ANPL Publications:
- Y. Feldman, “Semantic Perception under Uncertainty with Viewpoint-Dependent Models,” PhD thesis, Technion - Israel Institute of Technology, 2022.
- Y. Feldman and V. Indelman, “Towards Self-Supervised Semantic Representation with a Viewpoint-Dependent Observation Model,” in International Conference on Computational Photography (ICCP), May 2021.
- Y. Feldman and V. Indelman, “Autonomous Semantic Perception in Uncertain Environments,” in RSS Pioneers Workshop, Jul. 2021.
- Y. Feldman and V. Indelman, “Spatially-Dependent Bayesian Semantic Perception under Model and Localization Uncertainty,” Autonomous Robots, 2020.
- Y. Feldman and V. Indelman, “Towards Self-Supervised Semantic Representation with a Viewpoint-Dependent Observation Model,” in Workshop on Self-Supervised Robot Learning, in conjunction with Robotics: Science and Systems (RSS), Jul. 2020.
- V. Tchuiev, Y. Feldman, and V. Indelman, “Data Association Aware Semantic Mapping and Localization via a Viewpoint Dependent Classifier Model,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov. 2019.
- Y. Feldman and V. Indelman, “Bayesian Viewpoint-Dependent Robust Classification under Model and Localization Uncertainty,” in IEEE International Conference on Robotics and Automation (ICRA), May 2018.
- Y. Feldman and V. Indelman, “Towards Robust Autonomous Semantic Perception,” in Workshop on Representing a Complex World: Perception, Inference, and Learning for Joint Semantic, Geometric, and Physical Understanding, in conjunction with IEEE International Conference on Robotics and Automation (ICRA), May 2018.
