34 citations · 47 across the 6 of their papers we have counts for
9 papers
Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced Datasets
Ahmet Alp Kindiroglu, Ozgur Kara, Ogulcan Ozdemir +1
Sign language recognition (SLR) has recently achieved a breakthrough in performance thanks to deep neural networks trained on large annotated sign datasets. Of the many different s…
Conditional Information Gain Trellis
Ufuk Can Bicici, Tuna Han Salih Meral, Lale Akarun
Conditional computing processes an input using only part of the neural network's computational units. Learning to execute parts of a deep convolutional network by routing individua…
Score-level Multi Cue Fusion for Sign Language Recognition
Çağrı Gökçe, Oğulcan Özdemir, Ahmet Alp Kındıroğlu +1
Sign Languages are expressed through hand and upper body gestures as well as facial expressions. Therefore, Sign Language Recognition (SLR) needs to focus on all such cues. Previou…
BosphorusSign22k Sign Language Recognition Dataset
Oğulcan Özdemir, Ahmet Alp Kındıroğlu, Necati Cihan Camgöz +1
Sign Language Recognition is a challenging research domain. It has recently seen several advancements with the increased availability of data. In this paper, we introduce the Bosph…
Temporal Accumulative Features for Sign Language Recognition
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. By incorporating sign lang…
Neural Sign Language Translation by Learning Tokenization
Alptekin Orbay, Lale Akarun
Sign Language Translation has attained considerable success recently, raising hopes for improved communication with the Deaf. A pre-processing step called tokenization improves the…