World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6866
World Ranking
10159
National Ranking
15

Overview

Lale Akarun is affiliated with Boğaziçi University in Turkey and has a research profile focused primarily on computer science. Their work spans several subfields, including computer vision and pattern recognition, human-computer interaction, artificial intelligence, developmental and educational psychology, and biomedical engineering.

Their research topics include:

  • Hand Gesture Recognition Systems
  • Human Pose and Action Recognition
  • Hearing Impairment and Communication
  • Gait Recognition and Analysis
  • 3D Shape Modeling and Analysis
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning

Lale Akarun has published extensively, with 31 papers in computer science. Some of the notable recent publications include:

  • "BosphorusSign22k Sign Language Recognition Dataset," 2020, arXiv (Cornell University)
  • "Multi-cue temporal modeling for skeleton-based sign language recognition," 2023, Frontiers in Neuroscience
  • "Aligning accumulative representations for sign language recognition," 2022, Machine Vision and Applications
  • "Conditional information gain networks as sparse mixture of experts," 2021, Pattern Recognition
  • "A Survey of 3D Object Reconstruction Methods," 2022, 2022 30th Signal Processing and Communications Applications Conference (SIU)

Their frequent publication venues illustrate a concentration in specific conferences and journals, such as:

  • 2022 30th Signal Processing and Communications Applications Conference (SIU)
  • arXiv (Cornell University)
  • Nature Human Behaviour
  • IEEE Access
  • Signal Image and Video Processing

Collaboration is an important aspect of their research activity. Frequent co-authors include:

  • Oğulcan Özdemir
  • Ahmet Alp Kındıroğlu
  • Berk Gökberk
  • Ufuk Can Biçici
  • İnci M. Baytaş

Lale Akarun's work often intersects with the challenges of sign language recognition, as reflected in several of their recent publications, and covers advanced methods in neural network applications and 3D modeling techniques.

Best Publications

  • Bosphorus Database for 3D Face Analysis

    Arman Savran;Neşe Alyüz;Hamdi Dibeklioğlu;Oya Çeliktutan

  • Real time hand pose estimation using depth sensors

    Cem Keskin;Furkan Kirac;Yunus Emre Kara;Lale Akarun

  • Hand pose estimation and hand shape classification using multi-layered randomized decision forests

    Cem Keskin;Furkan K;ra;Yunus Emre Kara

  • The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

    Javier Ortega-Garcia;Julian Fierrez;Fernando Alonso-Fernandez;Javier Galbally

  • A selective attention-based method for visual pattern recognition with application to handwritten digit recognition and face recognition

    A.A. Salah;E. Alpaydin;L. Akarun

  • A fuzzy algorithm for color quantization of images

    Doğan Özdemir;Lale Akarun

  • Surveillance Wireless Sensor Networks: Deployment Quality Analysis

    E. Onur;C. Ersoy;H. Delic;L. Akarun

  • 3D shape-based face recognition using automatically registered facial surfaces

    M.O. Irfanoglu;B. Gokberk;L. Akarun

  • 3D shape-based face representation and feature extraction for face recognition

    Berk Gökberk;M. Okan İrfanoğlu;Lale Akarun

  • Emotion Detection in the Loop from Brain Signals and Facial Images

    Arman Savran;Koray Ciftci;Guillaume Chanel;Javier Mota

  • A 3D Face Recognition System for Expression and Occlusion Invariance

    N. Alyuz;B. Gokberk;L. Akarun

  • Regional Registration for Expression Resistant 3-D Face Recognition

    Neşe Alyuz;Berk Gökberk;Lale Akarun

  • Representation Plurality and Fusion for 3-D Face Recognition

    B. Gokberk;H. Dutagaci;A. Ulas;L. Akarun

  • Rank-based decision fusion for 3D shape-based face recognition

    B. Gokberk;A.A. Salah;L. Akarun

  • Hand vein biometry based on geometry and appearance methods

    A. Yuksel;L. Akarun;B. Sankur

  • 3D Facial Landmarking under Expression, Pose, and Occlusion Variations

    H. Dibeklioglu;A.A. Salah;L. Akarun

  • SignTutor: An Interactive System for Sign Language Tutoring

    O. Aran;I. Ari;L. Akarun;B. Sankur

  • Adaptive methods for dithering color images

    L. Akarun;Y. Yardunci;A.E. Cetin

  • 3-D Face Recognition Under Occlusion Using Masked Projection

    N. Alyuz;B. Gokberk;L. Akarun

  • Neural Sign Language Translation by Learning Tokenization

    Alptekin Orbay;Lale Akarun

  • A Selective Attention Based Method for Visual Pattern Recognition

    Albert Ali Salah;Ethem Aplaydin;Lale Akarun

Frequent Co-Authors

Albert Ali Salah
Albert Ali Salah Utrecht University
Bulent Sankur
Bulent Sankur Boğaziçi University
Cem Ersoy
Cem Ersoy Boğaziçi University
Murat Saraclar
Murat Saraclar Boğaziçi University
Hazim Kemal Ekenel
Hazim Kemal Ekenel Istanbul Technical University
Massimo Tistarelli
Massimo Tistarelli University of Sassari
Raymond N.J. Veldhuis
Raymond N.J. Veldhuis University of Twente
Bernadette Dorizzi
Bernadette Dorizzi Télécom SudParis
Tolga Tasdizen
Tolga Tasdizen University of Utah
Josef Kittler
Josef Kittler University of Surrey

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to many related online degrees and flexible career pathways. For those who want to build strong technical foundations, consider reviewing the electrical engineering degree online admissions processes. These programs provide hands-on knowledge in both hardware and software, essential for advanced tech roles.

If you’re looking for a faster way to boost your qualifications, check out certificate programs that pay well. Many of these are in-demand tech certifications that can be earned quickly and offer immediate job prospects.

For those interested in graduate-level education without lengthy time commitments, quick masters degrees online can help accelerate career growth. These fast-tracked programs are ideal for busy professionals seeking advancement.

Finally, if you want to maximize your earning potential and career stability, look for the most in demand masters degrees. These programs are tailored to current market needs and can enhance job security in a rapidly changing tech landscape.

Best Scientists Citing Lale Akarun

Trending Scientists

Recently Published Articles