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Eingebettete Intelligenz

Publikationen

Seite 4 von 5.

  1. A Survey of Graphical Page Object Detection with Deep Neural Networks

    In: Applied Sciences, Vol. 11, No. 12, Pages 1-21, MDPI, Basel, Switzerland, 6/2021.

  2. Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

    In: Radu Danescu (Hrsg.). Sensors - Open Access Journal (Sensors), Vol. 21, No. 15, Pages 1-30, MDPI, 2021.

  3. Ayushman Dash; Amit Sahu; Rajveer Shringi; John Gamboa; Muhammad Zeshan Afzal; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    AirScript - Creating Documents in Air

    In: ICDAR. International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017.

  4. Muhammad Zeshan Afzal; Andreas Kölsch; Sheraz Ahmed; Marcus Liwicki

    Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification

    In: ICADR. International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017.

  5. Ayushman Dash; John Cristian Borges Gamboa; Sheraz Ahmed; Marcus Liwicki; Muhammad Zeshan Afzal

    TAC-GAN-text conditioned auxiliary classifier generative adversarial network

    arxiv, 2017.

  6. Riaz Ahmad; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Thomas Breuel; Andreas Dengel

    A Novel Skew Detection and Correction Approach for Scanned Documents

    In: DAS. IAPR International Workshop on Document Analysis Systems (DAS-12), April 11-14, Santorini, Greece, DAS, 4/2016.

  7. Semi-Automated Transcription Generation for Pashto Cursive Script

    In: Journal of Applied Environmental and Biological Sciences . Journal of Applied Environmental and Biological Sciences , Pages 96-101, Vol. 6, …

  8. Riaz Ahmad; Saeeda Naz; Muhammad Zeshan Afzal; Sayed Hassan Amin

    Robust Optical Recognition of Cursive Pashto Script Using Scale, Rotation and Location Invariant Approach

    In: Public Library of Science (Hrsg.). PLoS ONE, Vol. 10, No. 9, Pages 1-16, PLoS, 9/2015.

  9. Riaz Ahmad; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Thomas Breuel

    Scale and Rotation Invariant OCR for Pashto Cursive Script using MDLSTM Network

    In: IEEE. International Conference on Document Analysis and Recognition (ICDAR-13), August 22-26, Nancy, France, Other, 8/2015.

  10. Riaz Ahmad; Muhammad Zeshan Afzal; Sheikh Faisal Rashid; Marcus Liwicki; Andreas Dengel; Thomas Breuel

    Recognizable Units in Pashto Language for OCR

    In: IEEE Xplore (Hrsg.). MOCR. International Conference on Document Analysis and Recognition (ICDAR-13), August 22-26, Nancy, France, other, 8/2015.

Kontakt

Sekretariat:
Shannon Kittrell, B.A.
Tel.: +49 631 20575 4010

Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Forschungsbereich Eingebettete Intelligenz
Trippstadter Str. 122
67663 Kaiserslautern
Deutschland