Assoc. Prof. EMRE AKBAŞ


Faculty of Engineering, Department of Computer Engineering


WoS Research Areas: Computer Science, Computer Science Artificial Intelligence, Engineering Computing & Technology (Eng)


Scopus Research Areas: General Computer Science, Artificial Intelligence


Avesis Research Areas: Computer Sciences, Computer Vision, Computer Vision, Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning, Pattern Recognition and Image Processing, Neural Networks, Engineering and Technology

Education

2006 - 2011

2006 - 2011

Doctorate

University of Illinois at Urbana-Champaign, College Of Engineering, Department Of Electrical And Computer Engineering, United States Of America

2004 - 2006

2004 - 2006

Postgraduate

Middle East Technical University, Faculty of Engineering, Department of Computer Engineering, Turkey

1999 - 2004

1999 - 2004

Undergraduate

Middle East Technical University, Faculty of Engineering, Department of Computer Engineering, Turkey

Dissertations

2011

2011

Doctorate

Generation and analysis of segmentation trees for natural images

University Of Illinois At Urbana-Champaign, Department Of Electrical And Computer Engineering

2006

2006

Postgraduate

Automatic image annotation by ensemle of visual descriptors

Orta Doğu Teknik Üniversitesi, Faculty of Engineering, Department of Computer Engineering

Research Areas

Computer Sciences

Computer Vision

Computer Vision

Artificial Intelligence, Computer Learning and Pattern Recognition

Computer Learning

Pattern Recognition and Image Processing

Neural Networks

Engineering and Technology

Research Areas Based on Academic Activities

Avesis Research Areas

    WoS Research Areas

      Scopus Research Areas

        Academic Positions

        2018 - Continues

        2018 - Continues

        Assistant Professor

        Middle East Technical University, Faculty of Engineering, Department of Computer Engineering

        2015 - 2018

        2015 - 2018

        Assistant Professor

        Middle East Technical University, Faculty of Engineering, Department of Computer Engineering

        2012 - 2015

        2012 - 2015

        Researcher

        University of California, Santa Barbara, -, Department Of Psychological And Brain Sciences

        2006 - 2011

        2006 - 2011

        Research Assistant

        University of Illinois at Urbana-Champaign, Mühendislik, Department Of Electrical And Computer Engineering

        2005 - 2006

        2005 - 2006

        Research Assistant

        Middle East Technical University, Faculty of Engineering, Department of Computer Engineering

        Managerial Experience

        2018 - 2024

        2018 - 2024

        Deputy Head of Department

        Middle East Technical University, Faculty Of Engineering, Department Of Computer Engineering

        Courses

        Doctorate

        Doctorate

        Deep Learning

        Postgraduate

        Postgraduate

        Deep Learning

        Deep Learning

        Undergraduate

        Undergraduate

        Signals and Systems for Computer Engineers

        Logic Design

        Computer Engineering Design II

        Computer Engineering Design I

        Supervised Theses

        2024

        2024

        Postgraduate

        On calibrating deep object detectors

        Akbaş E. (Co-Advisor), Kalkan S.

        M.ERTUĞRUL(Student)

        2024

        2024

        Postgraduate

        Using a ranking-based loss for long-tailed visual recognition

        Akbaş E. (Co-Advisor), Kalkan S.

        B.GÜLMEZ(Student)

        2023

        2023

        Postgraduate

        An extensive analysis on oriented object detection

        Kalkan S., Akbaş E. (Co-Advisor)

        İ.KOÇ(Student)

        2022

        2022

        Postgraduate

        Character generation through self supervised vectorization

        Akbaş E. (Advisor)

        G.GÖKÇEOĞLU(Student)

        2022

        2022

        Postgraduate

        Streaming multiscale deep equilibrium models

        Cinbiş R. G., AKBAŞ E. (Co-Advisor)

        C.UFUK(Student)

        2019

        2019

        Postgraduate

        Human activity prediction using lifelogging data

        Akbaş E., Yazıcı A. (Co-Advisor)

        G.SARIARSLAN(Student)

        2019

        2019

        Postgraduate

        Does estimated depth help object detection?

        Kalkan S. (Co-Advisor), Akbaş E.

        B.ÇETİNKAYA(Student) Creative Commons License

        Taught Courses and Trainings

        2022 - 2022

        2022 - 2022

        Performance Measures in Visual Detection and Their Optimization

        Academic Units - Course

        Akbaş E., Kalkan S.

        Research Infrastructure Information

        January 2021

        January 2021

        CENTER FOR ROBOTICS AND ARTIFICIAL INTELLIGENCESustainable Development

        Implementation and Research Center - Directorate

        Şahin E., Koku A. B., Ankaralı M. M., Akbaş E., Cinbiş R. G., Kalkan S., et al.

