Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR1.2k papers
- The University of TokyoJP948 papers
- Excellence Cluster UniverseDE902 papers
- University of BonnDE857 papers
- Max Planck Institute for PhysicsDE848 papers
- Ludwig-Maximilians-Universität MünchenDE836 papers
- Lawrence Berkeley National LaboratoryUS774 papers
- University of CopenhagenDK774 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR757 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR745 papers
- European Organization for Nuclear ResearchCH705 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT682 papers
5 papers · 2 filters
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures
Xian Wei, Hao Shen, Martin Kleinsteuber
Video representation is an important and challenging task in the computer vision community. In this paper, we assume that image frames of a moving scene can be modeled as a Linear…
Co-Sparse Textural Similarity for Image Segmentation
Claudia Nieuwenhuis, Daniel Cremers, Simon Hawe +1
We propose an algorithm for segmenting natural images based on texture and color information, which leverages the co-sparse analysis model for image segmentation within a convex mu…
6th International Symposium on Attention in Cognitive Systems 2013
Lucas Paletta, Laurent Itti, Björn Schuller +1
This volume contains the papers accepted at the 6th International Symposium on Attention in Cognitive Systems (ISACS 2013), held in Beijing, August 5, 2013. The aim of this symposi…
Convolutional Neural Networks learn compact local image descriptors
Christian Osendorfer, Justin Bayer, Patrick van der Smagt
A standard deep convolutional neural network paired with a suitable loss function learns compact local image descriptors that perform comparably to state-of-the art approaches.
A Health Monitoring System for Elder and Sick Persons
Ankit Chaudhary, Jagdish L. Raheja
This paper discusses a vision based health monitoring system which would be very easy in use and deployment. Elder and sick people who are not able to talk or walk they are depende…