Activities

Journal Publications

Under Review
  • Melek Türkmen, Sanem Meral, Baris Yilmaz, Melis Çıkış, Erdem Akagündüz, Salih Tileylioglu “Deep Learning-based Epicenter Localization using Single-Station Strong Motion Records” [arXiv]
  • Engin Uzun, Erdem Akagündüz “How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?” [arXiv]
  • Ümit Mert Çağlar, Baris Yilmaz, Melek Türkmen, Erdem Akagündüz, Salih Tileylioglu “Exploring Challenges in Deep Learning of Single-Station Ground Motion Records” [arXiv]
  • Aytekin Erdoğan, Erdem Akagündüz “FuseFormer: A Transformer for Visual and Thermal Image Fusion” [arXiv]
    • Published
  • İrem Ülkü, O. Özgür Tanrıöver, Erdem Akagündüz “Near-Infrared and Low-Rank Adaptation of Vision Transformers in Remote Sensing” IEEE GRSL 2024 [IEEEXplore][arXiv]
  • Kevser Irem Danaci, Erdem Akagündüz “A Survey on Infrared Image and Video Sets” MTAP 2023 [Springer] [arXiv]
  • Irem Ulku, Erdem Akagündüz, Pedram Ghamisi “Deep Semantic Segmentation of Trees Using Multi-Spectral Images” IEEE JSTARS 2022 [IEEEXplore]
  • Irem Ulku, Erdem Akagündüz, “A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images” AAI 2022 [Taylor&Francis][arXiv]
  • Erdem Akagündüz, Oğuzhan Çifdalöz “Dynamical System Parameter Identification using Deep Recurrent Cell Networks” NCAA 2021 [Springer][arXiv]
  • Alper Kaplan, Erdem Akagündüz, “A Hybrid Framework for Matching Printing Design Files to Product Photos” BAJECE 2020 [DergiPark][arXiv]
  • H. Seçkin Demir, Erdem Akagündüz, “Filter Design for Small Target Detection on Infrared Imagery Using Normalized-Cross-Correlation Layer” TJEECS 2020 [TÜBİTAK][arXiv]
  • Erdem Akagündüz, Adrian Bors, Karla Evans, “Visual Memory Schema and Image Memorability” IEEE Trans. PAMI 2019 [IEEEXplore][arXiv]
  • Erdem Akagündüz, Muzaffer Aslan, Abdulkadir Sengür, Haibo Wang, Melih C. İnce “Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos” IEEE J. Biomedical and Health Informatics (JBHI), vol. PP, no. 99, May 2016 [IEEEXplore]
  • Erdem Akagündüz “Shape Recognition using Orientational and Morphological Scale-spaces of Curvatures”, J. IET Computer Vision, vol. 9 no. 5, p. 750–757 , Oct. 2015 [IEEEXplore]
  • İlkay Ulusoy, Erdem Akagündüz, Murat Yirci, “Anatomical and Dynamic Volume Spline Model Applied to Facial Soft Tissue”, J. Computer Animation and Virtual Worlds (JCAVW) vol. 22, no. 6, p. 542-554, 2011 [Wiley]
  • İlkay Ulusoy, Erdem Akagündüz, Fidan Sabucluoğlu, Serkan Görgülü, Özlem Üçok, “Use of Dynamic Volume Spline Method to Predict Facial Soft Tissue Changes Associated with Orthognathic Surgery”, J. Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology and Endodontology (JOOOE), vol 110, no. 5, 2010 [ScienceDirect]
  • Erdem Akagündüz, İlkay Ulusoy, “3D Object Recognition from Range Images Using Transform Invariant Object Representations” J. IET Electronic Letters, vol. 46, no. 22, 2010 [IET-Dig.Lib.]
  • Erdem Akagündüz, İlkay Ulusoy, “3D Face Detection Using Transform Invariant Features” J. IET Electronic Letters, vol. 46, no. 13, 2010 [IET-Dig.Lib.]
  • İlkay Ulusoy, Erdem Akagündüz, Gerhard-Wilhelm Weber “Inverse Solution for Parameter Estimation of a Dynamic Volume Spline Based Forehead Skin Model” J. Inverse Problems In Science And Engineering, vol 18, no.5, 2010 [Taylor&Francis]
  • İlkay Ulusoy, Erdem Akagündüz, Gerhard-Wilhelm Weber “Estimation of Parameters for Dynamic Volume Spline Models” J. Inverse Problems In Science And Engineering, Taylor & Francis, (Special Issue Int. Conf. Engineering Optimization EngOpt2008) vol. 18, no. 4, 2010 [Taylor&Francis]

