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SIDAS‘17

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Authors:
Changshui Zhang, Shefeng Yan, Liwei Wang, Shiguang Shan, Jingdong Chen, Fangjiong Chen
Submitted On:
11 October 2017 - 2:41pm
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SIDAS2017_materials.pdf

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[1] Changshui Zhang, Shefeng Yan, Liwei Wang, Shiguang Shan, Jingdong Chen, Fangjiong Chen, "SIDAS‘17", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2257. Accessed: Nov. 20, 2017.
@article{2257-17,
url = {http://sigport.org/2257},
author = {Changshui Zhang; Shefeng Yan; Liwei Wang; Shiguang Shan; Jingdong Chen; Fangjiong Chen },
publisher = {IEEE SigPort},
title = {SIDAS‘17},
year = {2017} }
TY - EJOUR
T1 - SIDAS‘17
AU - Changshui Zhang; Shefeng Yan; Liwei Wang; Shiguang Shan; Jingdong Chen; Fangjiong Chen
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2257
ER -
Changshui Zhang, Shefeng Yan, Liwei Wang, Shiguang Shan, Jingdong Chen, Fangjiong Chen. (2017). SIDAS‘17. IEEE SigPort. http://sigport.org/2257
Changshui Zhang, Shefeng Yan, Liwei Wang, Shiguang Shan, Jingdong Chen, Fangjiong Chen, 2017. SIDAS‘17. Available at: http://sigport.org/2257.
Changshui Zhang, Shefeng Yan, Liwei Wang, Shiguang Shan, Jingdong Chen, Fangjiong Chen. (2017). "SIDAS‘17." Web.
1. Changshui Zhang, Shefeng Yan, Liwei Wang, Shiguang Shan, Jingdong Chen, Fangjiong Chen. SIDAS‘17 [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2257

When Harmonic Analysis Meets Machine Learning: Lipschitz Analysis of Deep Convolution Networks


Deep neural networks have led to dramatic improvements in performance for many machine learning tasks, yet the mathematical reasons for this success remain largely unclear. In this talk we present recent developments in the mathematical framework of convolutive neural networks (CNN). In particular we discuss the scattering network of Mallat and how it relates to another problem in harmonic analysis, namely the phase retrieval problem. Then we discuss the general convolutive neural network from a theoretician point of view.

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Authors:
Radu Balan
Submitted On:
19 October 2017 - 11:56am
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Presentation slides (pdf version)

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[1] Radu Balan, "When Harmonic Analysis Meets Machine Learning: Lipschitz Analysis of Deep Convolution Networks", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2263. Accessed: Nov. 20, 2017.
@article{2263-17,
url = {http://sigport.org/2263},
author = {Radu Balan },
publisher = {IEEE SigPort},
title = {When Harmonic Analysis Meets Machine Learning: Lipschitz Analysis of Deep Convolution Networks},
year = {2017} }
TY - EJOUR
T1 - When Harmonic Analysis Meets Machine Learning: Lipschitz Analysis of Deep Convolution Networks
AU - Radu Balan
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2263
ER -
Radu Balan. (2017). When Harmonic Analysis Meets Machine Learning: Lipschitz Analysis of Deep Convolution Networks. IEEE SigPort. http://sigport.org/2263
Radu Balan, 2017. When Harmonic Analysis Meets Machine Learning: Lipschitz Analysis of Deep Convolution Networks. Available at: http://sigport.org/2263.
Radu Balan. (2017). "When Harmonic Analysis Meets Machine Learning: Lipschitz Analysis of Deep Convolution Networks." Web.
1. Radu Balan. When Harmonic Analysis Meets Machine Learning: Lipschitz Analysis of Deep Convolution Networks [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2263

SIDAS‘17

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Submitted On:
8 October 2017 - 10:24pm
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SIDAS2017_materials.pdf

(22 downloads)

