Sorry, you need to enable JavaScript to visit this website.

Image and Video Analysis and Understanding

Key Action And Joint CTC-Attention Based Sign Language Recognition


Sign Language Recognition (SLR) translates sign language video into natural language. In practice, sign language video, owning a large number of redundant frames, is necessary to be selected the essential. However, unlike common video that describes actions, sign language video is characterized as continuous and dense action sequence, which is difficult to capture key actions corresponding to meaningful sentence. In this paper, we propose to hierarchically search key actions by a pyramid BiLSTM.

Paper Details

Authors:
Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng
Submitted On:
16 April 2020 - 11:39am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster_video5717.pdf

(67)

Subscribe

[1] Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng, "Key Action And Joint CTC-Attention Based Sign Language Recognition", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5100. Accessed: Dec. 02, 2020.
@article{5100-20,
url = {http://sigport.org/5100},
author = {Haibo Li; Liqing Gao; Ruize Han; Liang Wan; Wei Feng },
publisher = {IEEE SigPort},
title = {Key Action And Joint CTC-Attention Based Sign Language Recognition},
year = {2020} }
TY - EJOUR
T1 - Key Action And Joint CTC-Attention Based Sign Language Recognition
AU - Haibo Li; Liqing Gao; Ruize Han; Liang Wan; Wei Feng
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5100
ER -
Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng. (2020). Key Action And Joint CTC-Attention Based Sign Language Recognition. IEEE SigPort. http://sigport.org/5100
Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng, 2020. Key Action And Joint CTC-Attention Based Sign Language Recognition. Available at: http://sigport.org/5100.
Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng. (2020). "Key Action And Joint CTC-Attention Based Sign Language Recognition." Web.
1. Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng. Key Action And Joint CTC-Attention Based Sign Language Recognition [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5100

Key Action And Joint CTC-Attention Based Sign Language Recognition


Sign Language Recognition (SLR) translates sign language video into natural language. In practice, sign language video, owning a large number of redundant frames, is necessary to be selected the essential. However, unlike common video that describes actions, sign language video is characterized as continuous and dense action sequence, which is difficult to capture key actions corresponding to meaningful sentence. In this paper, we propose to hierarchically search key actions by a pyramid BiLSTM.

Paper Details

Authors:
Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng
Submitted On:
16 April 2020 - 11:38am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster_video5717.pdf

(90)

Subscribe

[1] Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng, "Key Action And Joint CTC-Attention Based Sign Language Recognition", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5099. Accessed: Dec. 02, 2020.
@article{5099-20,
url = {http://sigport.org/5099},
author = {Haibo Li; Liqing Gao; Ruize Han; Liang Wan; Wei Feng },
publisher = {IEEE SigPort},
title = {Key Action And Joint CTC-Attention Based Sign Language Recognition},
year = {2020} }
TY - EJOUR
T1 - Key Action And Joint CTC-Attention Based Sign Language Recognition
AU - Haibo Li; Liqing Gao; Ruize Han; Liang Wan; Wei Feng
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5099
ER -
Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng. (2020). Key Action And Joint CTC-Attention Based Sign Language Recognition. IEEE SigPort. http://sigport.org/5099
Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng, 2020. Key Action And Joint CTC-Attention Based Sign Language Recognition. Available at: http://sigport.org/5099.
Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng. (2020). "Key Action And Joint CTC-Attention Based Sign Language Recognition." Web.
1. Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng. Key Action And Joint CTC-Attention Based Sign Language Recognition [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5099

Increasingly specialized ensemble of Convolutional Neural Networks for Fine-grained recognition


Fine-grained recognition focuses on the challenging task of automatically identifying the subtle differences between similar categories. Current state-of-the-art approaches require elaborated feature learning procedures, involving tuning several hyper-parameters, or rely on expensive human annotations such as objects or parts location. In this paper we propose a simple method for fine-grained recognition that exploits a nearly cost-free attention-based focus operation to construct an ensemble of increasingly specialized Convolutional Neural Networks.

Paper Details

Authors:
Andrea Simonelli, Stefano Messelodi, Francesco De Natale, Samuel Rota Bulo'
Submitted On:
8 October 2018 - 9:25am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

simonelli.pdf

(174)

Keywords

Additional Categories

Subscribe

[1] Andrea Simonelli, Stefano Messelodi, Francesco De Natale, Samuel Rota Bulo', "Increasingly specialized ensemble of Convolutional Neural Networks for Fine-grained recognition", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3632. Accessed: Dec. 02, 2020.
@article{3632-18,
url = {http://sigport.org/3632},
author = {Andrea Simonelli; Stefano Messelodi; Francesco De Natale; Samuel Rota Bulo' },
publisher = {IEEE SigPort},
title = {Increasingly specialized ensemble of Convolutional Neural Networks for Fine-grained recognition},
year = {2018} }
TY - EJOUR
T1 - Increasingly specialized ensemble of Convolutional Neural Networks for Fine-grained recognition
AU - Andrea Simonelli; Stefano Messelodi; Francesco De Natale; Samuel Rota Bulo'
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3632
ER -
Andrea Simonelli, Stefano Messelodi, Francesco De Natale, Samuel Rota Bulo'. (2018). Increasingly specialized ensemble of Convolutional Neural Networks for Fine-grained recognition. IEEE SigPort. http://sigport.org/3632
Andrea Simonelli, Stefano Messelodi, Francesco De Natale, Samuel Rota Bulo', 2018. Increasingly specialized ensemble of Convolutional Neural Networks for Fine-grained recognition. Available at: http://sigport.org/3632.
Andrea Simonelli, Stefano Messelodi, Francesco De Natale, Samuel Rota Bulo'. (2018). "Increasingly specialized ensemble of Convolutional Neural Networks for Fine-grained recognition." Web.
1. Andrea Simonelli, Stefano Messelodi, Francesco De Natale, Samuel Rota Bulo'. Increasingly specialized ensemble of Convolutional Neural Networks for Fine-grained recognition [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3632