Meng Tang

Orcid: 0000-0002-2984-1343

Affiliations:
  • University of Waterloo, Department of Computer Science, Ontario, Canada (PhD 2019)
  • University of Western Ontario, Department of Computer Science, Canada


According to our database1, Meng Tang authored at least 14 papers between 2013 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
FroDO: From Detections to 3D Objects.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Optimization for Image Segmentation.
PhD thesis, 2019

Kernel Clustering: Density Biases and Solutions.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Constrained-CNN losses for weakly supervised segmentation.
Medical Image Anal., 2019

Kernel Cuts: Kernel and Spectral Clustering Meet Regularization.
Int. J. Comput. Vis., 2019

Beyond Gradient Descent for Regularized Segmentation Losses.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
ADM for grid CRF loss in CNN segmentation.
CoRR, 2018

Constrained-CNN losses forweakly supervised segmentation.
CoRR, 2018

On Regularized Losses for Weakly-supervised CNN Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Normalized Cut Loss for Weakly-Supervised CNN Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016
Normalized Cut Meets MRF.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Secrets of GrabCut and Kernel K-Means.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Pseudo-bound Optimization for Binary Energies.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
GrabCut in One Cut.
Proceedings of the IEEE International Conference on Computer Vision, 2013


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