Simon Claus Stock, M.Sc.
- Member of Scientific Staff
- group: Prof. Stork
- room: 228
CS 30.10 - phone: +49 721 608-48248
- simon stockBgx3∂kit edu
- Engesserstr. 5
76131 Karlsruhe
M. Sc. Simon Stock
Lebenslauf
- Geboren Mai 1991 in Aalen, Deutschland
- Bachelorstudium der Elektro- und Informationstechnik am KIT
- B.Sc. 2014 am Institut für Anthropomatik und Robotik (H2T)
- Bachelorarbeit "Environment Perception Using 3D Active Sensing for a Wearable Robot Helmet"
- Masterstudium der Elektro- und Informationstechnik am KIT
- Vertiefungsrichtung "Systems Engineering"
- M.Sc. 2017 bei der Carl Zeiss Meditec Inc. in Dublin Kalifornien
- Masterarbeit "Fully Automated Acquisition of 3D Optical-Coherence-Tomography Images in the Human Eye"
- Mitarbeiter am ITIV seit November 2017
Lehre
Betreuung des Labors für angewandte Machine Learning Algorithmen (LAMA)
Forschung
- Maschinelles Lernen
- Brain Computer Interfaces (BCI) und Electroencephalography (EEG)
- Computer Vision
- Virtual und Augmented Reality
- Ophthalmologie
Kollaborationen
- Massachusetts Institute of Technology; Cambridge, MA, USA
- David J Apple Laboratory – Heidelberg University Hospital; Heidelberg, Germany
- Carl Zeiss Meditec, Inc.; Dublin, CA, USA
- Apic.ai; Karlsruhe, Germany
Betreute abgeschlossene studentische Arbeiten
- MA: "Simulation Progressiver Augenkrankheiten mittels virtueller Realität"
- MA: "Objekterkennung mittels Transfer Learning durch Convolutional Neural Networks (CNN): Eine Fallstudie zur automatisierten Mahlzeitenerkennung" (Collaborative MA by two Master-students)
- BA: "Design and Prototyping of a Virtual Reality Head Mounted Display with Adaptable Vergence and Accommodation"
- BA: "Instance Segmentation of Objects Close to the User for Improved Perception in Augmented Reality Using Transfer Learning"
- BA: "Gaze Estimation using Convolutional Autoencoders"
- MA: "DeepBees: Using Multi-Task Learning for Joint Detection, Pose Estimation and Classification of Pollen Bearing Bees"
- BA: "Prototyping and Implementation of a Smart Foot Bracelet for Navigation and Guidance Using Haptic Feedback"
- BA: "Integration of pupil tracking in an ophthalmologic virtual reality application for improved immersion and pupil movement analysis"
- BA: "Signal processing in Ophthalmology: How the Retina defines what we are seeing"
- MA: "Highly Parallelized Rendering of the Retinal Image through a Computer Simulated Human Eye"
- BA: "Rapid Prototyping and Evaluation of a Connected Distributed Load Measurement System"
- MA: "Real Time Monitoring System for Laser Marking of Polymeric Materials"
- BA: "Implementierung einer intuitiven Multimediaoberfläche für ein ophthalmologisches VR-Gerät"
- MA: "Examining the Human Neuro-visual System using Electroencephalography: A Deep Learning Approach towards Objective Perimetry"
- MA: "An Electroencephalography based System for Objective Refraction and Visual Acuity Assessment using Convolutional Neural Networks"
- MA: "Ein Ansatz für Maschinelles Lernen in der Produktion: Ein Software-Framework zur Ausführung von künstlichen Neuronalen Netzen in C++"
- MA: "Adaptive Gesture Control for Automotive Applications with Few-Shot-Learning"
Publikationen
2020
Conference Papers
-
Bumblebee Re-Identification Dataset.
Tausch, F.; Stock, S.; Fricke, J.; Klein, O.
2020. IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020, Snowmass Village, CO, 1 March 2020 through 5 March 2020. Proceedings, 35–37, IEEE, Piscataway (NJ). doi:10.1109/WACVW50321.2020.9096909 -
Deepbees - Building and scaling convolutional neuronal nets for fast and large-scale visual monitoring of bee hives.
Marstaller, J.; Tausch, F.; Stock, S.
2020. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 271–278, IEEE, Piscataway (NJ). doi:10.1109/ICCVW.2019.00036 -
A system approach for closed-loop assessment of neuro-visual function based on convolutional neural network analysis of EEG signals.
Stock, S. C.; Armengol-Urpi, A.; Kovács, B.; Maier, H.; Gerdes, M.; Stork, W.; Sarma, S. E.
