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 16 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Latent Space Editing in Transformer-Based Flow Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Latent Space Editing in Transformer-Based Flow Matching.

[BibT_eX]

[DOI]

CoRR, 2023

2020

FroDO: From Detections to 3D Objects.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Optimization for Image Segmentation.

[BibT_eX]

[DOI]

Meng Tang

PhD thesis, 2019

Kernel Clustering: Density Biases and Solutions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Constrained-CNN losses for weakly supervised segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Kernel Cuts: Kernel and Spectral Clustering Meet Regularization.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Beyond Gradient Descent for Regularized Segmentation Losses.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

ADM for grid CRF loss in CNN segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Constrained-CNN losses forweakly supervised segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

On Regularized Losses for Weakly-supervised CNN Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Normalized Cut Loss for Weakly-Supervised CNN Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Normalized Cut Meets MRF.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Secrets of GrabCut and Kernel K-Means.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Pseudo-bound Optimization for Binary Energies.

[BibT_eX]

[DOI]

Meng Tang

Ismail Ben Ayed

Yuri Boykov

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

GrabCut in One Cut.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Meng Tang

Timeline

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