Phil Ammirato
Phil Ammirato
Research Assistant in Computer Science, UNC-Chapel Hill
Verified email at - Homepage
Cited by
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A Dataset for Developing and Benchmarking Active Vision
P Ammirato, P Poirson, E Park, J Kosecka, AC Berg
2017 IEEE International Conference on Robotics and Automation (ICRA), 2017
Fast single shot detection and pose estimation
P Poirson, P Ammirato, CY Fu, W Liu, J Kosecka, AC Berg
2016 Fourth International Conference on 3D Vision (3DV), 676-684, 2016
A mask-rcnn baseline for probabilistic object detection
P Ammirato, AC Berg
arXiv preprint arXiv:1908.03621, 2019
Target driven instance detection
P Ammirato, CY Fu, M Shvets, J Kosecka, AC Berg
arXiv preprint arXiv:1803.04610, 2018
Active vision dataset benchmark
P Ammirato, AC Berg, J Kosecka
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Symgan: Orientation estimation without annotation for symmetric objects
P Ammirato, J Tremblay, MY Liu, A Berg, D Fox
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Verification and evaluation of collision avoidance algorithms
J Li, P Ammirato, S Biaz
Tech. Rep, 2014
Recognizing Fine-Grained Object Instances for Robotics Applications
P Ammirato
The University of North Carolina at Chapel Hill, 2019
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