• 1447 Citations
  • 19 h-Index
1984 …2019
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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.

  • 1 Similar Profiles
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

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Research Output 1984 2019

  • 1447 Citations
  • 19 h-Index
  • 103 Conference contribution
  • 55 Article
  • 5 Chapter
  • 1 Conference article

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: Conference contribution

Neural networks

Street object classification via LIDARs with only a single or a few layers

Rozsa, Z. & Szirányi, T., máj. 6 2019, IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018. Institute of Electrical and Electronics Engineers Inc., p. 156-161 6 p. 8708881. (IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018).

Research output: Conference contribution

Intelligent vehicle highway systems
Object detection
Deep learning
2 Citations (Scopus)

Deeprn: A Content Preserving Deep Architecture for Blind Image Quality Assessment

Varga, D., Saupe, D. & Szirányi, T., okt. 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: Conference contribution

Image quality
Image classification
Neural networks
Deep learning