Section: Dissemination

Teaching - Supervision - Juries

Teaching

• Master : M. Aubry, K. Alahari, I. Laptev and J. Sivic "Introduction to computer vision", M1, Ecole normale superieure, 36h.

• Master : I. Laptev, J. Ponce and J. Sivic (together with C. Schmid, Inria Grenoble), "Object recognition and computer vision", M2, Ecole normale superieure, and MVA, Ecole normale superieure de Cachan, 36h.

• Master : I. Laptev and J. Sivic, Cours PSL-ITI - Informatique, mathematiques appliques pour le traitement du signal et l'imagerie, 20h.

Supervision

• PhD in progress : Thomas Eboli, started in Oct 2017, J. Ponce.

• PhD in progress : Zongmian Li, “Learning to manipulate objects from instructional videos”, started in Oct 2017, I. Laptev, J. Sivic and N. Mansard (LAAS/CNRS, Toulouse).

• PhD in progress : Yana Hasson, started in Nov 2017, I. Laptev and C. Schmid.

• PhD in progress : Dmitry Zhukov, “Learning from instruction videos for personal assistants”, started in Oct 2017, I. Laptev and J. Sivic.

• PhD in progress : Ignacio Rocco, “Estimating correspondence between images via convolutional neural networks”, started in Jan 2017, J. Sivic, R. Arandjelovic (Google DeepMind).

• PhD in progress : Antoine Miech, “Understanding long-term temporal structure of videos”, started in Oct 2016, I. Laptev, J. Sivic, P. Bojanowski (Facebook AI Research).

• PhD in progress : Gul Varol, “Deep learning methods for video interpretation”, started in Oct 2015, I. Laptev, C. Schmid.

• PhD in progress : Julia Peyre, “Learning to reason about scenes from images and language”, started in Oct 2015, C. Schmid, I. Laptev, J. Sivic.

• PhD in progress : Jean-Baptiste Alayrac, “Structured learning from video and natural language”, started in 2014, I. Laptev, J. Sivic and S. Lacoste-Julien (Inria SIERRA / U. Montreal).

• PhD : Rafael Sampaio de Rezende, “New methods for image classification, image retrieval and semantic correspondence”, graduated in 2017, J. Ponce.

• PhD in progress : Guilhem Cheron, “Structured modeling and recognition of human actions in video”, started in 2014, I. Laptev and C. Schmid.

• PhD in progress : Theophile Dalens, “Learning to analyze and reconstruct architectural scenes”, starting in Jan 2015, M. Aubry and J. Sivic.

• PhD in progress : Vadim Kantorov, “Large-scale video mining and recognition”, started in 2012, I. Laptev.

• PhD in progress : Maxime Oquab, “Learning to annotate dynamic scenes with convolutional neural networks”, started in Jan 2014, L. Bottou (Facebook AI Research), I. Laptev and J. Sivic.

• PhD in progress : Matthew Trager, “Projective geometric models in vision”, started in 2014, J. Ponce and M. Hebert (CMU).

• PhD in progress : Tuang Hung VU, “Learning functional description of dynamic scenes”, started in 2013, I. Laptev.

Juries

PhD thesis committee:

• Ahmet Iscen, University of Rennes, France, 2017, (J. Sivic, rapporteur).

• Edouard Oyallon, ENS, France, 2017, (I. Laptev, examinatuer).

• Juan Manuel PÉREZ RÚA, Inria Rennes, France, 2017, (I. Laptev, examinatuer).

• Ali Razavian, KTH Stockholm, Sweden, 2017 (J. Sivic, reviewer).

• Francisco Suzano Massa, ENPC, France, 2017, (J. Sivic, examinatuer).

• Mattis Paulin, Universite de Grenoble, France, 2017 (J. Sivic, rapporteur).