Julia Peyre
Ph.D. student
Willow team
Inria Paris
2 rue Simone IFF
75012 Paris
France
Inria Paris
2 rue Simone IFF
75012 Paris
France
I have completed my PhD at INRIA Willow, advised by Josef Sivic, Ivan Laptev, and Cordelia Schmid. I graduated from Ecole polytechnique in 2016 and got a Masters Degree in Mathematics, Machine Learning and Computer Vision (MVA). My research interests include : understanding visual scenes, learning from few or weak data, joint modeling of images and language. More details can be found in my resume.
Publications
Detecting unseen visual relations using analogies
In Proc. ICCV 2019
Weakly-supervised learning of visual relations
In Proc. ICCV 2017 (Oral, acceptance rate 2.1%).
[talk]
[paper]
[slides]
[poster]
[arXiv]
[webpage]
[GitHub]
[bibtex]
@article{Peyre17, author = {Peyre, Julia and Laptev, Ivan and Schmid, Cordelia and Sivic, Josef}, title = {Weakly-supervised learning of visual relations}, journal = {International Conference on Computer Vision (ICCV)}, year = {2017} }
PhD Thesis
Learning to detect visual relations
[thesis]
Invited talks
June 2019 : Université Aix Marseille, Département Informatique et Interactions.
August 2018 : BNPP PRAIRIE Summer School.
Teaching
2016-2017 : Teaching Assistant, Introduction to Probabilistic Graphical Models, MVA, ENS Cachan.