• Jakob Verbeek
• CV
• Data
• Publications
• Software
• Teaching
• Talks

Talks

2019

• A brief introduction to deep learning for generative modeling, and some additional topics.
  Nordic Probabilistic AI School, and Breaking the Surface.

2018

• Coverage and quality driven training of generative image models
  Mathematics and deep learning day, University Aix-Marseille, November 2018.
• Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction.
  Conference on Computational Natural Language Learning 2018.
• FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis.
  Conference on Computer Vision and Pattern Recognition 2018.

2017

• Areas of Attention for Image Captioning.
  Seminar at Technicolor Research and Innovation Imaging Science Lab, Rennes, France, January 23.

2016

• Convolutional neural fabrics.
  Seminar at PSI team, department of Electrical Engineering (ESAT), University of Leuven, Belgium, October 21.

2015

• Face representation and metric learning.
  Presentation Physionomie workshop at EAFS 2015, Prague, Czech Republic, September 9.
• Object category localization with incomplete supervision.
  Invited lecture at Statlearn workshop, Grenoble, France, April 3.
• Object Detection with Incomplete Supervision.
  Seminar at Dept. of Information Engineering and Computer Science , University of Trento, Trento, Italy, March 16.
• Object Detection with Incomplete Supervision.
  Seminar at Computer Vision Center, Barcelona, Spain, February 12. [video]

2014

• The Fisher vector representation: principles and applications.
  Invited lecture at the Third Croatian Computer Vision Workshop, Center of Excellence for Computer Vision, Zagreb, Croatia, September 16.

2013

• Segmentation Driven Object Detection with Fisher Vectors.
  Seminar at the Intelligent Systems Laboratory Amsterdam, University of Amsterdam, The Netherlands, October 15.
• Segmentation Driven Object Detection with Fisher Vectors.
  Seminar at the Media Integration and Communication Center at the University of Florence, Italy, September 24.
• Face verification "in the wild".
  Presentation at DGA workshop on Multimedia Information Processing (TIM 2013), Paris, France, July 2.

2012

• Image categorization using Fisher kernels of non-iid image models.
  Seminar at Computer Vision and Machine Learning group, IST, Vienna, Austria, June 11.
• Image categorization using Fisher kernels of non-iid image models.
  Seminar at Computer Vision Center, Barcelona, Spain, June 4.
• Probabilistic topic models - basics and extensions.
  INRIA Reading group ''Advanced Topics in Manifold Learning'', Grenoble, France, May 15.
• Image categorization using Fisher kernels of non-iid image models.
  Seminar at TEXMEX group, INRIA, Rennes, France, April 20.

2011

• Modelling spatial layout for image classification.
  Seminar at Statistical Machine Learning group, NICTA, Canberra, Australia, May 26.
• Learning structured prediction models for interactive image labeling.
  Seminar at Canon Information Systems Research Australia, Sydney, Australia, May 20.
• Face recognition in the wild: verification and caption-based recognition.
  Workshop on 3D and 2D Face Analysis and Recognition, Ecole Centrale de Lyon / Lyon University, January 28 2011.

2010

• Metric learning approaches for image annotation and face verification.
  Laboratoire TIMC-IMAG, AMA team, Grenoble, October 7, 2010.
• Metric learning approaches for caption-based face recognition in uncontrolled settings.
  ECCV Workshop on Face Detection: Where are we, and what next?, Hersonissos, Greece, September 10, 2010.
• Metric learning approaches for image annotation and face recognition.
  INRIA Visual Recognition and Machine Learning Summer School, Grenoble, July 30, 2010.
• Weakly supervised learning of MRF models for image region labeling.
  Jean Kuntzmann Laboratory evaluation seminar, Grenoble, January 28, 2010.