Meng Tang
Email: mtang4 AT ucmerced.edu
Assistant Professor
Department of Computer Science and Engineering
University of California, Merced
I am interested in computer vision and machine learning, with particular focus on weak supervision.
I am looking for multiple fully funded PhD students. Send me your cv and transcript if you are interested!
I am also looking for visiting students!
What's new?
Jan. 2023: Rising star lecture at A*STAR's Centre for Frontier AI Research (CFAR), Singapore.
Jan. 2023: I joined UC Merced as a tenure-track assistant professor.
July 2022: Serve as a senior program committee member for AAAI 2023.
Feb. 2020: One paper accepted to CVPR 2020.
June 2019: Attend CVPR and its doctoral consortium.
May 2019: I joined Facebook Reality Labs in Redmond, WA.
Publication
Conferences
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), Seattle, USA, June 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), Long Beach, USA, June 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), Amsterdam, Netherlands, July 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), Salt Lake City, USA, June 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
IEEE International Conference on Computer Vision (
ICCV), Santiago, Chile, December 2015.
[PDF] [Code] [Poster]
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
IEEE International Conference on Computer Vision (
ICCV), Sydney, Australia, December 2013.
[PDF] [Code] [Poster]
Journals
Kernel Cuts: Kernel and Spectral Clustering meet Regularization
Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov
International Journal of Computer Vision (
IJCV), volume 127, pages 477-511, May 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, volume 6, pages 868-873, 2012.
[PDF]