    • International Conference Papers

    Oral Presentations
    • Övgü Özdemir, Erdem Akagündüz, “Enhancing Visual Question Answering through Question-driven Image Captions as Prompts” Int. Conf. on Computer Vision and Pattern Recognition, Promting in Vision Worskhop CVPR-W 2024 [arXiv]
    • Abbas Türkoğlu, Erdem Akagündüz, “EANet: Enhanced Attribute-Based RGBT Tracker Network”, ICMV 2023 [arXiv][SPIE]
    • Fatih Çağan Akyon, Erdem Akagündüz, Sinan Onur Altınuç, Alptekin Temizel “Sequence Models for Drone vs Bird Classification”, ICMV 2023 [arXiv][SPIE]
    • Gülin Tüfekci, Alper Kayabaşı, Erdem Akagündüz, İlkay Ulusoy “Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders”, ECCV-W 2022 [Springer][arXiv]
    • Irem Ulku, Erdem Akagündüz, “Semantic Segmentation of Crop Areas in Remote Sensing Imagery using Spectral Indices and Multiple Channels”, ICMV 2022 [SPIE]
    • Engin Uzun, Ahmet Anıl dursun, Erdem Akagündüz, “Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models”, CVPR-W 2022 [IEEEXplore] [arXiv]
    • Irem Ulku, Panagiotis Barmpoutis, Tania Stathaki, Erdem Akagündüz, “Comparison of Single Channel Indices for U-Net-based Segmentation of Vegetation in Satellite Images”, ICMV 2019 [SPIE]
    • Erhan Gündoğdu, Hüseyin Özkan, H. Seçkin Demir, Hamza Ergezer, Erdem Akagündüz, S. Kubilay Pakin, “Comparison of Infrared and Visible Imagery for Object Tracking: Toward Trackers with Superior IR Performance”, CVPR-W 2015 [IEEEXplore]
    • Fulya Tuncer Çetin, Burcu Yılmaz, Yıldıray Kabak, J.H. Lee, Cengiz Erbaş, Erdem Akagündüz, S.J. Lee, “Increasing Maritime Situational Awareness with Interoperating Distributed Information Sources”, ICCRTS 2013 [DTIC]
    • Cengiz Erbaş, Fulya Tuncer Çetin, Burcu Yılmaz, Erdem Akagündüz, Yıldıray Kabak, Aykut Bulca, “Increasing Maritime Situational Awareness with Interoperating Distributed Information Sources”, FutSec 2012 [Springer]
    • Erdem Akagündüz, İlkay Ulusoy, “Scale and Orientation Invariant 3D Interest Point Extraction Using HK Curvatures” ICCV-W 2009 [IEEEXplore]
    • Erdem Akagündüz, Arzu Erener, İlkay Ulusoy, H. Şebnem B. Düzgün, “Deliniation of Slope Units Based On Scale And Resolution Invariant 3D Curvature Extraction”, IEEE International Geoscience & Remote Sensing Symposium, July 6-11, IGARSS 2008 [IEEEXplore]
    • Erdem Akagündüz, İlkay ulusoy, “3D Object Representation Using Transform and Scale Invariant 3D Features” ICCV-W 2007 [IEEEXplore]
    • Erdem Akagündüz, İlkay Ulusoy, “Extraction of 3D Transform and Scale Invariant Patches from Range Scans” CVPR-W 2007 [IEEEXplore]
    • Erdem Akagündüz, İlkay Ulusoy, Nesli Bozkurt, Uğur Halıcı, “A Physically-based Facial Skin Model to Simulate Facial Expressions on Digitally Scanned 3D Models” 22nd International Symposium on Computer and Information Sciences, ISCIS 2007 [IEEEXplore]
    • Erdem Akagündüz, Uğur Halıcı, “Simulation and Synchronization of Human Facial Expressions and Lip Motion for Turkish Syllables”, 12. Int. Turkish Symposium on Artificial Intelligence and Neural Networks, TAINN 2003.
      • Posters
    • Erdem Akagündüz, “Silhouette Orientation Images for Shape Recognition” 22nd Int. Conf. on Pattern Recognition ICPR-W 2014 [FEAST2014]
    • Erdem Akagündüz, Ömer Eskizara, İlkay Ulusoy, “Scale-Space Approach For The Comparison Of HK And SC Curvature Descriptions as Applied to Object Recognition” IEEE International Conference on Image Processing, Nov 7-9, ICIP 2009 [IEEEXplore]
    • Erdem Akagündüz, Uğur Halıcı, “Animation of Lip Motions and Facial Expressions Using 3D Homoemorphic Modes”, 4. ICVGIP 2004 [SemanticScholar]

