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2015 IEEE International Conference on Computer Vision (ICCV), ISSN 1550-5499, 12/2015, Volume 2015, pp. 1395 - 1403
We develop a new edge detection algorithm that addresses two critical issues in this long-standing vision problem: (1... 
Training | Image edge detection | Neural networks | Detectors | Machine learning | Predictive models | Feature extraction | Learning | Computer vision | Algorithms | Mathematical models | Boundaries | Human behavior | Edge detection | Image detection
Conference Proceeding
Computer-aided civil and infrastructure engineering, ISSN 1093-9687, 2017, Volume 32, Issue 5, pp. 361 - 378
Journal Article
Journal Article
The International Journal of Robotics Research, ISSN 0278-3649, 4/2015, Volume 34, Issue 4-5, pp. 705 - 724
We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects... 
RGB-D multi-modal data | deep learning | PR2 | Robotic grasping | 3D feature learning | Baxter | ROBOTICS | OBJECTS
Journal Article
Journal Article
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 10/2012, Volume 34, Issue 10, pp. 1915 - 1926
Journal Article
Computer-aided civil and infrastructure engineering, ISSN 1093-9687, 2017, Volume 32, Issue 12, pp. 1025 - 1046
Journal Article
Journal Article
Journal Article
Remote Sensing, ISSN 2072-4292, 2015, Volume 7, Issue 10, pp. 12680 - 12703
Detecting and modeling urban furniture are of particular interest for urban management and the development of autonomous driving systems... 
MLS | 3D point cloud | Pole-like objects | Feature extraction | Pattern recognition | Clustering | Anomaly detection | SYSTEM | RECOGNITION | anomaly detection | REMOTE SENSING | TREES | pole-like objects | feature extraction | SEMIAUTOMATED EXTRACTION | clustering | pattern recognition | MOBILE | Trees | Poles | Automation | Algorithms | Lasers | Classification | Three dimensional models | Anomalies
Journal Article
Journal of sound and vibration, ISSN 0022-460X, 2016, Volume 377, pp. 331 - 345
.... Currently, mainly manually-engineered features, such as the ball pass frequencies of the raceway, RMS, kurtosis an crest, are used for automatic fault detection... 
Condition monitoring | Feature learning | Fault detection | Convolutional neural network | Machine learning | Vibration analysis | ACOUSTICS | DIAGNOSIS | MECHANICS | ENGINEERING, MECHANICAL | Magneto-electric machines | Neural networks | Machinery | Analysis | Detectors
Journal Article
International journal of computer vision, ISSN 1573-1405, 2016, Volume 119, Issue 2, pp. 145 - 158
.... We found that these visualizations allow us to analyze object detection systems in new ways and gain new insight into the detector’s failures... 
Pattern Recognition | Feature visualization | Computer Science | Computer Imaging, Vision, Pattern Recognition and Graphics | Image Processing and Computer Vision | Visual recognition | Object detection | Artificial Intel