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@@ -126,4 +126,5 @@ If you use ThunderSVM in your paper, please cite our work ([full version](https:
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## Selected projects that use ThunderSVM
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* Scene Graphs for Interpretable Video Anomaly Classification (published in NeurIPS18)
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* 3D Semantic Segmentation for High-resolution Aerial Survey Derived Point Clouds using Deep Learning (published in SIGSPATIAL’18)
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* Accounting for part pose estimation uncertainties during trajectory generation for part pick-up using mobile manipulators. (published in International Conference on Robotics and Automation (ICRA), 2019).
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