    Book Chapters

    • Erdem Akagündüz, İlkay Ulusoy “3D Object Registration and Recognition using Range Images” Object Recognition, INTECT, ISBN: 978-953-307-222-7. 2010 [Intech]

    National Conference Papers

    Oral Presentations
    • Melis Çıkış, Salih Tileylioğlu, Erdem Akagündüz, “Evrişimsel Ağ Kullanımı için Deprem İvmeölçer Kayıtlarının Gösterimi” SIU 2020 [IEEEXplore]
    • Engin Uzun, Tolga Aksoy, Erdem Akagündüz, “Sığ Evrişimli Ağlar ile Kızıl Ötesi Hedef Tespiti” SIU 2020 [IEEEXplore]
    • Leonardo O. Iheme, Şükrü Ozan, Erdem Akagündüz, “Machine Learning-based Silence Detection in Call Center Telephone Conversations” IDAP 2019 [IEEEXplore]
    • Engin Uzun, Erdem Akagündüz, “Tam Evrişimli Ağlardaki Atlama Bağlantılarının Plaka Konumu Bulmaya Etkisi Üzerine bir İnceleme” SIU 2019 [IEEEXplore]
    • Hüseyin Seçkin Demir, Erdem Akagündüz, S. Kubilay Pakin, “Ataletsel Veri ve Kızılötesi Görüntü ile İnsansız Uçan Sistemlerde Gemi Tanıma” SIU 2015 [IEEEXplore]
    • Burcu Yılmaz, Fulya Tuncer, Yıldıray Kabak, Erdem Akagündüz, Cengiz Erbaş, “Dağıtık Veri Kaynaklarının Birlikte Çalışabilirliğinin Sağlanması ile Denizde Durumsal Farkındalığının Arttırılması” SAVTEK 2014.
    • Erdem Akagündüz, “Ölçekten Bağımsız Öznitelik Resimleri” (En iyi 2. Uygulama Bildirisi Ödülü) SIU 2013 [IEEEXplore]
    • Lütfi Murat Gevrekci, Mehmet Umut Demirçin, Erdem Akagündüz, “Gerçek Zamanlı Görüntü Çakıştırma” SIU 2012 [IEEEXplore]
    • Erdem Akagündüz, İlkay Ulusoy “HK ve SC Eğrilik Tanımlarının 3B Nesne Tanıma Amacıyla Ölçek Uzaylarında Karşılaştırılması” SIU 2009 [IEEEXplore]
    • Ömer Eskizara, Erdem Akagündüz, İlkay Ulusoy “Geometrik Kıyım Yöntemi ile 3B Nesne Tanıma” SIU 2009 [IEEEXplore]
    • Nesli Bozurt, Uğur Halıcı, İlkay Ulusoy, Erdem Akagündüz, “Yüz Tarayıcısı Verilerinin İyileştirilmesi için 3B Veri İşleme” SIU 2009 [IEEEXplore]
    • Erdem Akagündüz, İlkay Ulusoy “3B Yüzlerin Ölçek ve Dönüşümden Bağımsız Öznitelikler ile Gösterilmesi” SIU 2008 [IEEEXplore]
    • Ahmet Oğuz Öztürk, Uğur Halıcı, İlkay Ulusoy, Erdem Akagündüz, “Stereo Görüntü ve Yapısal Işık Kaynağı Kullanarak 3B Yüz Geri-çatımı” SIU 2008 [IEEEXplore]
    • Erdem Akagündüz, İlkay Ulusoy, Nesli Bozkurt, Uğur Halıcı, “2.5B Verinin Ölçekten Bağımsız Gösterilmesi” SIU 2007 [IEEEXplore]
    • Soner Büyükatalay, Uğur Halıcı, Erdem Akagündüz, İlkay Ulusoy, Kemal Leblebicioğlu. “Çoklu Görüntülerden 3B Yüz Modeli Oluşturma” SIU 2006 [IEEEXplore]
    • Erdem Akagündüz, Uğur Halıcı, İlkay Ulusoy “Türkçe Dudak Hareketlerinin Ve Yüz İfadelerinin 3 Boyutlu Ortamda Benzetimi Ve Bir Türkçe Ses Makinasıyla Eş Zamanlı Hale Getirilmesi” SIU 2004 [IEEEXplore]
    • Erdem Akagündüz, Uğur Halıcı ““Simulation and Synchronization of Human Facial Expressions and Lip Motion for Turkish Syllables” TAINN 2003
      • Posters
    • Erhan Akan, Erdem Akagündüz, İ. Baran Uslu “Ataletsel ve EMG Sensörlerin Kaynaşımını Kullanan Akıllı Eldiven Sistemi Tasarımı” SIU 2019.
    • Leonardo Iheme, Erdem Akagündüz, Şükrü Ozan “Ses Etkinliği Tespiti için Müşteri-Operatör Görüşmelerinin Makine Öğrenimi Tabanlı İşaretlenmesi” SIU 2019.

