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

Hacettepe University
Faculty Member
Ecole Nationale
Supérieure des Télécommunications
Post-doctoral Researcher
Middle East Technical University
Ph.D., 2008
M.Sc., 2003
B.Sc., 2001

University of California
Los Angeles
Visiting Researcher
Oct. 2007 - Dec. 2007
Virginia Bioinformatics Institute, Virginia Tech
Visiting Researcher
Jul. 2004 - Aug. 2004

News and highlights

[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.

Curriculum Vitae (as of December 2018)

Selected Publications

  • Manipulating Attributes of Natural Scenes via Hallucination,
    L. Karacan, Z. Akata, A. Erdem and E. Erdem, arXiv preprint arXiv:1808.07413, August 2018
    :: pdf
    :: project page (with code)

  • RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes,
    S. Yagcioglu, A. Erdem, E. Erdem, and N. Ikizler-Cinbis, Conference on Empirical Methods in Natural Language Processing (EMNLP) 2018, Brussels, Belgium, October-November 2018
    :: pdf
    :: project pages (with data and leaderboard)

  • Spatio-Temporal Saliency Networks for Dynamic Saliency Prediction,
    C. Bak, A. Kocak, E. Erdem and A. Erdem, IEEE Transactions on Multimedia, 20(7). pp. 1688-1698, July 2018.
    :: pdf

  • Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks,
    S. U. H. Dar, M. Yurt, L. Karacan, A. Erdem, E. Erdem, T. Cukur, arXiv preprint arXiv:1802.01221, February 2018
    :: pdf

  • Alpha Matting with KL-Divergence Based Sparse Sampling,
    L. Karacan, A. Erdem and E. Erdem, IEEE Transactions on Image Processing, 26(9), pp. 4523-4536, September 2017
    :: pdf

  • Re-evaluating Automatic Metrics for Image Captioning,
    M. Kilickaya, A. Erdem, N. Ikizler-Cinbis and E. Erdem, The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Valencia, Spain, April 2017
    :: pdf

  • An Objective Deghosting Quality Metric for HDR Images,
    O. T. Tursun, A. O. Akyuz, A. Erdem and E. Erdem, Computer Graphics Forum (Eurographics 2016), 35(2), pp. 139-152, May 2016
    :: project page (with code)
    :: pdf

  • Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures,
    R. Bernardi, R. Cakici, D. Elliott, A. Erdem, E. Erdem, N. Ikizler-Cinbis, F. Keller, A. Muscat, B. Plank, Journal of Artificial Intelligence Research, 55, pp. 409-442, February 2016
    :: pdf

  • Image Matting with KL-Divergence Based Sparse Sampling,
    L. Karacan, A. Erdem and E. Erdem, IEEE International Conference on Computer Vision (ICCV 2015),, Santiago, Chile, December 2015
    :: project page
    :: pdf

  • The State of the Art in HDR Deghosting: A Survey and Evaluation,
    O. T. Tursun, A. O. Akyuz, A. Erdem and E. Erdem, Computer Graphics Forum (Eurographics State-of-the-art Report (STAR) 2015), 34(2), pp. 683-707, May 2015
    :: pdf

  • Structure Preserving Image Smoothing via Region Covariances,
    L. Karacan, E. Erdem and A. Erdem, ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2013), Vol. 32, No. 6, November 2013
    :: project page (with code)
    :: pdf

  • Visual saliency estimation by nonlinearly integrating features using region covariances,
    E. Erdem and A. Erdem, Journal of Vision, Vol. 13, No. 4, pp. 1-20, March 2013
    :: project page (with code)
    :: pdf

For a full list of publications, please see the Publications page.


Ph.D. Students

M.Sc. Students

Former Students




  • BBM413: Fundamentals of Image Processing (Fall 2018)




image courtesy: iwdrm