Igor Gilitschenski

194 papers A* 31A 14B 1C 12Misc 5Journal 108Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset. CoRR Royden Wagner, Ömer Sahin Tas, Jaime Villa, Felix Hauser, Yinzhe Shen, Marlon Steiner, Dominik Strutz, Carlos Fernández, Christian Kinzig, Guillermo S. Guitierrez-Cabello, Hendrik Königshof, Fabian Immel, Richard Schwarzkopf, Nils Alexander Rack, Kevin Rösch, Kaiwen Wang, Jan-Hendrik Pauls, Martin Lauer, Igor Gilitschenski, Holger Caesar, Christoph Stiller
2026	J	`jnl`	Material Magic Wand: Material-Aware Grouping of 3D Parts in Untextured Meshes. CoRR Umangi Jain, Vladimir G. Kim, Matheus Gadelha, Igor Gilitschenski, Zhiqin Chen
2026	J	`jnl`	The Impact of Class Uncertainty Propagation in Perception-Based Motion Planning. CoRR Jibran Iqbal Shah, Andrei Ivanovic, Kelly Zhu, Masha Itkina, Rowan McAllister, Igor Gilitschenski, Florian Shkurti
2026	J	`jnl`	Update-Free On-Policy Steering via Verifiers. CoRR Maria Attarian, Ian Vyse, Claas Voelcker, Jasper Gerigk, Evgenii Opryshko, Anas Almasri, Sumeet Singh, Yilun Du, Igor Gilitschenski
2025	A	`conf`	AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework. IROS Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten
2025	J	`jnl`	AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework. CoRR Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten
2025	J	`jnl`	Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation. CoRR Xihang Yu, Rajat Talak, Jingnan Shi, Ulrich Viereck, Igor Gilitschenski, Luca Carlone
2025	A*	`conf`	CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion. CVPR Kai He, Chin-Hsuan Wu, Igor Gilitschenski
2025	A*	`conf`	Calibrated Value-Aware Model Learning with Probabilistic Environment Models. ICML Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2025	J	`jnl`	Calibrated Value-Aware Model Learning with Stochastic Environment Models. CoRR Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2025	A	`conf`	Delving into Mapping Uncertainty for Mapless Trajectory Prediction. IROS Zongzheng Zhang, Xuchong Qiu, Boran Zhang, Guantian Zheng, Xunjiang Gu, Guoxuan Chi, Huan-ang Gao, Leichen Wang, Ziming Liu, Xinrun Li, Igor Gilitschenski, Hongyang Li, Hang Zhao, Hao Zhao
2025	J	`jnl`	Delving into Mapping Uncertainty for Mapless Trajectory Prediction. CoRR Zongzheng Zhang, Xuchong Qiu, Boran Zhang, Guantian Zheng, Xunjiang Gu, Guoxuan Chi, Huan-ang Gao, Leichen Wang, Ziming Liu, Xinrun Li, Igor Gilitschenski, Hongyang Li, Hang Zhao, Hao Zhao
2025	J	`jnl`	DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models. CoRR Ziyi Wu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ashkan Mirzaei, Igor Gilitschenski, Sergey Tulyakov, Aliaksandr Siarohin
2025	A*	`conf`	EventSplat: 3D Gaussian Splatting from Moving Event Cameras for Real-time Rendering. CVPR Toshiya Yura, Ashkan Mirzaei, Igor Gilitschenski
2025	J	`jnl`	LuxDiT: Lighting Estimation with Video Diffusion Transformer. CoRR Ruofan Liang, Kai He, Zan Gojcic, Igor Gilitschenski, Sanja Fidler, Nandita Vijaykumar, Zian Wang
2025	A*	`conf`	MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. ICLR Claas Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski
2025	A	`conf`	MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning. IROS Mohammad Mohammadi, Daniel Honerkamp, Martin Büchner, Matteo Cassinelli, Tim Welschehold, Fabien Despinoy, Igor Gilitschenski, Abhinav Valada
2025	J	`jnl`	MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning. CoRR Mohammad Mohammadi, Daniel Honerkamp, Martin Büchner, Matteo Cassinelli, Tim Welschehold, Fabien Despinoy, Igor Gilitschenski, Abhinav Valada
2025	A*	`conf`	Mind the Time: Temporally-Controlled Multi-Event Video Generation. CVPR Ziyi Wu, Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov, Yuwei Fang, Varnith Chordia, Igor Gilitschenski, Sergey Tulyakov
2025	A*	`conf`	Pippo: High-Resolution Multi-View Humans from a Single Image. CVPR Yash Kant, Ethan Weber, Jin Kyu Kim, Rawal Khirodkar, Su Zhaoen, Julieta Martinez, Igor Gilitschenski, Shunsuke Saito, Timur M. Bagautdinov
2025	J	`jnl`	Pippo: High-Resolution Multi-View Humans from a Single Image. CoRR Yash Kant, Ethan Weber, Jin Kyu Kim, Rawal Khirodkar, Su Zhaoen, Julieta Martinez, Igor Gilitschenski, Shunsuke Saito, Timur M. Bagautdinov
2025	J	`jnl`	Pseudo-Simulation for Autonomous Driving. CoRR Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2025	J	`jnl`	Relative Entropy Pathwise Policy Optimization. CoRR Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Eric Eaton, Radu Grosu, Amir-massoud Farahmand, Igor Gilitschenski