    Patents and Utility Models

    • Engin Uzun, Tolga Aksoy, Erdem Akagündüz, “A method for training shallow convolutional neural networks for infrared target detection using a two-phase learning strategy”
      Patent ASELSAN Inc. (Granted TR/22, Pending: EP)
      [Google Patents]
    • H. Seckin Demir, Erdem Akagündüz, “Filter design for small target detection on infrared imagery using normalized-cross-correlation layer in neural networks”
      Patent ASELSAN Inc. (Granted TR/18, Pending: US, EP)
      [Google Patents]
    • Erdem Akagündüz, “System And Method For Estimating Target Size”
      Patent ASELSAN Inc. (Granted: TR/15, EP/16, JP/16, KR/16)
      [Google Patents]
    • Erdem Akagündüz, “System And Method For Identifying Scale Invariant Features Of Object Outlines On Images”
      Patent ASELSAN Inc. (Granted: TR/15, US/15, JP/15)
      [Google Patents]
    • Erdem Akagündüz, “Method For Updating Target Tracking Window Size”.
      Patent ASELSAN Inc. (Granted: EP/15, SA/16, TR/16)
      [Google Patents]
    • Erdem Akagündüz, “System And Method For Describing Image Outlines”.
      Patent ASELSAN Inc. (Granted: KR/15, US/17, JP/17)
      [Google Patents]
    • Erdem Akagündüz (and 7 other inventors) “Elektro-Optik sistemler için algoritma geliştirme ve veri tabanı oluşturmada kullanılan bir döngü sistemi”.
      Utility Model ASELSAN Inc. (Granted: TR/17)

    Theses Supervised

    • Co-Supervisor to : “DEEP LEARNING-BASED APPLICATIONS OF CONTROL ENGINEERING”, Master Thesis by Sanem Meral, September 2023,
      submitted to the Department of Electrical & Electronics Engineering,
      Çankaya University, Ankara, Turkey
    • Supervisor to : “DEEP LEARNING-BASED OBJECT TRACKING SYSTEM BY USING VISUAL AND THERMAL INFRARED FUSION”, Master Thesis by Abbas Türkoğlu, August 2023,
      submitted to the Graduate School of Informatics,
      METU, Ankara, Turkey
    • Supervisor to : “A TRANSFORMER-BASED APPROACH FOR FUSING INFRARED AND VISIBLE BAND IMAGES”, Master Thesis by Aytekin Erdoğan, August 2023,
      ssubmitted to the Graduate School of Informatics,
      METU, Ankara, Turkey
    • Supervisor to : “DEEP LEARNING-BASED INFRARED TARGET DETECTION”, Master Thesis by K. İrem Danacı, January 2023,
      submitted to Sivas Science and Technology University Graduate School,
      Sivas, Turkey
    • Supervisor to : “DETECTION OF ANOMALOUS FUND TRANSFERS BETWEEN DIFFERENT BANKS”, Master Thesis by Abdullah Mert Tuncay, September 2022,
      submitted to the Graduate School of Informatics,
      METU, Ankara, Turkey
    • Supervisor to : “EFFICIENT IMPLEMENTATION OF CONVOLUTIONAL NEURAL NETWORKS ON EMBEDDED DEVICES”, Master Thesis by Barış Yılmaz, September 2022,
      submitted to the Department of Electrical & Electronics Engineering,
      Çankaya University, Ankara, Turkey
    • Supervisor to : “MACHINE LEARNING OF ACCELEROGRAM DATA FOR ANALYSES, MODELING AND PREDICTION”, Master Thesis by Melis Çıkış, September 2022,
      submitted to the Department of Electrical & Electronics Engineering,
      Çankaya University, Ankara, Turkey
    • Co-Supervisor to : “A DATA COLLECTION SYSTEM DESIGN FOR HAND GESTURES”, Master Thesis by Erhan AKAN, June 2019,
      submitted to the Department of Electrical & Electronics Engineering,
      Atılım University, Ankara, Turkey

