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» Structured Learning and Prediction in Computer Vision
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CVPR
2012
IEEE
11 years 10 months ago
Discovering important people and objects for egocentric video summarization
We present a video summarization approach for egocentric or “wearable” camera data. Given hours of video, the proposed method produces a compact storyboard summary of the came...
Yong Jae Lee, Joydeep Ghosh, Kristen Grauman
ICPR
2008
IEEE
14 years 2 months ago
Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models
One of the major limitations of HMM-based models is the inability to cope with topology: When applied to a visible observation (VO) sequence, HMM-based techniques have difficulty ...
Djamel Bouchaffra
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
ECCV
2010
Springer
14 years 19 days ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
CVPR
2009
IEEE
15 years 3 months ago
Learning Based Automatic Face Annotation for Arbitrary Poses and Expressions from Frontal Images Only
Statistical approaches for building non-rigid deformable models, such as the Active Appearance Model (AAM), have enjoyed great popularity in recent years, but typically require ...
Akshay Asthana (Australian National University), R...