        Articles

        All (22)
        SCI-E, SSCI, AHCI (20)
        SCI-E, SSCI, AHCI, ESCI (20)
        Scopus (20)
        TRDizin (2)

        Papers Presented at Peer-Reviewed Scientific Conferences

        2025

        2025

        1. Data Imbalance in Large-Scale Face Recognition B y k l ekli Y z Tanimada Veri Dengesizligi

        Erturkmen A., Akkaya K., Boncu E. S., Ozden H., Akbas E., ALATAN A. A.

        33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025, İstanbul, Turkey, 25 - 28 June 2025, (Full Text) identifier

        2024

        2024

        2. A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts

        Gokceoglu G., Cavusoglu D., Akbaş E., Dolcerocca O. N.

        Findings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024, Hybrid, Bangkok, Thailand, 11 - 16 August 2024, pp.6585-6596, (Full Text) identifier

        2024

        2024

        3. RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses

        Çetinkaya B., Kalkan S., Akbaş E.

        IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Washington, United States Of America, 16 - 22 June 2024, pp.3239-3249, (Full Text) Sustainable Development identifier identifier

        2024

        2024

        4. MoCap-to-Visual Domain Adaptation for Efficient Human Mesh Estimation from 2D Keypoints

        Uguz B., Suat O., Karagoz B., Akbaş E.

        2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024, Washington, United States Of America, 16 - 22 June 2024, pp.1622-1632, (Full Text) identifier

        2023

        2023

        5. Correlation Loss: Enforcing Correlation between Classification and Localization

        Kahraman F., ÖKSÜZ K., KALKAN S., AKBAŞ E.

        Thirty-Seventh AAAI Conference on Artificial Intelligence, United States Of America, 7 - 14 February 2023, (Full Text) identifier

        2022

        2022

        6. Streaming Multiscale Deep Equilibrium Models

        ERTENLİ C. U., AKBAŞ E., CİNBİŞ R. G.

        17th European Conference on Computer Vision, ECCV 2022, Tel-Aviv-Yafo, Israel, 23 - 27 October 2022, vol.13671 LNCS, pp.189-205, (Full Text) Creative Commons License identifier identifier

        2021

        2021

        7. Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation

        ÖKSÜZ K., ÇAM B. C., Kahraman F., Baltacı Z. S., KALKAN S., AKBAŞ E.

        The 32nd British Machine Vision Conference, United Kingdom, 22 November 2021, (Full Text)

        2021

        2021

        8. Rank & Sort Loss for Object Detection and Instance Segmentation

        ÖKSÜZ K., ÇAM B. C., AKBAŞ E., KALKAN S.

        IEEE/CVF International Conference on Computer Vision (ICCV), United States Of America, 11 October 2021, pp.3009-3018, (Full Text)

        2021

        2021

        9. ADVERSARIAL SEGMENTATION LOSS FOR SKETCH COLORIZATION

        Hicsonmez S., Samet N., AKBAŞ E., DUYGULU ŞAHİN P.

        2021 IEEE International Conference on Image Processing, ICIP 2021, Alaska, United States Of America, 19 - 22 September 2021, vol.2021-September, pp.2403-2407, (Full Text) Creative Commons License identifier identifier

        2021

        2021

        10. Rank & Sort Loss for Object Detection and Instance Segmentation

        Oksuz K., Cam B. C., AKBAŞ E., KALKAN S.

        18th IEEE/CVF International Conference on Computer Vision (ICCV), ELECTR NETWORK, 11 - 17 October 2021, pp.2989-2998, (Full Text) identifier identifier

        2020

        2020

        11. Reducing Label Noise in Anchor-Free Object Detection

        SAMET N., Hiçsönmez S., AKBAŞ E.

        British Machine Vision Conference, Çevrimiçi, England, 7 - 10 September 2020, (Full Text)

        2020

        2020

        12. Generating positive bounding boxes for balanced training of object detectors

        Oksuz K., Cam B. C., Akbaş E., Kalkan S.

        2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, Colorado, United States Of America, 1 - 05 March 2020, pp.883-892, (Full Text) identifier identifier

        2020

        2020

        13. Reducing Label Noise in Anchor-Free Object Detection

        Samet N., Hicsonmez S., AKBAŞ E.

        31st British Machine Vision Conference, BMVC 2020, Virtual, Online, 7 - 10 September 2020, (Full Text) identifier

        2020

        2020

        14. A ranking-based, balanced loss function unifying classification and localisation in object detection

        Oksuz K., Cam B. C., AKBAŞ E., KALKAN S.

