Meng Tang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Measurement of the ${e}^{+}{e}^{-}\to p \bar{p}{\pi}^{0}$ cross section at $\sqrt{s}=2.1000-3.0800$ GeV	2024	BESIII Collaboration M. Ablikim М. Н. Ачасов P. Adlarson O. Afedulidis X. C. Ai R. Aliberti A. Amoroso Q. An Y. Bai
+ PDF Chat	Latent Space Editing in Transformer-Based Flow Matching	2024	Vincent Tao Hu Wei Zhang Meng Tang Pascal Mettes Deli Zhao Cees G. M. Snoek
+	Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation	2023	Jacob Schnell Jieke Wang Qi Lu Vincent Tao Hu Meng Tang
+	Latent Space Editing in Transformer-Based Flow Matching	2023	Vincent Tao Hu David W. Zhang Pascal Mettes Meng Tang Deli Zhao Cees G. M. Snoek
+ PDF Chat	Beyond Gradient Descent for Regularized Segmentation Losses	2019	Dmitrii Marin Meng Tang Ismail Ben Ayed Yuri Boykov
+ PDF Chat	Constrained-CNN losses for weakly supervised segmentation	2019	Hoel Kervadec José Dolz Meng Tang Éric Granger Yuri Boykov Ismail Ben Ayed
+	Learning Compressed Sentence Representations for On-Device Text Processing	2019	Dinghan Shen Pengyu Cheng Dhanasekar Sundararaman Xinyuan Zhang Qian Yang Meng Tang Aslı Çelikyılmaz Lawrence Carin
+	ADM for grid CRF loss in CNN segmentation	2018	Dmitrii Marin Meng Tang Ismail Ben Ayed Boykov Yuri
+ PDF Chat	Normalized Cut Loss for Weakly-Supervised CNN Segmentation	2018	Meng Tang Abdelaziz Djelouah Federico Perazzi Yuri Boykov Christopher Schroers
+	On Regularized Losses for Weakly-supervised CNN Segmentation	2018	Meng Tang Federico Perazzi Abdelaziz Djelouah Ismail Ben Ayed Christopher Schroers Yuri Boykov
+	Normalized Cut Loss for Weakly-supervised CNN Segmentation	2018	Meng Tang Abdelaziz Djelouah Federico Perazzi Yuri Boykov Christopher Schroers
+	Beyond Gradient Descent for Regularized Segmentation Losses	2018	Dmitrii Marin Meng Tang Ismail Ben Ayed Yuri Boykov
+ PDF Chat	On Regularized Losses for Weakly-supervised CNN Segmentation	2018	Meng Tang Federico Perazzi Abdelaziz Djelouah Ismail Ben Ayed Christopher Schroers Yuri Boykov
+ PDF Chat	Kernel Clustering: Density Biases and Solutions	2017	Dmitrii Marin Meng Tang Ismail Ben Ayed Yuri Boykov
+	Kernel clustering: Breiman's bias and solutions	2017	Dmitrii Marin Meng Tang Ismail Ben Ayed Yuri Boykov
+	Kernel Cuts: MRF meets Kernel & Spectral Clustering	2015	Meng Tang Dmitrii Marin Ismail Ben Ayed Yuri Boykov
+	Kernel Cuts: MRF meets Kernel & Spectral Clustering	2015	Meng Tang Dmitrii Marin Ismail Ben Ayed Yuri Boykov

Common Coauthors

Coauthor	Papers Together
Yuri Boykov	11
Ismail Ben Ayed	10
Dmitrii Marin	7
Abdelaziz Djelouah	4
Federico Perazzi	4
Christopher Schroers	4
Vincent Tao Hu	3
Pascal Mettes	2
Cees G. M. Snoek	2
Deli Zhao	2
K. Y. Shan	1
P. Patteri	1
A. Kupść	1
X. B. Gao	1
X. Dong	1
Q. M. Li	1
T. Z. Song	1
G. S. Huang	1
J. K. Jiao	1
M. Y. Dong	1
M. Tat	1
Y. W. Fu	1
Boykov Yuri	1
José Dolz	1
B. Wang	1
V. Khachatryan	1
C. Z. Yuan	1
H. Sun	1
R. P. Zhao	1
Y. H. Zheng	1
G. Chelkov	1
Qiyun Li	1
Y. F. Liang	1
Y. L. Xiao	1
Haocheng Zhang	1
X. H. Xie	1
Y. H. Fan	1
L. Gong	1
Dhanasekar Sundararaman	1
F. Li	1
Y. N. Wang	1
Z. Y. Chen	1
X. M. Zhang	1
M. G. Zhao	1
S. Y. Shi	1
J. W. Zhang	1
M. Maggiora	1
B. Wang	1
L. J. Li	1
Zefan Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials	2012	Philipp Krähenbühl Vladlen Koltun	8
+ PDF Chat	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation	2016	Di Lin Jifeng Dai Jiaya Jia Kaiming He Jian Sun	7
+ PDF Chat	Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation	2017	Paul Vernaza Manmohan Chandraker	5
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	5
+ PDF Chat	Simple Does It: Weakly Supervised Instance and Semantic Segmentation	2017	Anna Khoreva Rodrigo Benenson Jan Hosang Matthias Hein Bernt Schiele	5
+ PDF Chat	On Regularized Losses for Weakly-supervised CNN Segmentation	2018	Meng Tang Federico Perazzi Abdelaziz Djelouah Ismail Ben Ayed Christopher Schroers Yuri Boykov	4
+	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2016	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	4
+ PDF Chat	Conditional Random Fields as Recurrent Neural Networks	2015	Shuai Zheng Sadeep Jayasumana Bernardino Romera‐Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip H. S. Torr	4
+	None	1997	Vicent Caselles Ron Kimmel Guillermo Sapiro	3
+ PDF Chat	Normalized Cut Loss for Weakly-Supervised CNN Segmentation	2018	Meng Tang Abdelaziz Djelouah Federico Perazzi Yuri Boykov Christopher Schroers	3
