Laurens van der Maaten – Facebook Research

Computer Vision

Facebook AI Research

Machine Learning

I am a research scientist at Facebook AI Research since March 2015, with a focus on machine learning and computer vision. Prior, I worked as an assistant professor at Delft University of Technology and as a post-doctoral researcher at University of California, San Diego. I received my PhD from Tilburg University in 2009.

Interests

Machine learning and computer vision

Google Scholar Profile

Google Scholar Profile

Latest Publications

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

Benjamin Graham, Laurens van der Maaten, Martin Engelcke

CVPR 2018 - June 18, 2018

Separating Self-Expression and Visual Content in Hashtag Supervision

Andreas Veit, Maximilian Nickel, Serge Belongie, Laurens van der Maaten

CVPR 2018 - June 18, 2018

Learning by Asking Questions

Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten

CVPR 2018 - June 18, 2018

CondenseNet: An Efficient DenseNet using Learned Group Convolutions

Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger

CVPR 2018 - June 18, 2018

Exploring the Limits of Weakly Supervised Pretraining

Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

ArXiv - May 2, 2018

Multi-Scale Dense Networks for Resource Efficient Image Classification

Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Weinberger

ICLR 2018 - April 30, 2018

Countering Adversarial Images Using Input Transformations

Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten

ICLR 2018 - April 30, 2018

Inferring and Executing Programs for Visual Reasoning

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, Larry Zitnick, Ross Girshick

ICCV 2017 - October 22, 2017

Learning Visual N-Grams from Web Data

Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten

ICCV 2017 - October 22, 2017

Densely Connected Convolutional Networks

Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger

CVPR - July 21, 2017

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, Larry Zitnick, Ross Girshick

CVPR 2017 - July 21, 2017

Revisiting Visual Question Answering Baselines

Allan Jabri, Armand Joulin, Laurens van der Maaten

ECCV - October 10, 2016

Learning Visual Features from Large Weakly Supervised Data

Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache

ECCV - October 8, 2016

News

Advancing state-of-the-art image recognition with deep learning on hashtags

May 2, 2018

Facebook Researchers Focus on the Most Challenging Machine Learning Questions at ICML 2016

June 19, 2016