Min Yang

Affiliations:
  • Beijing Institute of Technology, School of Computer Science, Beijing Laboratory of Intelligent Information Technology, China


According to our database1, Min Yang authored at least 19 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Online maximum a posteriori tracking of multiple objects using sequential trajectory prior.
Image Vis. Comput., 2020

2017
A Hybrid Data Association Framework for Robust Online Multi-Object Tracking.
IEEE Trans. Image Process., 2017

2016
Online Discriminative Tracking With Active Example Selection.
IEEE Trans. Circuits Syst. Video Technol., 2016

Temporal dynamic appearance modeling for online multi-person tracking.
Comput. Vis. Image Underst., 2016

Online Multi-Person Tracking Based on Metric Learning.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Visual tracking with sparse correlation filters.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Robust Discriminative Tracking via Landmark-Based Label Propagation.
IEEE Trans. Image Process., 2015

A Unified Probabilistic Framework for Real-Time Depth Map Fusion.
J. Inf. Sci. Eng., 2015

Online visual tracking by integrating spatio-temporal cues.
IET Comput. Vis., 2015

Telepresence Interaction by Touching Live Video Images.
CoRR, 2015

Learning online structural appearance model for robust object tracking.
Sci. China Inf. Sci., 2015

Robust Online Multi-object Tracking by Maximum a Posteriori Estimation with Sequential Trajectory Prior.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Metric Learning Based Structural Appearance Model for Robust Visual Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2014

Visual Tracking Using Multi-stage Random Simple Features.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Coupling Semi-supervised Learning and Example Selection for Online Object Tracking.
Proceedings of the Computer Vision - ACCV 2014, 2014

Landmark-Based Inductive Model for Robust Discriminative Tracking.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Online-Learning Structural Appearance Model for Robust Visual Tracking.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

Robust object tracking via online multiple instance metric learning.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

2011
A real-time system for 3D recovery of dynamic scene with multiple RGBD imagers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011


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