        34th Conference on Neural Information Processing Systems, NeurIPS 2020, Virtual, Online, 6 - 12 December 2020, vol.2020-December, (Full Text) identifier

        2020

        2020

        15. HoughNet: Integrating Near and Long-Range Evidence for Bottom-Up Object Detection

        Samet N., Hicsonmez S., Akbaş E.

        16th European Conference on Computer Vision, ECCV 2020, Glasgow, United Kingdom, 23 - 28 August 2020, vol.12370 LNCS, pp.406-423, (Full Text) Creative Commons License identifier

        2019

        2019

        16. Activity Learning from Lifelogging Images

        Belli K., AKBAŞ E., Yazici A.

        18th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, 16 June 2019 - 20 June 2109, vol.11509, pp.327-337, (Full Text) identifier identifier

        2019

        2019

        17. MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images

        Cugu I., Sener E., AKBAŞ E.

        9th International Conference on Image Processing Theory, Tools and Applications (IPTA), İstanbul, Turkey, 6 - 09 November 2019, (Full Text) Creative Commons License identifier identifier

        2019

        2019

        18. Self-Supervised Learning of 3D Human Pose using Multi-view Geometry

        Kocabas M., Karagoz S., AKBAŞ E.

        IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), California, United States Of America, 16 - 20 June 2019, pp.1077-1086, (Full Text) identifier identifier

        2019

        2019

        19. Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks

        Akan A. K., Kivilcim B. B., AKBAŞ E., Newman S. D., YARMAN VURAL F. T.

        27th Signal Processing and Communications Applications Conference (SIU), Sivas, Turkey, 24 - 26 April 2019, (Full Text) identifier identifier

        2018

        2018

        20. Localization recall precision (LRP): A new performance metric for object detection

        Öksüz K., Çam B. C., Akbaş E., Kalkan S.

        15th European Conference on Computer Vision, ECCV 2018, Munich, Germany, 8 - 14 September 2018, pp.521-537, (Full Text) Creative Commons License identifier identifier

        2018

        2018

        21. MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network

        KOCABAŞ M., KARAGÖZ S., AKBAŞ E.

        15th European Conference on Computer Vision, ECCV 2018, Munich, Germany, 8 - 14 September 2018, pp.437-453, (Full Text) Creative Commons License identifier identifier

        2018

        2018

        22. Who draw this? Caricaturist recognition using convolutional neural networks Bunu kim çizdi? Evrişimsel sinir aǧlari ile karikatürist tanima

        Hicsonmez S., SAMET N., AKBAŞ E., Duygulu P.

        26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Turkey, 2 - 05 May 2018, pp.1-4, (Full Text) identifier

        2017

        2017

        24. Could We Create A Training Set For Image Captioning Using Automatic Translation?

        SAMET N., Hicsonmez S., Duygulu P., AKBAŞ E.

        25th Signal Processing and Communications Applications Conference (SIU), Antalya, Turkey, 15 - 18 May 2017, (Full Text) identifier identifier

        2016

        2016

        25. Decoding Cognitive States Using the Bag of Words Model on fMRI Time Series

        Sucu G., AKBAŞ E., Oztekin I., Mizrak E., Vural F. Y.

        24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.2245-2248, (Full Text) identifier identifier

        2014

        2014

        26. A Framework for Machine Vision based on Neuro-Mimetic Front End Processing and Clustering

        Akbas E., WADHWA A., ECKSTEIN M., MADHOW U.

        52nd Annual Allerton Conference on Communication, Control, and Computing Allerton, Illinois, United States Of America, 1 - 03 October 2014, pp.311-318, (Full Text) identifier identifier

        2010

        2010

        27. Pedestrian recognition with a learned metric

        Dikmen M., AKBAŞ E., Huang T. S., Ahuja N.

        10th Asian Conference on Computer Vision, ACCV 2010, Queenstown, New Zealand, 8 - 12 November 2010, vol.6495 LNCS, pp.501-512, (Full Text) identifier

        2009

        2009

        28. From ramp discontinuities to segmentation tree

        AKBAŞ E., Ahuja N.

        9th Asian Conference on Computer Vision, ACCV 2009, Xian, China, 23 - 27 September 2009, vol.5994 LNCS, pp.123-134, (Full Text) identifier

        2010

        2010

        29. Low-level image segmentation based scene classification

        Akbas E., Ahuja N.

