Xiaoyang Wang

Affiliations:
  • Nokia Bell Labs, Murray Hill, NJ, USA
  • Rensselaer Polytechnic Institute, Troy, NY, USA (PhD 2015)


According to our database1, Xiaoyang Wang authored at least 18 papers between 2011 and 2020.

Collaborative distances:

Timeline

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Bibliography

2020
Requet: Real-Time QoE Metric Detection for Encrypted YouTube Traffic.
ACM Trans. Multim. Comput. Commun. Appl., 2020

2019
Requet: real-time QoE detection for encrypted YouTube traffic.
Proceedings of the 10th ACM Multimedia Systems Conference, 2019

2017
Hierarchical Context Modeling for Video Event Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016
Object Recognition with Hidden Attributes.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multilingual articulatory features augmentation learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Taxonomy augmented object recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Shared speech attribute augmentation for English-Tibetan cross-language phone recognition.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Video event recognition with deep hierarchical context model.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Context augmented Dynamic Bayesian Networks for event recognition.
Pattern Recognit. Lett., 2014

Learning with Hidden Information.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Attribute Augmentation with Sparse Coding.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Hierarchical Context Model for Event Recognition in Surveillance Video.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Learning dynamic Bayesian network discriminatively for human activity recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A novel probabilistic approach utilizing clip attribute as hidden knowledge for event recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011


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