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[1] , "SIDAS‘17", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2256. Accessed: Nov. 20, 2017.
@article{2256-17,
url = {http://sigport.org/2256},
author = { },
publisher = {IEEE SigPort},
title = {SIDAS‘17},
year = {2017} }
TY - EJOUR
T1 - SIDAS‘17
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2256
ER -
. (2017). SIDAS‘17. IEEE SigPort. http://sigport.org/2256
, 2017. SIDAS‘17. Available at: http://sigport.org/2256.
. (2017). "SIDAS‘17." Web.
1. . SIDAS‘17 [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2256

ICIP 2017 - SPS Welcoming Remarks, Rabab Ward, IEEE SPS President


IEEE Signal Processing Society welcoming remarks slides from IEEE President, Rabab Ward at ICIP 2017 on 18 September 2017 in Beijing, China.

Accompanying video can be fount on the Resource Center as well as IEEE SPS YouTube: https://www.youtube.com/watch?v=NRRzs0bB0a0.

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Submitted On:
18 September 2017 - 3:38pm
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ICIP 2017 - Rabab Ward Opening Remarks.pdf

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[1] , "ICIP 2017 - SPS Welcoming Remarks, Rabab Ward, IEEE SPS President", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2228. Accessed: Nov. 20, 2017.
@article{2228-17,
url = {http://sigport.org/2228},
author = { },
publisher = {IEEE SigPort},
title = {ICIP 2017 - SPS Welcoming Remarks, Rabab Ward, IEEE SPS President},
year = {2017} }
TY - EJOUR
T1 - ICIP 2017 - SPS Welcoming Remarks, Rabab Ward, IEEE SPS President
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2228
ER -
. (2017). ICIP 2017 - SPS Welcoming Remarks, Rabab Ward, IEEE SPS President. IEEE SigPort. http://sigport.org/2228
, 2017. ICIP 2017 - SPS Welcoming Remarks, Rabab Ward, IEEE SPS President. Available at: http://sigport.org/2228.
. (2017). "ICIP 2017 - SPS Welcoming Remarks, Rabab Ward, IEEE SPS President." Web.
1. . ICIP 2017 - SPS Welcoming Remarks, Rabab Ward, IEEE SPS President [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2228

DenseNet for Dense Flow


Efficient Large-Scale Video Understanding in The Wild

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Authors:
Yi Zhu,Shawn Newsam
Submitted On:
16 September 2017 - 2:54am
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ICIP17_phd_forum_poster.pdf

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[1] Yi Zhu,Shawn Newsam, "DenseNet for Dense Flow", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2182. Accessed: Nov. 20, 2017.
@article{2182-17,
url = {http://sigport.org/2182},
author = {Yi Zhu;Shawn Newsam },
publisher = {IEEE SigPort},
title = {DenseNet for Dense Flow},
year = {2017} }
TY - EJOUR
T1 - DenseNet for Dense Flow
AU - Yi Zhu;Shawn Newsam
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2182
ER -
Yi Zhu,Shawn Newsam. (2017). DenseNet for Dense Flow. IEEE SigPort. http://sigport.org/2182
Yi Zhu,Shawn Newsam, 2017. DenseNet for Dense Flow. Available at: http://sigport.org/2182.
Yi Zhu,Shawn Newsam. (2017). "DenseNet for Dense Flow." Web.
1. Yi Zhu,Shawn Newsam. DenseNet for Dense Flow [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2182

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

(25 downloads)

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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: Nov. 20, 2017.
@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,

Paper Details

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

(32 downloads)

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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: Nov. 20, 2017.
@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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Submitted On:
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: Nov. 20, 2017.
@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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Authors:
Submitted On:
5 April 2017 - 8:07pm
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Sample PDF with audio attachment.pdf

(99 downloads)

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[1] , "Sample - audio in your presentation slides and posters", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1791. Accessed: Nov. 20, 2017.
@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: Nov. 20, 2017.
@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