Publications

Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-Massoud Farahmand (2024). When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. RLC.

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Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-Massoud Farahmand, Eric Eaton (2024). Dissecting Deep RL with High Update Ratios: Combatting Value Divergence. RLC.

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Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Guler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski (2024). SPAD: Spatially Aware Multi-View Diffusers. CVPR.

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Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic (2024). Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CVPR.

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Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski (2024). LEOD: Label-Efficient Object Detection for Event Cameras. CVPR.

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Akash Karthikeyan, Robert Ren, Yash Kant, Igor Gilitschenski (2024). AvatarOne: Monocular 3D Human Animation. WACV.

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Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone (2023). trajdata: A Unified Interface to Multiple Human Trajectory Datasets. NeurIPS-DB.

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Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg (2023). SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. NeurIPS.

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Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Guler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski (2023). iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis. SIGGRAPH Asia Conf..

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Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson (2023). Geometry Matching for Multi-Embodiment Grasping. CoRL.

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Peter Werner, Tim Seyde, Paul Drews, Thomas Balch, Wilko Schwarting, Igor Gilitschenski, Guy Rossman, Sertac Karaman, Daniela Rus (2023). Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL.

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Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski (2023). Reference-guided Controllable Inpainting of Neural Radiance Fields. ICCV.

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Teddy Ort, Igor Gilitschenski, Daniela Rus (2023). GROUNDED: A Localizing Ground Penetrating Radar Evaluation Dataset for Learning to Localize in Inclement Weather. IJRR (accepted).

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Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus (2023). Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. RA-L.

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Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein (2023). SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CVPR.

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Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell (2023). SparsePose: Sparse-View Camera Pose Regression and Refinement. CVPR.

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Yash Kant, Aliaksandr Siarohin, Riza Alp Guler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski (2023). Invertible Neural Skinning. CVPR.

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Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin Riedmiller, Daniela Rus, Markus Wulfmeier (2023). Solving Continuous Control via Q-Learning. ICLR.

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Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski (2022). LaTeRF: Label and Text Driven Object Radiance Fields. ECCV.

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Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot*, Harsh Agrawal* (2022). Housekeep: Tidying Virtual Households using Commonsense Reasoning. ECCV.

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Teddy Ort, Jeffrey M. Walls, Steven A. Parkison, Igor Gilitschenski, Daniela Rus (2022). MapLite 2.0: Online HD Map Inference Using a Prior SD Map. RA-L.

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Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus (2022). Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC.

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Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus (2022). VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA.

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Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus (2022). Learning Interactive Driving Policies via Data-driven Simulation. ICRA.

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Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan M. Jasour, Stephen McGill, John Leonard, Brian Williams (2022). HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA.

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Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan Meireles, Sertac Karaman, Daniela Rus (2022). A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA.

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Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus (2022). Learning An Explainable Trajectory Generator Using The Automaton Generative Network (AGN). RA-L.

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Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus (2022). Sensitivity-Informed Provable Pruning of Neural Networks. SIMODS.

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Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin Riedmiller, Markus Wulfmeier, Daniela Rus (2021). Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS.

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Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus (2021). Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL.

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Teddy Ort, Igor Gilitschenski, Daniela Rus (2021). GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset. RSS.

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Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan DeCastro, Sertac Karaman, Daniela Rus (2021). Vehicle Trajectory Prediction Using Generative Adversarial Network with Temporal Logic Syntax Tree Features. RA-L.

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Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus (2020). Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL.

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Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus (2020). Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRL.

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Chenxi Ye, Yiduo Wang, Ziwen Lu, Igor Gilitschenski, Martin Parsley, Simon J. Julier (2020). Exploiting Semantic and Public Prior Information in MonoSLAM. IROS.

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Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus (2020). Deep Context Maps: Agent Trajectory Prediction using Location-specific Latent Maps. RA-L.

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Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus (2020). Deep Orientation Uncertainty Learning based on a Bingham Loss. ICLR.

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Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus (2020). MapLite: Autonomous Intersection Navigation without a Detailed Prior Map. RA-L.

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Alexander Amini, Igor Gilitschenski, Jacob Philips, Julia Moseyko, Rohan Banerjee, Sertac Karaman, Daniela Rus (2020). Learning Robust Control Policies for End-to-End Autonomous Driving from Data-Driven Simulation. RA-L.

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Teddy Ort, Igor Gilitschenski, Daniela Rus (2020). Autonomous Navigation in Inclement Weather based on a Localizing Ground Penetrating Radar. RA-L.

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Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus (2019). Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. IROS.

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Brandon Araki, Igor Gilitschenski, Tatum Ogata, Alex Wallar, Wilko Schwarting, Zareen Choudhury, Sertac Karaman, Daniela Rus (2019). Range-based Cooperative Localization with Nonlinear Observability Analysis. ITSC.

