A framework for low level feature extraction
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
Active object recognition integrating attention and viewpoint control
Computer Vision and Image Understanding
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Models for Recognition
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Attentional Selection for Object Recognition A Gentle Way
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Towards a Computational Model for Object Recognition in IT Cortex
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A statistical approach to 3d object detection applied to faces and cars
A statistical approach to 3d object detection applied to faces and cars
Efficient deformable filter banks
IEEE Transactions on Signal Processing
Attention region selection with information from professional digital camera
Proceedings of the 13th annual ACM international conference on Multimedia
Robust subspace analysis for detecting visual attention regions in images
Proceedings of the 13th annual ACM international conference on Multimedia
Selective visual attention enables learning and recognition of multiple objects in cluttered scenes
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Visual attention detection in video sequences using spatiotemporal cues
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Using visual attention to extract regions of interest in the context of image retrieval
Proceedings of the 44th annual Southeast regional conference
2006 Special Issue: Modeling attention to salient proto-objects
Neural Networks
Attention-driven image interpretation with application to image retrieval
Pattern Recognition
An attention-driven model for grouping similar images with image retrieval applications
EURASIP Journal on Applied Signal Processing
Foundations and Trends® in Computer Graphics and Vision
Real-time tracking of visually attended objects in interactive virtual environments
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
Detection of visual attention regions in images using robust subspace analysis
Journal of Visual Communication and Image Representation
Priority coding for video-telephony applications based on visual attention
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Automatic detection of salient objects and spatial relations in videos for a video database system
Image and Vision Computing
An efficient algorithm for attention-driven image interpretation from segments
Pattern Recognition
Color Saliency and Inhibition Using Static and Dynamic Scenes in Region Based Visual Attention
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
On the Optimality of Spatial Attention for Object Detection
Attention in Cognitive Systems
Spatiotemporal saliency for video classification
Image Communication
Selective visual attention enables learning and recognition of multiple objects in cluttered scenes
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Biologically inspired mobile robot vision localization
IEEE Transactions on Robotics
A smart automatic thumbnail cropping based on attention driven regions of interest extraction
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Local energy saliency for bottom-up visual attention
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
The use of attention and spatial information for rapid facial recognition in video
Image and Vision Computing
Content-based image retrieval using a combination of visual features and eye tracking data
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
VIEW'06 Proceedings of the 1st first visual information expert conference on Pixelization paradigm
Proceedings of the 29th DAGM conference on Pattern recognition
Context based object categorization: A critical survey
Computer Vision and Image Understanding
Main subject detection VIA adaptive feature selection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
IEEE Transactions on Image Processing
Segmenting salient objects from images and videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Visual attention based motion object detection and trajectory tracking
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
A cognitive approach for robots' vision using unsupervised learning and visual saliency
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
A neuromorphic approach to object detection and recognition in airborne videos with stabilization
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Bottom-up saliency based on weighted sparse coding residual
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Images as sets of locally weighted features
Computer Vision and Image Understanding
Object localization with boosting and weak supervision for generic object recognition
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Global salient information maximization for saliency detection
Image Communication
Non-local spatial redundancy reduction for bottom-up saliency estimation
Journal of Visual Communication and Image Representation
Multi-spectral saliency detection
Pattern Recognition Letters
Space-variant descriptor sampling for action recognition based on saliency and eye movements
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Similar region contrast based salient object detection
CVM'12 Proceedings of the First international conference on Computational Visual Media
A weighted dominant color descriptor for content-based image retrieval
Journal of Visual Communication and Image Representation
Salient object detection via color contrast and color distribution
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Magnitude Sensitive Competitive Learning
Neurocomputing
Optimal contrast based saliency detection
Pattern Recognition Letters
Letters: Background contrast based salient region detection
Neurocomputing
Abrupt motion tracking using a visual saliency embedded particle filter
Pattern Recognition
A New Framework for Multiscale Saliency Detection Based on Image Patches
Neural Processing Letters
Ensemble dictionary learning for saliency detection
Image and Vision Computing
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A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which part is irrelevant clutter which is not associated to the objects. We investigate empirically to what extent pure bottom-up attention can extract useful information about the location, size and shape of objects from images and demonstrate how this information can be utilized to enable unsupervised learning of objects from unlabeled images. Our experiments demonstrate that the proposed approach to using bottom-up attention is indeed useful for a variety of applications.