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CASCADED TEMPORAL SPATIAL FEATURES FOR VIDEO ACTION RECOGNITION


Extracting spatial-temporal descriptors is a challenging task for video-based human action recognition. We decouple the 3D volume of video frames directly into a cascaded temporal spatial domain via a new convolutional architecture. The motivation behind this design is to achieve deep nonlinear feature representations with reduced network parameters. First, a 1D temporal network with shared parameters is first constructed to map the video sequences along the time axis into feature maps in temporal domain.

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Authors:
Tingzhao Yu, Huxiang Gu, Lingfeng Wang, Shiming Xiang, Chunhong Pan
Submitted On:
15 September 2017 - 5:00am
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CTS_Tsingzao_v1_pdf.pdf

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[1] Tingzhao Yu, Huxiang Gu, Lingfeng Wang, Shiming Xiang, Chunhong Pan, "CASCADED TEMPORAL SPATIAL FEATURES FOR VIDEO ACTION RECOGNITION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2111. Accessed: Oct. 18, 2019.
@article{2111-17,
url = {http://sigport.org/2111},
author = {Tingzhao Yu; Huxiang Gu; Lingfeng Wang; Shiming Xiang; Chunhong Pan },
publisher = {IEEE SigPort},
title = {CASCADED TEMPORAL SPATIAL FEATURES FOR VIDEO ACTION RECOGNITION},
year = {2017} }
TY - EJOUR
T1 - CASCADED TEMPORAL SPATIAL FEATURES FOR VIDEO ACTION RECOGNITION
AU - Tingzhao Yu; Huxiang Gu; Lingfeng Wang; Shiming Xiang; Chunhong Pan
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2111
ER -
Tingzhao Yu, Huxiang Gu, Lingfeng Wang, Shiming Xiang, Chunhong Pan. (2017). CASCADED TEMPORAL SPATIAL FEATURES FOR VIDEO ACTION RECOGNITION. IEEE SigPort. http://sigport.org/2111
Tingzhao Yu, Huxiang Gu, Lingfeng Wang, Shiming Xiang, Chunhong Pan, 2017. CASCADED TEMPORAL SPATIAL FEATURES FOR VIDEO ACTION RECOGNITION. Available at: http://sigport.org/2111.
Tingzhao Yu, Huxiang Gu, Lingfeng Wang, Shiming Xiang, Chunhong Pan. (2017). "CASCADED TEMPORAL SPATIAL FEATURES FOR VIDEO ACTION RECOGNITION." Web.
1. Tingzhao Yu, Huxiang Gu, Lingfeng Wang, Shiming Xiang, Chunhong Pan. CASCADED TEMPORAL SPATIAL FEATURES FOR VIDEO ACTION RECOGNITION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2111

Action Recognition In RGB-D Egocentric Videos


In this paper, we investigate the problem of action recognition in RGB-D egocentric videos. These self-generated and embodied videos provide richer semantic cues than the conventional videos captured from the third-person view for action recognition. Moreover, they contain both appearance information and 3D structure of the scenes from the RGB modality and depth modality respectively. Motivated by these advantages,

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Authors:
Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou
Submitted On:
6 September 2017 - 9:35am
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ICIP_poster.pdf

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[1] Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou, "Action Recognition In RGB-D Egocentric Videos", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1842. Accessed: Oct. 18, 2019.
@article{1842-17,
url = {http://sigport.org/1842},
author = {Yansong Tang; Yi Tian; Jiwen Lu; Jianjiang Feng; Jie Zhou },
publisher = {IEEE SigPort},
title = {Action Recognition In RGB-D Egocentric Videos},
year = {2017} }
TY - EJOUR
T1 - Action Recognition In RGB-D Egocentric Videos
AU - Yansong Tang; Yi Tian; Jiwen Lu; Jianjiang Feng; Jie Zhou
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1842
ER -
Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou. (2017). Action Recognition In RGB-D Egocentric Videos. IEEE SigPort. http://sigport.org/1842
Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou, 2017. Action Recognition In RGB-D Egocentric Videos. Available at: http://sigport.org/1842.
Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou. (2017). "Action Recognition In RGB-D Egocentric Videos." Web.
1. Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou. Action Recognition In RGB-D Egocentric Videos [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1842

Sample - your presentation can have video attachments


Dear SigPort Users, do you want to use audio and video to demonstrate your research results? SigPort has a solution.  Sigport now supports PDF documents with audio/video attachments. Please see our sample files:  Sample 1: http://sigport.org/1791     Sample 2: http://sigport.org/1792     How to add audio and video to your presentation slides and posters?