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Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard (2019). Probabilistic Risk Metrics for Navigating Occluded Intersections. RA-L.

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Mathias Bürki, Cesar Cadena, Igor Gilitschenski, Roland Siegwart, Juan Nieto (2019). Appearance-Based Landmark Selection for Visual Localization. JFR.

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Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus (2019). Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. ICLR.

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Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Y. Siegwart (2019). Directional Statistics and Filtering Using libDirectional. JSS.

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Benjamin Völz, Holger Mielenz, Igor Gilitschenski, Roland Siegwart, Juan Nieto (2019). Inferring Pedestrian Motions at Urban Crosswalks. Tr-ITS.

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Mina Kamel, Sebastian Verling, Omar Elkhatib, Christian Sprecher, Paula Wulkop, Zachary Taylor, Roland Siegwart, Igor Gilitschenski (2018). The Voliro Omniorientational Hexacopter: An Agile and Maneuverable Tiltable-Rotor Aerial Vehicle. RAM.

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Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Fredo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus (2018). ShadowCam: Real-Time Detection of Moving Obstacles behind a Corner for Autonomous Vehicles. ITSC.

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Marcin Dymczyk, Igor Gilitschenski, Juan Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart (2018). LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization. IROS.

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Hannes Sommer, Igor Gilitschenski, Michael Bloesch, Stephan Weiss, Roland Siegwart, Juan Nieto (2018). Why and How to Avoid the Flipped Quaternion Multiplication. Aerospace.

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Thomas Schneider, Marcin Dymczyk, Marius Fehr, Kevin Egger, Simon Lynen, Igor Gilitschenski, Roland Siegwart (2018). maplab: An Open Framework for Research in Visual-inertial Mapping and Localization. RA-L.

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Renaud Dubé, Mattia G. Gollub, Hannes Sommer, Igor Gilitschenski, Roland Siegwart, Cesar Cadena, Juan Nieto (2018). Incremental Segment-Based Localization in 3D Point Clouds. RA-L.

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Timo Hinzmann, Thomas Stastny, Cesar Cadena, Roland Siegwart, Igor Gilitschenski (2018). Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes. RA-L.

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Lucas Liebenwein, Cenk Baykal, Igor Gilitschenski, Sertac Karaman, Daniela Rus (2018). Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees. RSS.

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Matthias Bürki, Marcin Dymczyk, Igor Gilitschenski, Cesar Cadena, Roland Siegwart, Juan Nieto (2018). Map Management for Efficient Long-Term Visual Localization in Outdoor Environments. IV.

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Anurag Sai Vempati, Igor Gilitschenski, Juan Nieto, Paul Beardsley, Roland Siegwart (2017). Onboard Real-time Dense Reconstruction of Large-scale Environments for UAV. IROS.

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Hannes Sommer, Raghav Khanna, Igor Gilitschenski, Zachary Taylor, Roland Siegwart, Juan Nieto (2017). A Low-Cost System for High-Rate, High-Accuracy Temporal Calibration for LIDARs and Cameras. IROS.

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Fadri Furrer, Marius Fehr, Tonci Novkovic, Igor Gilitschenski, Paul Beardsley, Roland Siegwart (2017). Evaluation of Combined Time-Offset Estimation and Hand-Eye Calibration on Robotic Datasets. FSR.

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Thomas Schneider, Mingyang Li, Michael Burri, Juan Nieto, Roland Siegwart, Igor Gilitschenski (2017). Visual-Inertial Self-Calibration on Informative Motion Segments. ICRA.

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Marius Fehr, Fadri Furrer, Ivan Dryanovski, Jürgen Sturm, Igor Gilitschenski, Roland Siegwart, Cesar Cadena (2017). TSDF-Based Change Detection for Consistent Long-Term Dense Reconstruction and Dynamic Object Discovery. ICRA.

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Hamza Merzic, Elena Stumm, Marcin Dymczyk, Roland Siegwart, Igor Gilitschenski (2017). Map Quality Evaluation for Visual Localization. ICRA.

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Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski, Roland Siegwart (2017). Efficient Descriptor Learning for Large Scale Localization. ICRA.

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Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski (2017). Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircrafts in Arbitrarily Strong Windfields. ACC.

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Michael Bosse, Gabriel Agamennoni, Igor Gilitschenski (2016). Robust Estimation and Applications in Robotics. Foundations and Trends in Robotics..

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Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Andreas Schaffner, Simon Lynen, Roland Siegwart, Igor Gilitschenski (2016). Monocular Visual-Inertial SLAM for Fixed-Wing UAVs Using Sliding Window Based Nonlinear Optimization. ISVC.

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Benjamin Völz, Karsten Behrendt, Holger Mielenz, Igor Gilitschenski, Roland Siegwart, Juan Nieto (2016). A Data-Driven Approach for Pedestrian Intention Estimation. ITSC.

