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ORCIDMeng Tang 0001
Person information
- affiliation (PhD 2019): University of Waterloo, Department of Computer Science, Ontario, Canada
- affiliation: University of Western Ontario, Department of Computer Science, Canada
Other persons with the same name
- Meng Tang — disambiguation page
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2020 – today
- 2024
[c9]Vincent Tao Hu, Wei Zhang, Meng Tang
, Pascal Mettes, Deli Zhao, Cees Snoek:
Latent Space Editing in Transformer-Based Flow Matching. AAAI 2024: 2247-2255- 2023
- [i7]Vincent Tao Hu, David W. Zhang, Pascal Mettes, Meng Tang, Deli Zhao, Cees G. M. Snoek:
Latent Space Editing in Transformer-Based Flow Matching. CoRR abs/2312.10825 (2023) - 2020
- [c8]Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
FroDO: From Detections to 3D Objects. CVPR 2020: 14708-14717 - [i6]Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
FroDO: From Detections to 3D Objects. CoRR abs/2005.05125 (2020)
2010 – 2019
- 2019
- [b1]Meng Tang:
Optimization for Image Segmentation. University of Waterloo, Ontario, Canada, 2019 - [j3]Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov:
Kernel Cuts: Kernel and Spectral Clustering Meet Regularization. Int. J. Comput. Vis. 127(5): 477-511 (2019) - [j2]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. 54: 88-99 (2019) - [j1]Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Kernel Clustering: Density Biases and Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 136-147 (2019) - [c7]Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Beyond Gradient Descent for Regularized Segmentation Losses. CVPR 2019: 10187-10196 - 2018
- [c6]Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers:
Normalized Cut Loss for Weakly-Supervised CNN Segmentation. CVPR 2018: 1818-1827 - [c5]Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov:
On Regularized Losses for Weakly-supervised CNN Segmentation. ECCV (16) 2018: 524-540 - [i5]Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov:
On Regularized Losses for Weakly-supervised CNN Segmentation. CoRR abs/1803.09569 (2018) - [i4]Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers:
Normalized Cut Loss for Weakly-supervised CNN Segmentation. CoRR abs/1804.01346 (2018) - [i3]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses forweakly supervised segmentation. CoRR abs/1805.04628 (2018) - [i2]Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
ADM for grid CRF loss in CNN segmentation. CoRR abs/1809.02322 (2018) - 2016
- [c4]Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov:
Normalized Cut Meets MRF. ECCV (2) 2016: 748-765 - 2015
- [c3]Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov:
Secrets of GrabCut and Kernel K-Means. ICCV 2015: 1555-1563 - [i1]Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov:
Secrets of GrabCut and Kernel K-means. CoRR abs/1506.07439 (2015) - 2014
- [c2]Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Pseudo-bound Optimization for Binary Energies. ECCV (5) 2014: 691-707 - 2013
- [c1]Meng Tang, Lena Gorelick, Olga Veksler, Yuri Boykov:
GrabCut in One Cut. ICCV 2013: 1769-1776
Coauthor Index
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