1 code implementation • 21 Mar 2024 • Ahmet Alp Kindiroglu, Ozgur Kara, Ogulcan Ozdemir, Lale Akarun
Sign language recognition (SLR) has recently achieved a breakthrough in performance thanks to deep neural networks trained on large annotated sign datasets.
no code implementations • 13 Feb 2024 • Ufuk Can Bicici, Tuna Han Salih Meral, Lale Akarun
Conditional computing processes an input using only part of the neural network's computational units.
no code implementations • 17 Nov 2021 • Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R Freire, Joaquin Gonzalez-Rodriguez, Carmen Garcia-Mateo, Jose-Luis Alba-Castro, Elisardo Gonzalez-Agulla, Enrique Otero-Muras, Sonia Garcia-Salicetti, Lorene Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming NR Ng, Michael Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrezj Drygajlo, Harald Ganster, Federico M Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran
It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware.
no code implementations • 29 Sep 2020 • Çağrı Gökçe, Oğulcan Özdemir, Ahmet Alp Kındıroğlu, Lale Akarun
Therefore, Sign Language Recognition (SLR) needs to focus on all such cues.
no code implementations • 2 Apr 2020 • Ahmet Alp Kındıroğlu, Oğulcan Özdemir, Lale Akarun
In this paper, we propose a set of features called temporal accumulative features (TAF) for representing and recognizing isolated sign language gestures.
no code implementations • LREC 2020 • Oğulcan Özdemir, Ahmet Alp Kındıroğlu, Necati Cihan Camgöz, Lale Akarun
Sign Language Recognition is a challenging research domain.
no code implementations • 2 Feb 2020 • Alptekin Orbay, Lale Akarun
Sign Language Translation has attained considerable success recently, raising hopes for improved communication with the Deaf.
no code implementations • 25 Jul 2018 • Ufuk Can Biçici, Cem Keskin, Lale Akarun
These decision mechanisms are trained using cost functions based on differentiable Information Gain, inspired by the training procedures of decision trees.
no code implementations • LREC 2016 • Necati Cihan Camg{\"o}z, Ahmet Alp K{\i}nd{\i}ro{\u{g}}lu, Serpil Karab{\"u}kl{\"u}, Meltem Kelepir, Ay{\c{s}}e Sumru {\"O}zsoy, Lale Akarun
However, corpora collected for studying linguistic properties are often not suitable for sign language recognition as the statistical methods used in the field require large amounts of data.