2020. Online SPIE Photonics Europe, 6-10 April 2020. Neurophotonics. Vol.: 11360, 1136008/ 19 S., SPIE, Bellingham (WA). doi:10.1117/12.2554417 -
Highly parallelized rendering of the retinal image through a computer-simulated human eye for the design of virtual reality head-mounted displays.
Vu, C. T.; Stock, S. C.; Fan, L. T.; Stork, W.
2020. Online SPIE Photonics Europe, 6 - 10 April 2020 - Optics, Photonics and Digital Technologies for Imaging Applications. Vol.: VI. Ed.: P. Schelkens, 1135316 / 21 S., SPIE, Bellingham (WA). doi:10.1117/12.2555872 -
FEEDI - A Smart Wearable Foot-Band for Navigation and Guidance Using Haptic Feedback.
Stock, S.; Bertemes, A.; Stang, M.; Böhme, M.; Grimm, D.; Stork, W.
2020. Human Interaction, Emerging Technologies and Future Applications II : Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2020), April 23-25, 2020, Lausanne, Switzerland. Ed.: T. Ahram, 349–355, Springer, Cham. doi:10.1007/978-3-030-44267-5_52
2019
Journal Articles
-
Suitability of Virtual Reality for Vision Simulation – A Case Study using Glaucomatous Visual Fields.
Stock, S. C.; Erler, C.; Stork, W.; Labuz, G.; Son, H. S.; Khoramnia, R.; Auffarth, G. U.
2019. Investigative ophthalmology & visual science, 60 (9), Abstract 2441 -
Automatic pupil detection using off-axis iris images for alignment guidance in fundus cameras.
Dave, P.; Wei, A.; Nolan, D.; Stock, S.; Guo, J.; Covita, A.; Chen, M.; Straub, J.; Durbin, M.; Manivannan, N.
2019. Investigative ophthalmology & visual science, 60 (11), PB040
Conference Papers
-
DeepBees-Building and Scaling Convolutional Neuronal Nets For Fast and Large-Scale Visual Monitoring of Bee Hives [in press].
Marstaller, J.; Tausch, F.; Stock, S.
2019. ICCV - International Conference on Computer Vision 2019, Oct. 27 - Nov. 2, 2019, Seoul, Korea
Presentations
-
The QUA³CK Machine Learning Development Process and the Laboratory for Applied Machine Learning Approaches (LAMA).
Becker, J.; Grimm, D.; Hotfilter, T.; Meier, C.; Molinar, G.; Stang, M.; Stock, S.; Stork, W.
2019, October 22. Symposium Artificial Intelligence for Science, Industry and Society (AISIS 2019), Mexico City, Mexico, October 20–December 25, 2019
Posters
-
Suitability of Virtual Reality for Vision Simulation – A Case Study using Glaucomatous Visual Fields.
Stock, S. C.; Erler, C.; Stork, W.; Labuz, G.; Son, H. S.; Khoramnia, R.; Auffarth, G. U.
2019. ARVO Annual Meeting (2019), Vancouver, Canada, April 26–27, 2019
2018
Conference Papers
-
Realistic Simulation of Progressive Vision Diseases in Virtual Reality.
Stock, S.; Erler, C.; Stork, W.
2018. Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 117:1–117:2, ACM, New York. doi:10.1145/3281505.3283395
2017
Journal Articles
-
Automatic Detection of the Optic Nerve Head in Line Scanning Ophthalmoscope Images in CIRRUS™ HD-OCT.
Fard, A.; Bagherinia, H.; Stock, S.; Straub, J.
2017. Investigative ophthalmology & visual science, 58 (8), Abstract 4010 -
The Benefits of Real Time Pupil Tracking on the Quality of the B-Scan.
Stock, S.; Kubach, S.; Sha, P.; Straub, J.; Stork, W.
2017. Investigative ophthalmology & visual science, 58 (8), Abstrract 660
Conference Papers
-
3D Visualization of Retinal Vasculature Using Virtual Reality and 3D Printing.
Straub, J.; Jaward, S.; Stock, S.; Leahy, C.; Burns, C.; Sousa, F.
2017. ARVO imaging in the Eye Conference, 2017 Baltimore, May 06, 2017
Posters
-
The Benefits of Real Time Pupil Tracking on the Quality of the B-Scan.
Stock, S.; Kubach, S.; Sha, P.; Straub, J.; Stork, W.
2017. ARVO 2017 in Baltimore, USA -
Automatic Detection of the Optic Nerve Head in Line Scanning Ophthalmoscope Images in CIRRUS™ HD-OCT.
Fard, A.; Bagherinia, H.; Stock, S.; Straub, J.
2017. ARVO 2017 in Baltimore, USA -
Algorithm Parameter Optimization with Evolutionary Algorithms.
Stock, S.; Kubach, S.; Straub, J.
2017. ARVO imaging in the Eye Conference, 2017 Baltimore, May 06, 2017