2025	J	`jnl`	S CoRR Xudong Liu, Zikun Chen, Ruowei Jiang, Ziyi Wu, Kejia Yin, Han Zhao, Parham Aarabi, Igor Gilitschenski
2025	J	`jnl`	SAFE: Multitask Failure Detection for Vision-Language-Action Models. CoRR Qiao Gu, Yuanliang Ju, Shengxiang Sun, Igor Gilitschenski, Haruki Nishimura, Masha Itkina, Florian Shkurti
2025	A*	`conf`	SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation. ICLR Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David B. Lindell
2025	J	`jnl`	TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras. CoRR Mohammad Mohammadi, Ziyi Wu, Igor Gilitschenski
2025	J	`jnl`	Test-Time Graph Search for Goal-Conditioned Reinforcement Learning. CoRR Evgenii Opryshko, Junwei Quan, Claas Voelcker, Yilun Du, Igor Gilitschenski
2025	A	`conf`	Towards Unsupervised Blind Face Restoration Using Diffusion Prior. WACV Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein
2025	J	`jnl`	Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling. CoRR Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski
2025	J	`jnl`	UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting. CoRR Kai He, Ruofan Liang, Jacob Munkberg, Jon Hasselgren, Nandita Vijaykumar, Alexander Keller, Sanja Fidler, Igor Gilitschenski, Zan Gojcic, Zian Wang
2025	J	`jnl`	VibES: Induced Vibration for Persistent Event-Based Sensing. CoRR Vincenzo Polizzi, Stephen Yang, Quentin Clark, Jonathan Kelly, Igor Gilitschenski, David B. Lindell
2024	J	`jnl`	AToM: Amortized Text-to-Mesh using 2D Diffusion. CoRR Guocheng Qian, Junli Cao, Aliaksandr Siarohin, Yash Kant, Chaoyang Wang, Michael Vasilkovsky, Hsin-Ying Lee, Yuwei Fang, Ivan Skorokhodov, Peiye Zhuang, Igor Gilitschenski, Jian Ren, Bernard Ghanem, Kfir Aberman, Sergey Tulyakov
2024	—	`conf`	Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. ECCV (81) Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic
2024	J	`jnl`	Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. CoRR Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic
2024	A	`conf`	AvatarOne: Monocular 3D Human Animation. WACV Akash Karthikeyan, Robert Ren, Yash Kant, Igor Gilitschenski
2024	J	`jnl`	CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion. CoRR Kai He, Chin-Hsuan Wu, Igor Gilitschenski
2024	J	`jnl`	Dissecting Deep RL with High Update Ratios: Combatting Value Divergence. RLJ Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton
2024	J	`jnl`	Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence. CoRR Marcel Hussing, Claas Voelcker, Igor Gilitschenski, Amir-massoud Farahmand, Eric Eaton
2024	J	`jnl`	EventSplat: 3D Gaussian Splatting from Moving Event Cameras for Real-time Rendering. CoRR Toshiya Yura, Ashkan Mirzaei, Igor Gilitschenski
2024	J	`jnl`	Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos. CoRR Hanxue Liang, Jiawei Ren, Ashkan Mirzaei, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Öztireli, Huan Ling, Zan Gojcic, Jiahui Huang
2024	A*	`conf`	GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting. NeurIPS Umangi Jain, Ashkan Mirzaei, Igor Gilitschenski
2024	J	`jnl`	GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting. CoRR Umangi Jain, Ashkan Mirzaei, Igor Gilitschenski
2024	J	`jnl`	GeoMatch++: Morphology Conditioned Geometry Matching for Multi-Embodiment Grasping. CoRR Yunze Wei, Maria Attarian, Igor Gilitschenski
2024	A*	`conf`	LEOD: Label-Efficient Object Detection for Event Cameras. CVPR Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski
2024	J	`jnl`	MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. CoRR Claas Völcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski
2024	J	`jnl`	Mind the Time: Temporally-Controlled Multi-Event Video Generation. CoRR Ziyi Wu, Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov, Yuwei Fang, Varnith Chordia, Igor Gilitschenski, Sergey Tulyakov
2024	A*	`conf`	NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. NeurIPS Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2024	J	`jnl`	NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. CoRR Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2024	A*	`conf`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. NeurIPS Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	A*	`conf`	Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CVPR Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic
2024	J	`jnl`	Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CoRR Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic
