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Bio-inspired multimedia systems and signal processing

ICASSP2020_Slides

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Authors:
Yongwei Chen, Weitong Chen, Xixin Cao, Qianting Hua
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13 May 2020 - 10:41pm
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ICASSP 2020_sigport.pdf

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[1] Yongwei Chen, Weitong Chen, Xixin Cao, Qianting Hua, "ICASSP2020_Slides", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5203. Accessed: Jul. 12, 2020.
@article{5203-20,
url = {http://sigport.org/5203},
author = {Yongwei Chen; Weitong Chen; Xixin Cao; Qianting Hua },
publisher = {IEEE SigPort},
title = {ICASSP2020_Slides},
year = {2020} }
TY - EJOUR
T1 - ICASSP2020_Slides
AU - Yongwei Chen; Weitong Chen; Xixin Cao; Qianting Hua
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5203
ER -
Yongwei Chen, Weitong Chen, Xixin Cao, Qianting Hua. (2020). ICASSP2020_Slides. IEEE SigPort. http://sigport.org/5203
Yongwei Chen, Weitong Chen, Xixin Cao, Qianting Hua, 2020. ICASSP2020_Slides. Available at: http://sigport.org/5203.
Yongwei Chen, Weitong Chen, Xixin Cao, Qianting Hua. (2020). "ICASSP2020_Slides." Web.
1. Yongwei Chen, Weitong Chen, Xixin Cao, Qianting Hua. ICASSP2020_Slides [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5203

DENOISING OF EVENT-BASED SENSORS WITH SPATIAL-TEMPORAL CORRELATION

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13 May 2020 - 10:01pm
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ICASSP2020-Wu.pdf

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[1] , "DENOISING OF EVENT-BASED SENSORS WITH SPATIAL-TEMPORAL CORRELATION", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5190. Accessed: Jul. 12, 2020.
@article{5190-20,
url = {http://sigport.org/5190},
author = { },
publisher = {IEEE SigPort},
title = {DENOISING OF EVENT-BASED SENSORS WITH SPATIAL-TEMPORAL CORRELATION},
year = {2020} }
TY - EJOUR
T1 - DENOISING OF EVENT-BASED SENSORS WITH SPATIAL-TEMPORAL CORRELATION
AU -
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5190
ER -
. (2020). DENOISING OF EVENT-BASED SENSORS WITH SPATIAL-TEMPORAL CORRELATION. IEEE SigPort. http://sigport.org/5190
, 2020. DENOISING OF EVENT-BASED SENSORS WITH SPATIAL-TEMPORAL CORRELATION. Available at: http://sigport.org/5190.
. (2020). "DENOISING OF EVENT-BASED SENSORS WITH SPATIAL-TEMPORAL CORRELATION." Web.
1. . DENOISING OF EVENT-BASED SENSORS WITH SPATIAL-TEMPORAL CORRELATION [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5190

A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS


This paper focuses on multi-sensor anomaly detection for moving cognitive agents using both external and private first-person visual observations. Both observation types are used to characterize agents’ motion in a given environment. The proposed method generates locally uniform motion models by dividing a Gaussian process that approximates agents’ displacements on the scene and provides a Shared Level (SL) self-awareness based on Environment Centered (EC) models.

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Authors:
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni
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18 April 2018 - 10:40am
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SS-L2.5 A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS.pdf

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[1] Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni, "A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2964. Accessed: Jul. 12, 2020.
@article{2964-18,
url = {http://sigport.org/2964},
author = {Mohamad Baydoun; Mahdyar Ravanbakhsh; Damian Campo; Pablo Marin; David Martin; Lucio Marcenaro; Andrea Cavallaro; Carlo S. Regazzoni },
publisher = {IEEE SigPort},
title = {A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS},
year = {2018} }
TY - EJOUR
T1 - A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS
AU - Mohamad Baydoun; Mahdyar Ravanbakhsh; Damian Campo; Pablo Marin; David Martin; Lucio Marcenaro; Andrea Cavallaro; Carlo S. Regazzoni
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2964
ER -
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni. (2018). A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS. IEEE SigPort. http://sigport.org/2964
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni, 2018. A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS. Available at: http://sigport.org/2964.
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni. (2018). "A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS." Web.
1. Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni. A MULTI-PERSPECTIVE APPROACH TO ANOMALY DETECTION FOR SELF-AWARE EMBODIED AGENTS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2964

Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues


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Presentation Slides for "Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues" at GlobalSIP 2015

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Authors:
Ghassan AlRegib
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23 February 2016 - 1:44pm
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GlobalSIP15_UncertainitySaliency.pdf

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[1] Ghassan AlRegib, "Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/402. Accessed: Jul. 12, 2020.
@article{402-15,
url = {http://sigport.org/402},
author = {Ghassan AlRegib },
publisher = {IEEE SigPort},
title = {Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues},
year = {2015} }
TY - EJOUR
T1 - Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues
AU - Ghassan AlRegib
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/402
ER -
Ghassan AlRegib. (2015). Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues. IEEE SigPort. http://sigport.org/402
Ghassan AlRegib, 2015. Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues. Available at: http://sigport.org/402.
Ghassan AlRegib. (2015). "Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues." Web.
1. Ghassan AlRegib. Unsupervised Estimation Of Uncertainty For Video Saliency Detection Using Temporal Cues [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/402