        2010 20th International Conference on Pattern Recognition, ICPR 2010, İstanbul, Turkey, 23 - 26 August 2010, pp.3623-3626, (Full Text) identifier

        2007

        2007

        30. Automatic image annotation by ensemble of visual descriptors

        Akbas E., VURAL F. T. Y.

        IEEE Conference on Computer Vision and Pattern Recognition, Minnesota, United States Of America, 17 - 22 June 2007, pp.3620-3621, (Full Text) identifier identifier

        2006

        2006

        31. Design of a feature set for face recognition problem

        Akbas E., YARMAN-VURAL F. T.

        21st International Symposium on Computer and Information Sciences (ISCIS 2006), İstanbul, Turkey, 1 - 03 November 2006, vol.4263, pp.239-241, (Full Text) identifier identifier

        2006

        2006

        32. A hierarchical classification system based on adaptive resonance theory

        UYSAL M., Akbas E., YARMAN-VURAL F. T.

        IEEE International Conference on Image Processing (ICIP 2006), Georgia, United States Of America, 8 - 11 October 2006, pp.2913-2914, (Full Text) identifier identifier

        2006

        2006

        33. A comparison of features spaces for face recognition problem

        OZYER G. T., Akbas E., VURAL F. Y.

        IEEE 14th Signal Processing and Communications Applications, Antalya, Turkey, 16 - 19 April 2006, pp.750-751, (Full Text) identifier identifier

        2005

        2005

        34. A comparison of fuzzy ARTMAP and AdaBoost methods in image retrieval problems Görüntü erişiminde bulanik ARTMAP ve AdaBoost yöntemlerinin karşilaştirmasi

        AKBAŞ E., ÖZCANLI Ö. C., VURAL F. Y.

        IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, Kayseri, Turkey, 16 - 18 May 2005, vol.2005, pp.691-694, (Full Text) identifier

        Funded Projects

        2024 - Present

        2024 - Present

        USTA: İnsan-Robot etkileşiminde yapay zeka destekli gerçek zamanlı doğal iletişim

        Project Supported by Higher Education Institutions , BAP Research Project

        ŞAHİN E. (Executive), CİNBİŞ R. G., KALKAN S., SÜRER E., ÇAKIR M. P., AKBAŞ E.

        2024 - Present

        2024 - Present

        Görsel Tanımada İleri Yapay Zeka Teknikleri

        Project Supported by Higher Education Institutions , BAP Other

        KALKAN S. (Executive), AKBAŞ E., CİNBİŞ R. G.

        2021 - 2026

        2021 - 2026

        Modernizing Empires: Enlightenment, Nationalist Vanguards and Non-Western Literary Modernities (NONWESTLIST)

        H2020 Project , ERC H2020 European Research Council Project

        Akbaş E. (Executive), Gökçeoğlu G.

        2023 - 2024

        2023 - 2024

        Yüz Tanıma Projesi

        Technopark

        Alatan A. A. (Executive), Akbaş E.

        2021 - 2023

        2021 - 2023

        Görsel Tanıma Problemlerinde Sınıf Dengesizliğini Ölçerek Ve Belirsizlik Kullanarak İyileştirme (Denge)

        TUBITAK Project , 1001 - Program for Supporting Scientific and Technological Research Projects

        KALKAN S. (Executive), AKBAŞ E.

        2018 - 2022

        2018 - 2022

        Derin Sinir Ağı Tabanlı Nesne Algılama Yöntemlerine Bağlam Modeli Entegre Edilmesi

        Project Supported by Higher Education Institutions , BAP Other

        AKBAŞ E. (Executive), DULGER O.

        2018 - 2021

        2018 - 2021

        Derin Sinir Ağları Ile Videolarda Nesne AlgılamaSustainable Development

        TUBITAK Project , 3501 - National Young Researcher Career Development Program

        (Project Abstract)
        AKBAŞ E. (Executive)

        2018 - 2018

        2018 - 2018

        İNSANSIZ HAVA ARAÇLARINDA TEK VE ÇİFT KAMERA İLE İNİŞ NOKTASINA BAĞIL KONUM KESTİRİMİ

        Project Supported by Other Private Institutions

        KALKAN S. (Executive), AKBAŞ E.