2024	J	`jnl`	Realistic Evaluation of Model Merging for Compositional Generalization. CoRR Derek Tam, Yash Kant, Brian Lester, Igor Gilitschenski, Colin Raffel
2024	J	`jnl`	RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting. CoRR Ashkan Mirzaei, Riccardo de Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic
2024	J	`jnl`	SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation. CoRR Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David B. Lindell
2024	J	`jnl`	SPAD : Spatially Aware Multiview Diffusers. CoRR Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin
2024	A*	`conf`	SPAD: Spatially Aware Multi-View Diffusers. CVPR Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski
2024	J	`jnl`	Towards Unsupervised Blind Face Restoration using Diffusion Prior. CoRR Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein
2024	—	`conf`	Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. Robotics: Science and Systems Vidhi Jain, Maria Attarian, Nikhil J. Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R. Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, Igor Gilitschenski, Yonatan Bisk, Debidatta Dwibedi
2024	J	`jnl`	Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. CoRR Vidhi Jain, Maria Attarian, Nikhil J. Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R. Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, Igor Gilitschenski, Yonatan Bisk, Debidatta Dwibedi
2024	—	`conf`	Watch Your Steps: Local Image and Scene Editing by Text Instructions. ECCV (38) Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2024	J	`jnl`	When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. RLJ Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
2024	J	`jnl`	When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning. CoRR Claas Voelcker, Tyler Kastner, Igor Gilitschenski, Amir-massoud Farahmand
2023	J	`jnl`	Building Scalable Video Understanding Benchmarks through Sports. CoRR Aniket Agarwal, Alex Zhang, Karthik Narasimhan, Igor Gilitschenski, Vishvak Murahari, Yash Kant
2023	—	`conf`	CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. CVPR Workshops Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski
2023	J	`jnl`	CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. CoRR Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski
2023	Misc	`conf`	Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
2023	J	`jnl`	EventCLIP: Adapting CLIP for Event-based Object Recognition. CoRR Ziyi Wu, Xudong Liu, Igor Gilitschenski
2023	J	`jnl`	GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather. Int. J. Robotics Res. Teddy Ort, Igor Gilitschenski, Daniela Rus
2023	Misc	`conf`	Geometry Matching for Multi-Embodiment Grasping. CoRL Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
2023	J	`jnl`	Geometry Matching for Multi-Embodiment Grasping. CoRR Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
2023	A*	`conf`	Invertible Neural Skinning. CVPR Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
2023	J	`jnl`	Invertible Neural Skinning. CoRR Yash Kant, Aliaksandr Siarohin, Riza Alp Güler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
2023	J	`jnl`	LEOD: Label-Efficient Object Detection for Event Cameras. CoRR Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski
2023	J	`jnl`	Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
2023	J	`jnl`	Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. IEEE Robotics Autom. Lett. Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
2023	J	`jnl`	Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. CoRR Tristan Aumentado-Armstrong, Ashkan Mirzaei, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	A*	`conf`	Reference-guided Controllable Inpainting of Neural Radiance Fields. ICCV Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	J	`jnl`	Reference-guided Controllable Inpainting of Neural Radiance Fields. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	A*	`conf`	Repurposing Diffusion Inpainters for Novel View Synthesis. SIGGRAPH Asia Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
2023	A*	`conf`	SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CVPR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
2023	A*	`conf`	SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. NeurIPS Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
2023	J	`jnl`	SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. CoRR Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
