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nazli ikizler-cinbis

I am an associate professor of computer science at Computer Engineering Department of Hacettepe University in Ankara, Turkey. I received my BSc, MS and PhD degrees from Bilkent University Computer Engineering Department. Before joining here, I was a post-doctoral researcher in Boston University Computer Science Department, working with Prof. Stan Sclaroff and was a member of Image and Video Computing Group . Between Feb 2005 to June 2006, I was a visiting scholar in UIUC working with Prof. David Forsyth in Computer Vision Group .

My primary area of research is computer vision, machine learning (especially deep learning) and data mining. I am particularly interested in human action/activity understanding, zero-shot learning and image/video captioning.

Check out the web page of our Computer Vision Lab .

Curriculum Vitae

Google Scholar Page


Scholarships are available, please send CV if interested!

NEWS

  • [Jan 2020] Collective Sports dataset has been released, check out its web page !
  • [Jan 2020] Our paper "CollectiveSports: A Multi-task dataset for collective activity recognition" has been accepted to Image And Vision Computing! [Pre-print].
  • [Sept 2019] I gave a talk at BMVA Symposium on Video Understanding.
  • [Sept 2019] Our 4th year undergraduate students Berk, Umit and Tarik's project on "Fine Grained Object Recognition for Visually Impaired" has won the first place in Turkey at TÜBİTAK's research project competition Information and Communications category.
  • [July 2019] Our paper "Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?" has been accepted to BMVC 2019.
  • [July 2019] Our paper "Image Captioning with Unseen Objects" has been accepted to BMVC 2019.
  • [June 2019] Our 4th year students Berk, Umit and Tarik's project on "Fine Grained Object Recognition for Visually Impaired" has won the first place in Ankara region of TÜBİTAK's research project competition.
  • [June 2019] Our paper "Mask Guided Fusion For Group Activity Recognition In Images" has been accepted to ICIAP 2019.
  • [May 2019] Our paper "Learning Visually Consistent Label Embeddings for Zero-Shot Learning" has been accepted to ICIP 2019.
  • [Feb 2019] Our paper entitled "Region Based Multi-Stream Convolutional Neural Networks for Collective Activity Recognition" has been accepted for publication in Elsevier Journal of Visual Communication and Image Representation.
  • [Aug 2018] Our paper entitled "RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes" has been accepted for publication in EMNLP 2018!
  • [July 2018] Our paper entitled "Zero-shot Object Detection by Hybrid Region Embedding" has been accepted for publication in BMVC 2018!
  • [April 2018] Our paper entitled "Histograms of sequences: a novel representation for human interaction recognition" has been accepted for publication in IET Computer Vision.
  • [July 2017] Our paper on unsupervised zero-shot learning has been accepted to International Conference on Computer Vision (ICCV 2017).
  • [July 2017] I will serve as an Area Chair of CVPR 2018.
  • [Feb 2017] Our paper entitled "Space-Time Tree Ensemble for Action Recognition and Localization" has been accepted to International Journal on Computer Vision.
  • [Dec 2016] Project on "Recognition of Collective Activities via Deep Learning Techniques" has been accepted for funding by TUBITAK.
  • [Dec 2016] Our paper on "Low-level features for visual attribute recognition: An evaluation" has been published in Pattern Recognition Letters.
  • [July 2016] I will serve as an Associate Editor for IET Computer Vision journal.
  • [May 2016] Our BSc and MS students Unal, Citamak and Yagcioglu received the first place in Alper Atalay Best Student Paper Award in SIU 2016, with their paper entitled "TasvirEt: A Benchmark Dataset for Automatic Turkish Description Generation from Images".
  • [May 2016] Our MS student Berkan Demirel received the third place in Alper Atalay Best Student Paper Award in SIU 2016, with our paper entitled "Visual Saliency Estimation via Attribute Based Classifiers and Conditional Random Fields" .



contact

Hacettepe University
Department of Computer Engineering
Beytepe Campus
Ankara, Turkey, 06800
email