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My work pivots around the design and deployment of new products related to Computer Vision and Machine Learning. My main job focus involves technologies such as 3D scanning, photogrammetry, metrology, and deep learning on 2D and 3D data.
I explored the rapid growth of social networks and digital mapping data, which offers a rich source of contextual information that can be exploited in practical computer vision systems. My Ph.D. research focused on improving object detection and image segmentation by finding geometric context cues. In particular, I investigated how structure from motion and multi-view stereo can help in the world of scene understanding.
I explored the rapid growth of social networks and digital mapping data, which offers a rich source of contextual information that can be exploited in practical computer vision systems. My Ph.D. research focused on improving object detection and image segmentation by finding geometric context cues. In particular, I investigated how structure from motion and multi-view stereo can help in the world of scene understanding.
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2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2017): 959-968
semanticscholar(2013)
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Computer Visionno. 1 (2013): 273-280
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