2023	A*	`conf`	Solving Continuous Control via Q-learning. ICLR Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
2023	A*	`conf`	SparsePose: Sparse-View Camera Pose Regression and Refinement. CVPR Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
2023	J	`jnl`	Watch Your Steps: Local Image and Scene Editing by Text Instructions. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
2023	J	`jnl`	iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis. CoRR Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Güler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
2023	A*	`conf`	trajdata: A Unified Interface to Multiple Human Trajectory Datasets. NeurIPS Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone
2023	J	`jnl`	trajdata: A Unified Interface to Multiple Human Trajectory Datasets. CoRR Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone
2023	J	`jnl`	λ-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces. CoRR Claas Voelcker, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand
2022	A*	`conf`	A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus
2022	A*	`conf`	HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2022	—	`conf`	Housekeep: Tidying Virtual Households Using Commonsense Reasoning. ECCV (39) Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
2022	J	`jnl`	Housekeep: Tidying Virtual Households using Commonsense Reasoning. CoRR Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
2022	—	`conf`	LaTeRF: Label and Text Driven Object Radiance Fields. ECCV (3) Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski
2022	J	`jnl`	LaTeRF: Label and Text Driven Object Radiance Fields. CoRR Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski
2022	A*	`conf`	Learning Interactive Driving Policies via Data-driven Simulation. ICRA Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
2022	J	`jnl`	Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus
2022	J	`jnl`	MapLite 2.0: Online HD Map Inference Using a Prior SD Map. IEEE Robotics Autom. Lett. Teddy Ort, Jeffrey M. Walls, Steven A. Parkison, Igor Gilitschenski, Daniela Rus
2022	—	`conf`	Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
2022	J	`jnl`	Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. CoRR Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
2022	J	`jnl`	SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. CoRR Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
2022	J	`jnl`	See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction. CoRR Maria Attarian, Advaya Gupta, Ziyi Zhou, Wei Yu, Igor Gilitschenski, Animesh Garg
2022	J	`jnl`	Sensitivity-Informed Provable Pruning of Neural Networks. SIAM J. Math. Data Sci. Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
2022	J	`jnl`	Solving Continuous Control via Q-learning. CoRR Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
2022	J	`jnl`	SparsePose: Sparse-View Camera Pose Regression and Refinement. CoRR Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
2022	A*	`conf`	VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
2021	J	`jnl`	Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRR Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
2021	—	`conf`	GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset. Robotics: Science and Systems Teddy Ort, Igor Gilitschenski, Daniela Rus
2021	J	`jnl`	HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2021	A*	`conf`	Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
2021	J	`jnl`	Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. CoRR Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
2021	J	`jnl`	Learning Interactive Driving Policies via Data-driven Simulation. CoRR Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
2021	Misc	`conf`	Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus
2021	J	`jnl`	VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. CoRR Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
2021	J	`jnl`	Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus
2020	J	`jnl`	Autonomous Navigation in Inclement Weather Based on a Localizing Ground Penetrating Radar. IEEE Robotics Autom. Lett. Teddy Ort, Igor Gilitschenski, Daniela Rus
2020	J	`jnl`	Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps. IEEE Robotics Autom. Lett. Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus
2020	Misc	`conf`	Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRL Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