        2016 - 2017

        2016 - 2017

        Fovealı Görme Gistemi ile Nesne Algılama

        TUBITAK Project , 2232 - Dormitory Research Scholarship Program

        AKBAŞ E. (Executive)

        Patent

        2024

        2024

        System for estimating a pose of one or more persons in a scene (US 12094159-B1)

        Patent

        Registered / Approved, The Invention Registration Number: 12094159 , Standard Registration

        2023

        2023

        System for estimating a three dimensional pose of one or more persons in a scene (US11688139B1)

        Patent

        Registered / Approved, The Invention Registration Number: 11688139 , Standard Registration

        2023

        2023

        System for training neural networks that predict the parameters of a human mesh model using dense depth and part-based UV map annotations

        Patent

        Registered / Approved, The Invention Registration Number: US11798182B1 , Standard Registration

        2023

        2023

        System for estimating a pose of one or more persons in a scene (US11631193B1)

        Patent

        Registered / Approved, The Invention Registration Number: 11631193 , Standard Registration

        2022

        2022

        System for estimating a three dimensional pose of one or more persons in a scene (US11521373B1)

        Patent

        Registered / Approved, The Invention Registration Number: US11521373B1 , Standard Registration

        2022

        2022

        System for estimating a pose of one or more persons in a scene (US 11321868)

        Patent

        Registered / Approved, The Invention Registration Number: US 11,321,868 B1 , Standard Registration

        2022

        2022

        System for estimating a three dimensional pose of one or more persons in a scene (US 11348279)

        Patent

        Registered / Approved, The Invention Registration Number: 11348279 , Standard Registration

        2021

        2021

        SYSTEM FOR ESTIMATING A THREE DIMENSIONAL POSE OF ONE OR MORE PERSONS IN A SCENE (US 11182924)

        Patent

        Registered / Approved, The Invention Registration Number: US 11,182,924 B1 , Standard Registration

        2021

        2021

        System for estimating a pose of one or more persons in a scene

        Patent

        Registered / Approved, The Invention Registration Number: US 11,074,711 B1 , Standard Registration

        2020

        2020

        System for estimating a three dimensional pose of one or more persons in a scene

        Patent

        Registered / Approved, The Invention Registration Number: US 10,853,970 B1 , Standard Registration

        Activities in Scientific Journals

        2022 - 2025

        2022 - 2025

        Turkish Journal of Electrical Engineering and Computer Sciences

        Committee Member

        Peer Reviews in Scientific Publications

        June 2021

        June 2021

        COGNITIVE SYSTEMS RESEARCH

        Journal Indexed in SCI-E

        April 2021

        April 2021

        TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES

        Journal Indexed in SCI-E

        January 2019

        January 2019

        IEEE Conference on Computer Vision and Pattern Recognition 2019

        Other journals

        December 2018

        December 2018

        TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES

        SCI Journal

        May 2018

        May 2018

        European Conference on Computer Vision 2018

        Other journals

        April 2018

        April 2018

        TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES

        SCI Journal

        January 2018

        January 2018

        IEEE Conference on Computer Vision and Pattern Recognition 2018

        Other journals

        Roles in Event Organizations

        November 2022

        November 2022

        Nesne Tespiti Probleminde Güncel İlerlemeler

        Workshop Organization

        Kalkan S., Akbaş E., Cinbiş R. G.
        Turkey

        August 2020

        August 2020

        Imbalance Problems in Computer Vision

        Workshop Organization

        Akbaş E., Kalkan S.
        United Kingdom

        Awards

        October 2023

        October 2023

        ODTÜ Yılın Tezi Ödülü

        Orta Doğu Teknik Üniversitesi, Fen Bilimleri Enstitüsü

        June 2022

        June 2022

        ODTÜ Yılın Tezi Ödülü

        Orta Doğu Teknik Üniversitesi, Fen Bilimleri Enstitüsü

        December 2020

        December 2020

        ODTÜ Parlar Vakfı Araştırma Teşvik Ödülü

        Odtü Parlar Vakfı

        March 2018

        March 2018

        H2020 MSCA IF Eşik Üstü Ödülü

        TÜBİTAK

        May 2010

        May 2010

        COGS/AI Award

        The Beckman Institute For Advanced Science And Technology

        August 2006

        August 2006

        Yılın en iyi tezi ödülü

        Fen Bilimleri Enstitusu, Orta Dogu Teknik Universitesi

        

        Invited Talks

        December 2022

        December 2022

        Imbalance in object detection and ranking-based loss functions to the rescue

        Seminar

        Workshop in Asian Conference on Computer Vision (ACCV 2022)-China

        August 2020

        August 2020

        Unified Evaluation and Training of Object Detectors using Localization-Recall-Precision (LRP)

        Workshop

        ECCV2020 Workshop on "Beyond mAP" -United Kingdom

        Scholarships

        2024 - 2025

        2024 - 2025

        2219

        TUBITAK

        2016 - 2018

        2016 - 2018

        TÜBİTAK 2232 Yurda Dönüş

        TUBITAK

        Citations

        Total Citations (WOS): 1183

        h-index (WOS): 14