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	3
+ PDF Chat	Active contours without edges	2001	Tony F. Chan Luminita A. Vese	3
+ PDF Chat	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems	2015	Jörg Hendrik Kappes Bjoern Andres Fred A. Hamprecht Christoph Schnörr Sebastian Nowozin Dhruv Batra Sungwoong Kim Bernhard X. Kausler Thorben Kröger Jan Lellmann	3
+	DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks	2016	Martin Rajchl Matthew C. H. Lee Ozan Oktay Konstantinos Kamnitsas Jonathan Passerat‐Palmbach Wenjia Bai Mellisa Damodaram Mary Rutherford Joseph V. Hajnal Bernhard Kainz	3
+ PDF Chat	Constrained Convolutional Neural Networks for Weakly Supervised Segmentation	2015	Deepak Pathak Philipp Krähenbühl Trevor Darrell	3
+	BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation	2015	Jifeng Dai Kaiming He Jian Sun	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	3
+ PDF Chat	Optimal approximations by piecewise smooth functions and associated variational problems	1989	David Mumford Jayant Shah	3
+ PDF Chat	Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions	2015	Yuri Boykov Hossam Isack Carl Olsson Ismail Ben Ayed	3
+	Fully Connected Deep Structured Networks	2015	Alexander G. Schwing Raquel Urtasun	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+ PDF Chat	A tutorial on spectral clustering	2007	Ulrike von Luxburg	2
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock	2
+ PDF Chat	A Convex Approach to Minimal Partitions	2012	Antonin Chambolle Daniel Cremers Thomas Pock	2
+ PDF Chat	What’s the Point: Semantic Segmentation with Point Supervision	2016	Amy Bearman Olga Russakovsky Vittorio Ferrari Li Fei-Fei	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Bregman Alternating Direction Method of Multipliers	2014	Huahua Wang Arindam Banerjee	2
+	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials	2012	Philipp Krähenbühl Vladlen Koltun	2
+	Scalable Kernel Clustering: Approximate Kernel k-means	2014	Radha Chitta Rong Jin Timothy C. Havens Anil K. Jain	2
+ PDF Chat	Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels	2015	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi	2
+ PDF Chat	BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation	2015	Jifeng Dai Kaiming He Jian Sun	2
+	Normalized Cut Loss for Weakly-supervised CNN Segmentation	2018	Meng Tang Abdelaziz Djelouah Federico Perazzi Yuri Boykov Christopher Schroers	2
+ PDF Chat	Efficient Graph Cut Optimization for Full CRFs with Quantized Edges	2019	Olga Veksler	2
+ PDF Chat	Some boundary conditions for a monotone analysis of symmetric matrices	1971	James C. Lingoes	1
+	Review Papers: Recent Developments in Nonparametric Density Estimation	1991	Alan Julian Izenman	1
+	A large annotated corpus for learning natural language inference	2015	Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning	1
+ PDF Chat	From image-level to pixel-level labeling with Convolutional Networks	2015	Pedro O. Pinheiro Ronan Collobert	1
+	Solving Ordinary Differential Equations I: Nonstiff Problems (E. Hairer, S. P. Norsett, and G. Wanner)	1990	Roger Alexander	1
+ PDF Chat	Variable Kernel Density Estimation	1992	George R. Terrell David W. Scott	1
+ PDF Chat	Hashing with binary autoencoders	2015	Miguel Á. Carreira-Perpiñán Ramin Raziperchikolaei	1
+ PDF Chat	Self-taught hashing for fast similarity search	2010	Dell Zhang Jun Wang Deng Cai Jinsong Lu	1
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	1
+	Multivariate Density Estimation	1992	David W. Scott	1
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	1
+ PDF Chat	Principled Parallel Mean-Field Inference for Discrete Random Fields	2016	Pierre Baqué Timur Bagautdinov François Fleuret Pascal Fua	1
+	11. The Imbedding Problem for Riemannian Manifolds	2002	JohnHG Nash	1
+	Learning under Distributed Weak Supervision	2016	Martin Rajchl Matthew C. H. Lee Franklin Schrans Alice Davidson Jonathan Passerat‐Palmbach Giacomo Tarroni Amir Alansary Ozan Oktay Bernhard Kainz Daniel Rueckert	1
+	Fully Convolutional Multi-Class Multiple Instance Learning	2014	Deepak Pathak Evan Shelhamer Jonathan Long Trevor Darrell	1
+	ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello	1
+	Optimization Transfer Using Surrogate Objective Functions	2000	Kenneth Lange David R. Hunter Ilsoon Yang	1