Accueil du site web de l'ÉTS
English
Accueil
Équipe
Membres réguliers
Membres associés
Étudiants
Anciens étudiants
Recherche et innovation
Projets
Publications
Thèses
Mémoires
Brevets
Seminars
Étudiants recherchés
Section réservée
Nous joindre
Seminars
autres années
:
2016
The Upcoming Seminars in LIVIA in 2017 :
March 08, 2018 , Room: A-3600, time: 12:00
Prof. N. Kemal Ure
(Istanbul Technical University)
Topic: Geometric and Algebraic Methods for Efficient Multiagent Deep Reinforcement Learning.
Previous Talks
:
February 07, 2018 , Room: A-3600, time: 12:00
Amran Bhuiyan
Topic: Person Re-identification: From Closed to Open Scenarios. (
Slides
)
November 22, 2017 , Room: A-3600, time: 12:00
Jose Dolz
Topic: Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation.
November 8, 2017 , Room: A-3600, time: 12:00
Luiz Gustavo
Topic: adversarial examples in deep neural networks.(
Github Link
) (
Slides
)
October 11, 2017 , Room: A-3600, time: 12:00
Karthik Gopinath
Topic: A design for an automated Optical Coherence Tomography analysis system.(
Slides
)
September 12, 2017 , Room: A-1424, time: 14:00
Prof. Marco Loog (Delft University)
Topic: Improvement Guarantees for Semi-Supervised Learning.
September 8, 2017 , Room: A-3600, time: 14:00
Prof. Jing Yuan (Xidian University, China)
Topic: High-Performance Dual Decomposition and Optimization Methods with Applications to Image Analysis.
July 19, 2017 , Room: A-3600, time: 12:00
Prof. Kuldeep Kumar, PhD student (ETS)
Topic: Fiberprint: a subject fingerprint based on sparse code pooling for white matter fiber analysis.
June 26, 2017 (Monday) , Room: A-1424, time: 14:00
Prof. Pierre-Marc Jodoin,(University of Sherbrooke)
Topic: Recent advances at the VITALab : solving video analytic and medical imaging problems trough deep learning methods.
June 7, 2017 (Wednesday) , Room:
Dr. Jose Dolz
(ETS)
Topic: Segmentation of Medical Images via Deep Learning Techniques: Current State-Of-The-Art and Perspectives. (
Slides
)
May 18, 2017 (Thursday) , Room: A-1170
Prof. Yuri Boykov, (University of Western Ontario)
Topic: Kernel Clustering meets Markov Random Fields.
May 18, 2017 (Thursday) , Room: A-1170
Prof. Prof. Olga Veskler,
(University of Western Ontario)
Topic: Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies.
May 10, 2017 (Wednesday) , Room: A-1424
Dr. Albert Gordo,
(Computer Vision Group, Xerox Research Centre Europe)
Topic: Learning deep image representations for visual search.
April 19, 2017 (Wednesday) , Room: A-1424
Prof. Marco Pedersoli
(ETS)
Topic: Weakly Supervised Models for Visual Recognition. (
Slides
)