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5 April 2017 - 7:54pm
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Sample PDF with video attachment.pdf

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[1] , "Sample - your presentation can have video attachments", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1792. Accessed: Oct. 18, 2019.
@article{1792-17,
url = {http://sigport.org/1792},
author = { },
publisher = {IEEE SigPort},
title = {Sample - your presentation can have video attachments},
year = {2017} }
TY - EJOUR
T1 - Sample - your presentation can have video attachments
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1792
ER -
. (2017). Sample - your presentation can have video attachments. IEEE SigPort. http://sigport.org/1792
, 2017. Sample - your presentation can have video attachments. Available at: http://sigport.org/1792.
. (2017). "Sample - your presentation can have video attachments." Web.
1. . Sample - your presentation can have video attachments [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1792

Sample - audio in your presentation slides and posters


Dear SigPort Users, do you want to use audio and video to demonstrate your research results? SigPort has a solution.  Sigport now supports PDF documents with audio/video attachments. Please see our sample files: Sample 1: http://sigport.org/1791    Sample 2: http://sigport.org/1792     How to add audio and video to your presentation slides and posters?

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Submitted On:
5 April 2017 - 8:07pm
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Sample PDF with audio attachment.pdf

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[1] , "Sample - audio in your presentation slides and posters", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1791. Accessed: Oct. 18, 2019.
@article{1791-17,
url = {http://sigport.org/1791},
author = { },
publisher = {IEEE SigPort},
title = {Sample - audio in your presentation slides and posters},
year = {2017} }
TY - EJOUR
T1 - Sample - audio in your presentation slides and posters
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1791
ER -
. (2017). Sample - audio in your presentation slides and posters. IEEE SigPort. http://sigport.org/1791
, 2017. Sample - audio in your presentation slides and posters. Available at: http://sigport.org/1791.
. (2017). "Sample - audio in your presentation slides and posters." Web.
1. . Sample - audio in your presentation slides and posters [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1791

2017 SP Cup Report - ROBOD: a Real-time Online Beat and Offbeat Drummer

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Authors:
Raminta Balsyte, Amaury Durand, Florian Krebs, Sebastian Pöll
Submitted On:
27 March 2017 - 9:38pm
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Presentatio Slides - Team 2.pdf

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[1] Raminta Balsyte, Amaury Durand, Florian Krebs, Sebastian Pöll , "2017 SP Cup Report - ROBOD: a Real-time Online Beat and Offbeat Drummer", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1784. Accessed: Oct. 18, 2019.
@article{1784-17,
url = {http://sigport.org/1784},
author = {Raminta Balsyte; Amaury Durand; Florian Krebs; Sebastian Pöll },
publisher = {IEEE SigPort},
title = {2017 SP Cup Report - ROBOD: a Real-time Online Beat and Offbeat Drummer},
year = {2017} }
TY - EJOUR
T1 - 2017 SP Cup Report - ROBOD: a Real-time Online Beat and Offbeat Drummer
AU - Raminta Balsyte; Amaury Durand; Florian Krebs; Sebastian Pöll
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1784
ER -
Raminta Balsyte, Amaury Durand, Florian Krebs, Sebastian Pöll . (2017). 2017 SP Cup Report - ROBOD: a Real-time Online Beat and Offbeat Drummer. IEEE SigPort. http://sigport.org/1784
Raminta Balsyte, Amaury Durand, Florian Krebs, Sebastian Pöll , 2017. 2017 SP Cup Report - ROBOD: a Real-time Online Beat and Offbeat Drummer. Available at: http://sigport.org/1784.
Raminta Balsyte, Amaury Durand, Florian Krebs, Sebastian Pöll . (2017). "2017 SP Cup Report - ROBOD: a Real-time Online Beat and Offbeat Drummer." Web.
1. Raminta Balsyte, Amaury Durand, Florian Krebs, Sebastian Pöll . 2017 SP Cup Report - ROBOD: a Real-time Online Beat and Offbeat Drummer [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1784

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