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Marcin Dymczyk, Elena Stumm, Juan Nieto, Roland Siegwart, Igor Gilitschenski (2016). Will it last? Learning Stable Features for Long-Term Visual Localization. 3DV.

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Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Amir Melzer, Thomas Mantel, Roland Siegwart, Igor Gilitschenski (2016). Robust Map Generation for Fixed-Wing UAVs with Low-Cost Highly-Oblique Monocular Cameras. IROS.

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Michael Burri, Michael Blösch, Dominik Schindler, Igor Gilitschenski, Zachary Taylor, Roland Siegwart (2016). Generalized Information Filtering for MAV Parameter Estimation. IROS.

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Marcin Dymczyk, Thomas Schneider, Igor Gilitschenski, Roland Siegwart, Elena Stumm (2016). Erasing Bad Memories: Agent-Side Summarization for Long-Term Mapping. IROS.

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Matthias Bürki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, Juan Nieto (2016). Appearance-Based Landmark Selection for Efficient Long-Term Visual Localization. IROS.

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Timo Hinzmann, Thomas Stastny, Gianpaolo Conte, Patrick Doherty, Piotr Rudol, Marius Wzorek, Enric Galceran, Roland Siegwart, Igor Gilitschenski (2016). Collaborative 3D Reconstruction using Heterogeneous UAVs: System and Experiments. ISER.

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Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck, Roland Siegwart (2016). Optimal Quantization of Circular Distributions. Fusion.

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Janosch Nikolic, Michael Burri, Igor Gilitschenski, Juan Nieto, Roland Siegwart (2016). Non-Parametric Extrinsic and Intrinsic Calibration of Visual-Inertial Sensor Systems. IEEE Sensors.

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Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck (2016). Unscented von Mises-Fisher Filtering. IEEE Signal Processing Letters.

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Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck (2016). Recursive Bayesian Filtering in Circular State Spaces. IEEE Aerospace and Electronic Systems Magazine.

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Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck (2016). Unscented Orientation Estimation Based on the Bingham Distribution. IEEE Transactions on Automatic Control.

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Nicole Bäuerle, Igor Gilitschenski, Uwe Hanebeck (2015). Exact and Approximate Hidden Markov Chain Filters Based on Discrete Observations. Statistics & Risk Modelling (SRM).

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Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck (2015). A Stochastic Filter for Planar Rigid-Body Motions. MFI.

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Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck (2015). Non-Identity Measurement Models for Orientation Estimation Based on Directional Statistics. Fusion.

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Gerhard Kurz, Igor Gilitschenski, Maxim Dolgov, Uwe D. Hanebeck (2014). Bivariate Angular Estimation Under Consideration of Dependencies Using Directional Statistics. CDC.

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Gerhard Kurz, Igor Gilitschenski, Simon J. Julier, Uwe D. Hanebeck (2014). Recursive Bingham Filter for Directional Estimation Involving 180 Degree Symmetry. Journal of Advances in Information Fusion.

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Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck (2014). Efficient Evaluation of the Probability Density Function of a Wrapped Normal Distribution. SDF.

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Igor Gilitschenski, Uwe D. Hanebeck (2014). A Direct Method for Checking Overlap of Two Hyperellipsoids. SDF.

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Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck (2014). The Partially Wrapped Normal Distribution for SE(2) Estimation. MFI.

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Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck (2014). Efficient Bingham Filtering based on Saddlepoint Approximations. MFI.

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Igor Gilitschenski, Jannik Steinbring, Uwe D. Hanebeck, Miroslav Simandl (2014). Deterministic Dirac Mixture Approximation of Gaussian Mixtures. Fusion.

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Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck (2014). Deterministic Approximation of Circular Densities with Symmetric Dirac Mixtures Based on Two Circular Moments. Fusion.

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Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck (2014). A New Probability Distribution for Simultaneous Representation of Uncertain Position and Orientation. Fusion.

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Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck (2014). Nonlinear Measurement Update for Estimation of Angular Systems Based on Circular Distributions. ACC.

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Gerhard Kurz, Igor Gilitschenski, Simon J. Julier, Uwe D. Hanebeck (2013). Recursive Estimation of Orientation Based on the Bingham Distribution. Fusion.

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Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck (2013). Bearings-Only Sensor Scheduling Using Circular Statistics. Fusion.

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Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck (2013). Recursive Nonlinear Filtering for Angular Data Based on Circular Distributions. ACC.

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Igor Gilitschenski, Uwe D. Hanebeck (2013). Efficient Deterministic Dirac Mixture Approximation. ACC.

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Igor Gilitschenski, Uwe D. Hanebeck (2012). A Robust Computational Test for Overlap of Two Arbitrary-dimensional Ellipsoids in Fault-Detection of Kalman Filters. Fusion.

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