About Xin Wang

Xin Wang is a third-year Ph.D. student under the supervision of Nicolas Thome and Matthieu Cord in the Laboratoire d'Informatique de Paris 6 (LIP6), University of Paris 6 (UPMC). His research interest is using the eye-tracker for boosting the performance of classification system for recipe images. This research subject is as part of the VISIIR project, which aims at exploring new methods for semantic image annotation.
Xin Wang obtained his double B.E. degrees from Huazhong University of Science and Technology and University of Paris-Sud in 2012. He completed his M.S. in University of Paris-Sud and started his Ph.D. research in 2014.


About VISIIR VISIIR Demo (excellent work of Thomas Robert)

Publications

Gaze Latent Support Vector Machine For Image Classification Improved by Weakly Supervised Localization

Xin Wang, Nicolas Thome, Matthieu Cord
Pattern Recognition, 2017

PDF UPMC-G20 Samples UPMC-G20 Download





Gaze Latent Support Vector Machine For Image Classification

Xin Wang, Nicolas Thome, Matthieu Cord
IEEE International Conference on Image Processing (ICIP), Phoenix, USA, 2016

PDF Presentation







Recipe Recognition With Large Multimodal Food Dataset

Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso
Workshop CEA of IEEE International Conference on Multimedia & Exposition (ICME), Turin, Italy, 2015

PDF Presentation Dataset (12G) Demo (by Thomas Robert)


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