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International Journal of Computer Vision, ISSN 0920-5691, 6/2012, Volume 98, Issue 2, pp. 168 - 186
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 11/2014, Volume 110, Issue 2, pp. 185 - 201
Journal Article
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2015, Volume 7-12-, pp. 685 - 694
Successful methods for visual object recognition typically rely on training datasets containing lots of richly annotated images. Detailed image annotation,... 
Training | Visualization | Supervised learning | Neural networks | Computer architecture | Search problems | Object recognition | Computer vision | Annotations | Classification | Images | Labels | Pattern recognition
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 2019, pp. 1 - 1
Journal Article
2014 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2014, pp. 1717 - 1724
Convolutional neural networks (CNN) have recently shown outstanding image classification performance in the large- scale visual recognition challenge... 
Training | Visualization | Computer vision | Image recognition | Neural networks | Training data | Image representation | Volatile organic compounds | Pascal (programming language) | Images | Pattern recognition | Representations | Object recognition | Visual
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 04/2009, Volume 31, Issue 4, pp. 591 - 606
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 06/2018, Volume 40, Issue 6, pp. 1437 - 1451
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 5297 - 5307
We tackle the problem of large scale visual place recognition, where the task is to quickly and accurately recognize the location of a given query photograph.... 
Training | Visualization | Image recognition | Image retrieval | Neural networks | Computer architecture | Image representation
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 39 - 48
We address the problem of determining correspondences between two images in agreement with a geometric model such as an affine or thin-plate spline... 
Geometry | Correlation | Neural networks | Estimation | Computer architecture | Feature extraction | Robustness
Conference Proceeding
International Journal of Computer Vision, ISSN 0920-5691, 11/2011, Volume 95, Issue 2, pp. 138 - 153
Journal Article
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 08/2012, Volume 31, Issue 4, pp. 1 - 9
Given a large repository of geotagged imagery, we seek to automatically find visual elements, e. g. windows, balconies, and street signs, that are most... 
reference art | visual perception | visual summarization | big data | data mining | computational geography | Big data | Computational geography | Visual summarization | Data mining | Reference art | Visual perception | COMPUTER SCIENCE, SOFTWARE ENGINEERING | RECOGNITION | SELECTION | SCENE | FEATURES | Architecture | Computer Vision and Pattern Recognition | Computer Science
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 3165 - 3174
In this work, we introduce a new video representation for action classification that aggregates local convolutional features across the entire spatio-temporal... 
Image recognition | Convolution | Aggregates | Computer architecture | Streaming media | Feature extraction | Trajectory
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2018, Volume 40, Issue 2, pp. 257 - 271
Journal Article
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 03/2014, Volume 33, Issue 2, pp. 1 - 14
Journal Article
2014 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2014, pp. 3762 - 3769
This paper poses object category detection in images as a type of 2D-to-3D alignment problem, utilizing the large quantities of 3D CAD models that have been... 
Solid modeling | Visualization | Design automation | Computational modeling | recognition | Calibration | 3D | Three-dimensional displays | Detectors | category representation | mid-level visual elements | alignment | CAD models | Alignment | Chairs | Categories | Mathematical models | Three dimensional models | Computer aided design | Visual | Three dimensional | Image detection
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 11/2015, Volume 37, Issue 11, pp. 2346 - 2359
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 11/2019, Volume 41, Issue 11, pp. 2553 - 2567
Journal Article
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