Erkut Erdem
Associate Professor
Computer Vision Laboratory (HUCVL)
Dept. of Computer Engineering
Hacettepe University
Office: 112
Address: Beytepe Campus,
Ankara, Turkey TR-06800
e-mail: erkut at cs dot hacettepe dot edu dot tr
Phone: +90 312 297 7500 / 147
Fax: +90 (312) 297 7502
My research centers on the areas of computer vision and machine learning. I believe the right algorithms and representations are the ones that take into account the contextual influences. Thus, the research objective that my students and I pursue is to incorporate different kinds of context (spatial, temporal and/or cross-modal) into all levels of visual processing from low to intermediate and high-level vision.
Current research interests: Visual Saliency Prediction, Automatic Image Description, Video/Photoset Summarization, Image Filtering, Image Editing
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Hacettepe University Faculty Member 2010-now |
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Ecole Nationale Supérieure des Télécommunications Post-doctoral Researcher 2009-2010 |
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Middle East Technical University 1997-2008 Ph.D., 2008 M.Sc., 2003 B.Sc., 2001 |
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University of California Los Angeles Visiting Researcher Oct. 2007 - Dec. 2007 |
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Virginia Bioinformatics Institute, Virginia Tech Visiting Researcher Jul. 2004 - Aug. 2004 |
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News and highlights
[February 2019]: Our joint work with ICON lab at UMRAM, Bilkent University on multi-contrast MRI synthesis with GANs has been accepted for publication in IEEE Transactions on Medical Imaging.
[December 2018]: I will give a talk on Integrated Vision and Language at ITURO 2019.
[December 2018]: I have received The Young Researcher Award given by Turkish Academy of Sciences.
[August 2018]: Our work on manipulating transient attributes of natural scenes via hallucination is out on arXiv.
[August 2018]: Our work on multimodal machine comprehension is accepted to EMNLP 2018: "RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes". Read our paper, download the data, and submit your predictions at our project website.
[March 2018]: Our joint project with Lucia Specia from the University of Sheffield on "A Multimodal and Multilingual Framework for Video Captioning" has received financial support from TUBITAK - British Council’s Newton-Katip Çelebi Fund Institutional Links Grant Programme.
[March 2018]: I am invited to Dagstuhl Seminar "Joint Processing of Language and Visual Data for Better Automated Understanding".
[February 2018]: Our joint work with ICON lab at UMRAM, Bilkent University on utilizing GANs for multi-contrast MRI synthesis is out on arXiv.
[January 2018]: New TUBITAK 1001 project on "Using Synthetic Data for Deep Person Re-Identification", in partnership with HUCG (Hacettepe University Computer Graphics and Game Studies) group.
[November 2017]: Our work on deep dynamic saliency prediction will be published in IEEE Transactions on Multimedia: "Spatio-Temporal Saliency Networks for Dynamic Saliency Prediction".
[October 2017]: I am awarded a hardware donation (a Quadro P5000 GPU) from NVIDIA for my research.
[September 2017]: New TUBITAK 1003 project on "Summarization Approaches Towards Interpreting Big Visual Data", in partnership with Somera.
[June 2017]: Our work on sampling-based image and video matting will be published in IEEE Transactions on Image Processing: "Alpha Matting with KL-Divergence Based Sparse Sampling".
[May 2017]: Slides from our "Adversarial Training and Generative Adversarial Networks" tutorial at SIU 2017 are now available online.
