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Spatial-temporal multi-cue network for continuous sign language recognition
Despite the recent success of deep learning in continuous sign language recognition (CSLR), deep models typically focus on the most …
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Iterative alignment network for continuous sign language recognition
In this paper, we propose an alignment network with iterative optimization for weakly supervised continuous sign language recognition. …
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Hierarchical LSTM for sign language translation
Continuous Sign Language Translation (SLT) is a challenging task due to its specific linguistics under sequential gesture variation …
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Video-based sign language recognition without temporal segmentation
Millions of hearing impaired people around the world routinely use some variants of sign languages to communicate, thus the automatic …
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Connectionist Temporal Fusion for Sign Language Translation
Continuous sign language translation (CSLT) is a weakly supervised problem aiming at translating vision-based videos into natural …
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Dilated convolutional network with iterative optimization for continuous sign language recognition
This paper presents a novel deep neural architecture with iterative optimization strategy for realworld continuous sign language …
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Sign Language Recognition with Multi-modal Features
We study the problem of recognizing sign language automatically using the RGB videos and skeleton coordinates captured by Kinect, which …
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Sign language recognition based on adaptive HMMs with data augmentation
Vision based sign language recognition (SLR) is a challenging task due to the complexity of signs and limited data collection. To …
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Sign language recognition with long short-term memory
Sign Language Recognition (SLR) aims at translating the Sign Language (SL) into speech or text, so as to facilitate the communication …
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Chinese sign language recognition with adaptive HMM
Sign Language Recognition (SLR) aims at translating the sign language into text or speech, so as to realize the communication between …
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