Meng Tang
Meng Tang
Facebook Reality Labs
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TitleCited byYear
Grabcut in one cut
M Tang, L Gorelick, O Veksler, Y Boykov
Proceedings of the IEEE International Conference on Computer Vision, 1769-1776, 2013
1562013
Improved delay-range-dependent stability criteria for linear systems with interval time-varying delays
M Tang, YW Wang, C Wen
IET Control Theory & Applications 6 (6), 868-873, 2012
432012
Pseudo-bound optimization for binary energies
M Tang, IB Ayed, Y Boykov
European Conference on Computer Vision, 691-707, 2014
342014
Normalized cut loss for weakly-supervised CNN segmentation
M Tang, A Djelouah, F Perazzi, Y Boykov, C Schroers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
332018
On regularized losses for weakly-supervised cnn segmentation
M Tang, F Perazzi, A Djelouah, I Ben Ayed, C Schroers, Y Boykov
Proceedings of the European Conference on Computer Vision (ECCV), 507-522, 2018
322018
Constrained-CNN losses for weakly supervised segmentation
H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, IB Ayed
Medical image analysis 54, 88-99, 2019
232019
Secrets of GrabCut and Kernel K-means
M Tang, I Ben Ayed, D Marin, Y Boykov
Proceedings of the IEEE International Conference on Computer Vision, 1555-1563, 2015
222015
Normalized cut meets mrf
M Tang, D Marin, IB Ayed, Y Boykov
European Conference on Computer Vision, 748-765, 2016
172016
Kernel Cuts: Kernel and Spectral Clustering Meet Regularization
M Tang, D Marin, IB Ayed, Y Boykov
International Journal of Computer Vision 127 (5), 477-511, 2019
9*2019
Kernel clustering: density biases and solutions
D Marin, M Tang, IB Ayed, Y Boykov
IEEE transactions on pattern analysis and machine intelligence 41 (1), 136-147, 2017
82017
Beyond Gradient Descent for Regularized Segmentation Losses
D Marin, M Tang, IB Ayed, Y Boykov
IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2019
42019
Optimization for Image Segmentation
M Tang
University of Waterloo, 2019
2019
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Articles 1–12