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IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 10/2012, Volume 34, Issue 10, pp. 1915 - 1926
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 03/2015, Volume 37, Issue 3, pp. 569 - 582
Journal Article
Journal of Visual Communication and Image Representation, ISSN 1047-3203, 01/2016, Volume 34, pp. 187 - 203
This paper introduces a new database of aerial images provided as a tool to benchmark automatic target recognition algorithms in unconstrained environments.... 
Aerial imagery | Computer vision | Low resolution images | Database | Detection | Infrared imagery | Target detection | Vehicles | RECOGNITION | COMPUTER SCIENCE, INFORMATION SYSTEMS | OBJECT | COMPUTER SCIENCE, SOFTWARE ENGINEERING | SEGMENTATION | SCALE | Machine vision | Algorithms
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 08/2014, Volume 36, Issue 8, pp. 1532 - 1545
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 17 - 24
Generic object detection is confronted by dealing with different degrees of variations in distinct object classes with tractable computations, which demands... 
Deformable models | DPM | Deformation | Regionlet | Boosting | Search problems | PASCAL | Layout | Subcategory | Prototypes | Object detection | Feature extraction | Detection | ImageNet | Object Detection | Volatile organic compounds | Computer vision | Segmentation | Searching | Categories | Mathematical models | Proposals
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 07/2016, Volume 38, Issue 7, pp. 1327 - 1341
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 04/2016, Volume 38, Issue 4, pp. 814 - 830
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 03/2013, Volume 35, Issue 3, pp. 597 - 610
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 7/2018, Volume 42, Issue 2, pp. 1 - 1
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of... 
Training | Detectors | Object detection | Feature extraction | Entropy | Proposals | Convolutional neural networks | Computer Vision | Machine Learning
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 936 - 944
Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in... 
Semantics | Detectors | Computer architecture | Object detection | Feature extraction | Robustness | Proposals
Conference Proceeding
2017 IEEE International Conference on Computer Vision (ICCV), ISSN 1550-5499, 10/2017, Volume 2017-, pp. 2999 - 3007
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of... 
Training | Computer vision | Detectors | Object detection | Entropy | Robustness | Proposals
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 04/2016, Volume 38, Issue 4, pp. 717 - 729
Journal Article
ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716, 12/2016, Volume 122, pp. 41 - 56
Journal Article