Systems Engineering, Washington D.C., USA, Page 571--579
Publisher: Springer-Verlag
July 20192753.
Barta, Max; Farooghi, Dena; Tutsch, Dietmar
A System for User Centered Classification and Ranking of Points of Interest using Data Mining in Geographical Data Sets
10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) -- Advances in Artificial Intelligence, Software and Systems Engineering, Washington D.C., USA, Page 571--579
Publisher: Springer-Verlag
20192752.
Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34 :789—797
2019
ISSN: 2351-97892751.
Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34 :789—797
2019
ISSN: 2351-97892750.
Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34 :789—797
2019
ISSN: 2351-97892749.
Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34 :789—797
2019
ISSN: 2351-97892748.
Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI)
2019
