Hi! I'm Firstname Lastname, PhD student in Computer Vision and Machine Learning.

I am advised by Matthieu Cord and Nicolas Thome at the LIP6 (UPMC Paris 6 / Sorbonne Universités)

Research

My primary research interests are in the fields of computer vision and machine learning. I work on weakly-supervised models to learn discriminative regions to perform robust image categorization (object recognition, scene classification, action classification). I am interested in the Multiple Instance Learning (MIL) approach with Latent Structural SVM (LSSVM) model.

Recent publications

Gaze latent SVM for image classification

X. Wang, N. Thome, M. Cord

IEEE ICIP (2016)

Max-Min convolutional neural networks for image classification

M. Blot, M. Cord, N. Thome

IEEE ICIP (2016)

Recipe Recognition with Large Multimodal Food Dataset

X. Wang, D. Kumar, N. Thome, M. Cord, F. Precioso

Cooking and Eating Activities at IEEE ICME (2015)

LR-CNN For Fine-grained Classification with Varying Resolution

M. Chevalier, N. Thome, M. Cord, J. Fournier, G. Henaff, E. Dutch

IEEE ICIP (2015)

Paper Supplementary

See all my publications