Bing Wang

Orcid: 0000-0003-4621-9115

Affiliations:

Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore

According to our database¹, Bing Wang authored at least 16 papers between 2014 and 2020.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2020

Object Tracking Via ImageNet Classification Scores.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Scene Segmentation with DAG-Recurrent Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Scene Parsing With Integration of Parametric and Non-Parametric Models.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association Based on Large-Scale Datasets.

[BibT_eX]

[DOI]

CoRR, 2016

Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

DAG-Recurrent Neural Networks for Scene Labeling.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2015

Convolutional recurrent neural networks: Learning spatial dependencies for image representation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Integrating parametric and non-parametric models for scene labeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Pedestrian detection in highly crowded scenes using "online" dictionary learning for occlusion handling.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Tracklet Association in Detect-Then-Track Paradigm for Long-Term Multi-person Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Tracklet Association with Online Target-Specific Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Bing Wang

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Bibliography

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