Julien Bohné

According to our database, Julien Bohné authored at least 7 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Learning local metrics from pairwise similarity data.

Julien Bohné, Yiming Ying, Stéphane Gentric, Massimiliano Pontil

Pattern Recognit., 2018

2017

von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification.

Abul Hasnat, Julien Bohné, Jonathan Milgram, Stéphane Gentric, Liming Chen

CoRR, 2017

DeepVisage: Making face recognition simple yet with powerful generalization skills.

Abul Hasnat, Julien Bohné, Stéphane Gentric, Liming Chen

CoRR, 2017

DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills.

Abul Hasnat, Julien Bohné, Jonathan Milgram, Stéphane Gentric, Liming Chen

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Beyond linear similarity function learning.

Julien Bohné

PhD thesis, 2016

Similarity Function Learning with Data Uncertainty.

Julien Bohné, Sylvain Colin, Stéphane Gentric, Massimiliano Pontil

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2014

Large Margin Local Metric Learning.

Julien Bohné, Yiming Ying, Stéphane Gentric, Massimiliano Pontil

Proceedings of the Computer Vision - ECCV 2014, 2014