2020	A*	`conf`	Deep Orientation Uncertainty Learning based on a Bingham Loss. ICLR Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus
2020	Misc	`conf`	Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus
2020	A	`conf`	Exploiting Semantic and Public Prior Information in MonoSLAM. IROS Chenxi Ye, Yiduo Wang, Ziwen Lu, Igor Gilitschenski, Martin P. Parsley, Simon J. Julier
2020	J	`jnl`	Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation. IEEE Robotics Autom. Lett. Alexander Amini, Igor Gilitschenski, Jacob Phillips, Julia Moseyko, Rohan Banerjee, Sertac Karaman, Daniela Rus
2020	J	`jnl`	MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. IEEE Robotics Autom. Lett. Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus
2019	J	`jnl`	Appearance-based landmark selection for visual localization. J. Field Robotics Mathias Bürki, Cesar Cadena, Igor Gilitschenski, Roland Siegwart, Juan I. Nieto
2019	—	`conf`	Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. ICLR (Poster) Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
2019	J	`jnl`	Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps. CoRR Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus
2019	J	`jnl`	Inferring Pedestrian Motions at Urban Crosswalks. IEEE Trans. Intell. Transp. Syst. Benjamin Völz, Holger Mielenz, Igor Gilitschenski, Roland Siegwart, Juan I. Nieto
2019	A	`conf`	Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. IROS Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus
2019	J	`jnl`	Probabilistic Risk Metrics for Navigating Occluded Intersections. IEEE Robotics Autom. Lett. Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard
2019	—	`conf`	Range-based Cooperative Localization with Nonlinear Observability Analysis. ITSC Brandon Araki, Igor Gilitschenski, Tatum Ogata, Alex Wallar, Wilko Schwarting, Zareen Choudhury, Sertac Karaman, Daniela Rus
2019	J	`jnl`	SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks. CoRR Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
2018	J	`jnl`	Appearance-Based Landmark Selection for Efficient Long-Term Visual Localization. CoRR Mathias Bürki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, Juan I. Nieto
2018	J	`jnl`	Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. CoRR Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
2018	J	`jnl`	Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes. CoRR Timo Hinzmann, Thomas Stastny, Cesar Cadena, Roland Siegwart, Igor Gilitschenski
2018	J	`jnl`	Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes. IEEE Robotics Autom. Lett. Timo Hinzmann, Thomas Stastny, Cesar Cadena, Roland Siegwart, Igor Gilitschenski
2018	J	`jnl`	Incremental-Segment-Based Localization in 3-D Point Clouds. IEEE Robotics Autom. Lett. Renaud Dubé, Mattia G. Gollub, Hannes Sommer, Igor Gilitschenski, Roland Siegwart, Cesar Cadena, Juan I. Nieto
2018	J	`jnl`	LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization. CoRR Marcin Dymczyk, Igor Gilitschenski, Juan I. Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart
2018	A	`conf`	LandmarkBoost: Efficient visualContext Classifiers for Robust Localization. IROS Marcin Dymczyk, Igor Gilitschenski, Juan I. Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart
2018	J	`jnl`	Learning 3D Segment Descriptors for Place Recognition. CoRR Andrei Cramariuc, Renaud Dubé, Hannes Sommer, Roland Siegwart, Igor Gilitschenski
2018	B	`conf`	Map Management for Efficient Long-Term Visual Localization in Outdoor Environments. Intelligent Vehicles Symposium Mathias Bürki, Marcin Dymczyk, Igor Gilitschenski, Cesar Cadena, Roland Siegwart, Juan I. Nieto
2018	J	`jnl`	Map Management for Efficient Long-Term Visual Localization in Outdoor Environments. CoRR Mathias Bürki, Marcin Dymczyk, Igor Gilitschenski, Cesar Cadena, Roland Siegwart, Juan I. Nieto
2018	J	`jnl`	Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization. IEEE Robotics Autom. Lett. Thomas Schneider, Marcin Dymczyk, Marius Fehr, Kevin Egger, Simon Lynen, Igor Gilitschenski, Roland Siegwart
2018	—	`conf`	Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees. Robotics: Science and Systems Lucas Liebenwein, Cenk Baykal, Igor Gilitschenski, Sertac Karaman, Daniela Rus
2018	—	`conf`	ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus
2018	J	`jnl`	The Voliro Omniorientational Hexacopter: An Agile and Maneuverable Tiltable-Rotor Aerial Vehicle. IEEE Robotics Autom. Mag. Mina Kamel, Sebastian Verling, Omar Elkhatib, Christian Sprecher, Paula Wulkop, Zachary Taylor, Roland Siegwart, Igor Gilitschenski
