Farzad Toutounchi

Farzad Toutounchi photo

Contact Details

Office: Eng152
Email: f.toutounchi@qmul.ac.uk
LinkedIn: uk.linkedin.com/in/toutounchi


Biography


I am a post-graduate researcher and a PhD candidate at Multimedia and Vision Research Group of Queen Mary University of London. I received my BSc from Amirkabir University of Technology and my MSc from RWTH Aachen University, both in electrical engineering. My research interests include Multimedia Processing and Analysis, Multimedia Communicaion and Coding, and Machine Learning.


Publications


Farzad Toutounchi, Ebroul Izquierdo, "Advanced Super-Resolution Using Lossless Pooling Convolutional Networks," IEEE Winter Conference on Applications of Computer Vision, 1562-1568, Waikoloa Village, HI, USA, 2019.


Farzad Toutounchi, Ebroul Izquierdo, "Enhancing Digital Zoom in Mobile Phone Cameras by Low Complexity Super-Resolution," IEEE International Conference on Multimedia and Expo Workshops, 1-6, San Diego, CA, USA, 2018.


Farzad Toutounchi, Ebroul Izquierdo, "An Open Access User Generated Video Dataset from 2016 Edinburgh Festival," 7th Latin American Conference on Networked and Electronic Media, 12-15, Valparaiso, Chile, 2017.


Farzad Toutounchi, Valia Guerra Ones, Ebroul Izquierdo, "An Efficient Video Super-Resolution Approach based on Sparse Representation," IEEE 19th International Workshop on Multimedia Signal Processing, 1-6, Luton, UK, 2017.


Jan-Thorsten Peter, Farzad Toutounchi, Stephan Peitz, Parnia Bahar, Andreas Guta, and Hermann Ney, "The RWTH Aachen German to English MT Systems for IWSLT 2015," International Workshop on Spoken Language Translation, 15-22, Da Nang, Vietnam, 2015.


Jan-Thorsten Peter, Farzad Toutounchi, Joern Wuebker, and Hermann Ney, "The RWTH Aachen German-English Machine Translation Systems for WMT 2015," EMNLP Tenth Workshop on Statistical Machine Translation, 158-163, Lisbon, Portugal, 2015.


Franz Domenic Boos, Ralph Baltes, Farzad Toutounchi, Karl Nienhaus, and Sebastian Denault, "Data Reduction Approach - Acoustic Emission (AE) Based Defect Analysis: Development of Burst Detector Algorithms," Society for Machinery Failure Prevention Technology, 3-13, Virginia Beach, VA, USA, 2014.