I work on computer vision and machine learning. I am particularly interested in developing data-efficient and compute-efficient models
by leveraging optimization methods, probabilistic graphical models, semi-supervised learning, generative AI etc.
Latent Space Editing in Transformer-Based Flow Matching
Vincent Tao Hu, David W Zhang, Pascal Mettes, Meng Tang, Deli Zhao, Cees G.M. Snoek
Early version published at Workshop on New Frontiers in Learning, Control, and Dynamical Systems at ICML 2023.
Decepticon: Understanding Vulnerabilities of Transformers
Mujahid Al Rafi, Yuan Feng, Fan Yao, Meng Tang, Hyeran Jeon
IEEE International Symposium on Workload Characterization (
IISWC), 2023.
[PDF]
FroDO: From Detections to 3D Objects
M. Rünz, K. Li, M. Tang, L. Ma, C. Kong, T. Schmidt, I. Reid, L. Agapito, J. Straub, S. Lovegrove, R. Newcombe
IEEE Conference on Computer Vision and Pattern Recognition (
CVPR), 2020.
[PDF] [Video]
Beyond Gradient Descent for Regularized Segmentation Losses
Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov
IEEE Conference on Computer Vision and Pattern Recognition (
CVPR), 2019.
[PDF] [Code]
On Regularized Losses for Weakly-supervised CNN Segmentation
Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov
Size-constraint loss for weakly supervised cnn segmentation
Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
Medical Imaging with Deep Learning (MIDL), 2018.
[PDF] (
oral)
Normalized Cut Loss for Weakly-supervised CNN Segmentation
Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers
IEEE Conference on Computer Vision and Pattern Recognition (
CVPR), 2018.
[PDF] [Poster]
Normalized Cut Meets MRF
Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov
Secrets of GrabCut and Kernel K-means
Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov
Pseudo-Bound Optimization for Binary Energies
Meng Tang, Ismail Ben Ayed, Yuri Boykov
GrabCut in One Cut
Meng Tang, Lena Gorelick, Olga Veksler, Yuri Boykov
Journals
Kernel Cuts: Kernel and Spectral Clustering meet Regularization
Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov
International Journal of Computer Vision (
IJCV), 2019.
[PDF] [arXiv]
Constrained-CNN losses for weakly supervised segmentation
Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
Kernel Clustering: Density Biases and Solutions
Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov
IEEE Transactions on Pattern Analysis and Machine Intelligence (
PAMI), 2017.
[PDF]
Improved delay-range-dependent stability criteria for linear systems with interval time-varying delays
Meng Tang, Yan-Wu Wang, Changyun Wen
IET Control Theory & Applications, 2012.
[PDF]