    Research Projects

    • Supervisor in : TÜBİTAK – 1001 “Generation and Real-Time Implementation of Acceleration Response Spectrum for Early Warning and Forecasting Purposes by using Regional Geological Data and Accelerometer Records fed into Deep Generative Networks” 2024 – 2026,
    • Supervisor in : METU – ADEP “Station-based Accelerometer Record Generation and Analysis using Deep Learning” 2024 – 2025,
    • Senior Researcher in : “National Competence Centres in the Framework of EuroHPC”” 2024 – 2025
    • Supervisor in : METU BAP “Deep Learning Based and Real-Time Visual Tracking System Using Infrared and Visible Band Fusion” 2023-2024,
    • Researcher/Co-Supervisor in : TÜBİTAK – 1001 “Deep Learning and Machine Learning Based Dynamic Soil and Earthquake Parameter Estimation Using Strong Ground Motion Station Records” Project Supervisor: Asst. Prof. Dr. Salih Tileylioğlu / Kadir Has Uni. 2021 – 2023,
    • Supervisor in : Çankaya Uni. BAP “Construction of GPU Driver Infrastructure for Deep Learning Research” 2020-2021
    • Researcher in : EUREKA/ITEA2 (RECONSURVE Pr.No.09036) / TUBITAK- TEYDEB (Pr.No.9100012). “A Reconfigurable Surveillance System with Communicating Smart Sensors” Project Manager: Dr. Cengiz Erbaş / ASELSAN 2010 – 2013
    • PhD Student Researcher in : TÜBİTAK – 105E128 “Fusion of different imaging modalities for 3D human head modeling which includes characteristic hard and soft tissue information as well as realistic photographic view” Project Manager: Asst. Prof. Dr. İlkay Ulusoy / METU Jan 2006 – May 2008,
    • PhD Student Researcher in : Intl. Workshop on Multimodal Interfaces, Istanbul, Turkey, eNTERFACE’2007, Workshop Manager: Prof. Dr. Bülent Sankur / Bogazici Uni. 2007 [SemanticScholar]
    • MSc Student Researcher in : BAP-2002-07-04-04 “Face Recognition and Modelling” Project Manager: Prof. Dr. Uğur Halıcı / METU Sep. 2002 – Aug. 2003

    Consultancies and Other Activities

    • Academic Consultant to : TUBITAK 1501 “Multitask learning for Vision Transformer Architectures” with TyX Tech. Inc. 2024-2025
    • Academic Consultant to : TUBITAK 1501 “Infrared Visual Navigation Systems”
      with ESEN Systems Inc. 2023-2024
    • Academic Consultant to : “Advanced Embedded Computer Vision Systems”
      with OPSIN Inc. 2023
    • Academic Consultant to : TUBITAK 1501 “Real-time Yoga pose estimation for mobile system” with trueyogi.com 2022-2024
    • Academic Consultant to : TUBITAK 1501 “Derin Öğrenme Tabanlı Otoyol Olay Algılama Sistemleri İçin Algoritma Geliştirme” (Developing Algorithms for Learning-Based Highway Incident Detection Systems) with TyX Tech. Inc. 2021-2022
    • Academic Consultant to : TUBITAK 1501 “Olumsuz Çağrı Merkezi Görüşmelerinin Derin Yapay Sinir Ağları İle Otomatik Tespiti” (Automatic Detection of Negative Call Center Calls with Deep Artificial Neural Networks) with AdresGezgini Inc. 2021-2022
    • Organizer to : ““SIU 2020” – Special Session [Embedded Algorithm Development in Defense Industry] with Dr. Çifdalöz – 20 April 2020
    • Academic Consultant to : “Real-time Embedded Image Processing Algorithms for Infrared Seeker Heads”.
      with ASELSAN Inc. 2019-2021
    • Academic Consultant to : TUBITAK 1507 “Çağrı Merkezi Telefon Görüşmeleri Kayıtlarının Makine Öğrenmesi Yoluyla Sınıflandırılması ve Sahte Görüşmelerin Otomatik Tespiti” (Classification of Call Center Telephone Negotiations Through Machine Learning and Automatic Fraud Detection) with AdresGezgini Inc. 2018-2019
    • Academic Consultant to : TUBITAK 1507 “Kişiye Özel Baskı Ürünlerinde Kesim Sonrası Ürünlerin Görüntü İşleme Yöntemi İle Müşteri-Bilgi Eşleştirme, Faturalandırma ve Barkodlanması (Customer-Information Matching, Invoicing and Barcoding of Post-Cut Products in Custom Printed Products using Image Processing Methods)” with bidolubaski.com 2017-2018