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ICIP
2009
IEEE
14 years 8 months ago
Recognizing Human Actions By Fusing Spatio-temporal Appearance And Motion Descriptors
In this paper we propose a new method for human action categorization by using an effective combination of a new 3D gradient descriptor with an optic flow descriptor, to represent...
CVPR
2008
IEEE
14 years 9 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
CVPR
2012
IEEE
11 years 10 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
VR
2007
IEEE
151views Virtual Reality» more  VR 2007»
14 years 1 months ago
The Influence of Visual Appearance of User's Avatar on the Manipulation of Objects in Virtual Environments
This paper describes an experiment conducted to study the influence of visual appearance of user’s avatar (or 3D cursor) on the manipulation of virtual objects in Virtual Enviro...
Abdelmajid Kadri, Anatole Lécuyer, Jean-Mar...
ECCV
2004
Springer
14 years 9 months ago
Appearance Based Qualitative Image Description for Object Class Recognition
The problem of recognizing classes of objects as opposed to special instances requires methods of comparing images that capture the variation within the class while they discrimina...
Johan Thureson, Stefan Carlsson