Research Output per year
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Cameras
Engineering & Materials Science
Cellular neural networks
Engineering & Materials Science
Textures
Engineering & Materials Science
Pixels
Engineering & Materials Science
Color
Engineering & Materials Science
Remote sensing
Engineering & Materials Science
Statistics
Engineering & Materials Science
Processing
Engineering & Materials Science
Network
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Research Output 1984 2019
A hybrid CNN approach for single image depth estimation: A case study
Harsányi, K., Kiss, A., Majdik, A. & Szirányi, T., Jan 1 2019, Multimedia and Network Information Systems - Proceedings of the 11th International Conference MISSI 2018. Choros, K., Kopel, M., Kukla, E. & Sieminski, A. (eds.). Springer Verlag, p. 372-381 10 p. (Advances in Intelligent Systems and Computing; vol. 833).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Decoding
Robotics
Cameras
Calibration
Neural networks
2
Citations
(Scopus)
Deeprn: A Content Preserving Deep Architecture for Blind Image Quality Assessment
Varga, D., Saupe, D. & Szirányi, T., Oct 8 2018, 2018 IEEE International Conference on Multimedia and Expo, ICME 2018. IEEE Computer Society, 8486528. (Proceedings - IEEE International Conference on Multimedia and Expo; vol. 2018-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Image quality
Image classification
Neural networks
Experiments
Deep learning
3
Citations
(Scopus)
Obstacle Prediction for Automated Guided Vehicles Based on Point Clouds Measured by a Tilted LIDAR Sensor
Rozsa, Z. & Szirányi, T., Feb 6 2018, (Accepted/In press) In : IEEE Transactions on Intelligent Transportation Systems.Research output: Contribution to journal › Article
Sensors
Printed circuit boards
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