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Meng Tang
Meng Tang
Verified email at ucmerced.edu - Homepage
Title
Cited by
Cited by
Year
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
3522018
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
3282018
Grabcut in one cut
M Tang, L Gorelick, O Veksler, Y Boykov
Proceedings of the IEEE International Conference on Computer Vision, 1769-1776, 2013
2902013
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
2812019
FroDO: From Detections to 3D Objects
M Runz, K Li, M Tang, L Ma, C Kong, T Schmidt, I Reid, L Agapito, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
642020
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
512012
Kernel Cuts: Kernel and Spectral Clustering Meet Regularization
M Tang, D Marin, I Ben Ayed, Y Boykov
International Journal of Computer Vision 127, 477-511, 2019
48*2019
Pseudo-bound optimization for binary energies
M Tang, I Ben Ayed, Y Boykov
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
482014
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
472017
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
462015
Beyond gradient descent for regularized segmentation losses
D Marin, M Tang, IB Ayed, Y Boykov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
352019
Normalized cut meets MRF
M Tang, D Marin, IB Ayed, Y Boykov
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
332016
Latent space editing in transformer-based flow matching
VT Hu, W Zhang, M Tang, P Mettes, D Zhao, C Snoek
Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2247-2255, 2024
112024
Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
J Schnell, J Wang, L Qi, VT Hu, M Tang
arXiv preprint arXiv:2311.17121, 2023
12023
Decepticon: Attacking Secrets of Transformers
M Al Rafi, Y Feng, F Yao, M Tang, H Jeon
2023 IEEE International Symposium on Workload Characterization (IISWC), 128-139, 2023
12023
ReDistill: Residual Encoded Distillation for Peak Memory Reduction
F Chen, G Datta, MA Rafi, H Jeon, M Tang
arXiv preprint arXiv:2406.03744, 2024
2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
D Yan, L Qi, VT Hu, MH Yang, M Tang
arXiv preprint arXiv:2402.10821, 2024
2024
Optimization for Image Segmentation
M Tang
University of Waterloo, 2019
2019
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