2018	J	`jnl`	Voliro: An Omnidirectional Hexacopter With Tiltable Rotors. CoRR Mina Kamel, Sebastian Verling, Omar Elkhatib, Christian Sprecher, Paula Wulkop, Zachary Taylor, Roland Siegwart, Igor Gilitschenski
2018	J	`jnl`	Why and How to Avoid the Flipped Quaternion Multiplication. CoRR Hannes Sommer, Igor Gilitschenski, Michael Bloesch, Stephan Weiss, Roland Siegwart, Juan I. Nieto
2017	A	`conf`	A low-cost system for high-rate, high-accuracy temporal calibration for LIDARs and cameras. IROS Hannes Sommer, Raghav Khanna, Igor Gilitschenski, Zachary Taylor, Roland Siegwart, Juan I. Nieto
2017	J	`jnl`	Directional Statistics and Filtering Using libDirectional. CoRR Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Yves Siegwart
2017	A*	`conf`	Efficient descriptor learning for large scale localization. ICRA Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski, Roland Siegwart
2017	—	`conf`	Evaluation of Combined Time-Offset Estimation and Hand-Eye Calibration on Robotic Datasets. FSR Fadri Furrer, Marius Fehr, Tonci Novkovic, Hannes Sommer, Igor Gilitschenski, Roland Siegwart
2017	C	`conf`	Gone with the wind: Nonlinear guidance for small fixed-wing aircraft in arbitrarily strong windfields. ACC Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski
2017	A*	`conf`	Map quality evaluation for visual localization. ICRA Hamza Merzic, Elena Stumm, Marcin Dymczyk, Roland Siegwart, Igor Gilitschenski
2017	A	`conf`	Onboard real-time dense reconstruction of large-scale environments for UAV. IROS Anurag Sai Vempati, Igor Gilitschenski, Juan I. Nieto, Paul A. Beardsley, Roland Siegwart
2017	A*	`conf`	TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery. ICRA Marius Fehr, Fadri Furrer, Ivan Dryanovski, Jürgen Sturm, Igor Gilitschenski, Roland Siegwart, Cesar Cadena
2017	A*	`conf`	Visual-inertial self-calibration on informative motion segments. ICRA Thomas Schneider, Mingyang Li, Michael Burri, Juan I. Nieto, Roland Siegwart, Igor Gilitschenski
2017	J	`jnl`	Visual-inertial self-calibration on informative motion segments. CoRR Thomas Schneider, Mingyang Li, Michael Burri, Juan I. Nieto, Roland Siegwart, Igor Gilitschenski
2017	J	`jnl`	maplab: An Open Framework for Research in Visual-inertial Mapping and Localization. CoRR Thomas Schneider, Marcin Dymczyk, Marius Fehr, Kevin Egger, Simon Lynen, Igor Gilitschenski, Roland Siegwart
2016	—	`conf`	A data-driven approach for pedestrian intention estimation. ITSC Benjamin Völz, Karsten Behrendt, Holger Mielenz, Igor Gilitschenski, Roland Siegwart, Juan I. Nieto
2016	A	`conf`	Appearance-based landmark selection for efficient long-term visual localization. IROS Mathias Bürki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, Juan I. Nieto
2016	—	`conf`	Collaborative 3D Reconstruction Using Heterogeneous UAVs: System and Experiments. ISER Timo Hinzmann, Thomas Stastny, Gianpaolo Conte, Patrick Doherty, Piotr Rudol, Mariusz Wzorek, Enric Galceran, Roland Siegwart, Igor Gilitschenski
2016	—	`—`	Deterministic Sampling for Nonlinear Dynamic State Estimation. Igor Gilitschenski
2016	A	`conf`	Erasing bad memories: Agent-side summarization for long-term mapping. IROS Marcin Dymczyk, Thomas Schneider, Igor Gilitschenski, Roland Siegwart, Elena Stumm
2016	A	`conf`	Generalized information filtering for MAV parameter estimation. IROS Michael Burri, Michael Bloesch, Dominik Schindler, Igor Gilitschenski, Zachary Taylor, Roland Siegwart
2016	J	`jnl`	Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircrafts in Arbitrarily Strong Windfields. CoRR Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski
2016	—	`conf`	Monocular Visual-Inertial SLAM for Fixed-Wing UAVs Using Sliding Window Based Nonlinear Optimization. ISVC (1) Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Andreas Schaffner, Simon Lynen, Roland Siegwart, Igor Gilitschenski
2016	C	`conf`	Optimal quantization of circular distributions. FUSION Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck, Roland Siegwart
2016	J	`jnl`	Robust Estimation and Applications in Robotics. Found. Trends Robotics Michael Bosse, Gabriel Agamennoni, Igor Gilitschenski
2016	A	`conf`	Robust map generation for fixed-wing UAVs with low-cost highly-oblique monocular cameras. IROS Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Amir Melzer, Thomas Mantel, Roland Siegwart, Igor Gilitschenski
2016	J	`jnl`	Unscented Orientation Estimation Based on the Bingham Distribution. IEEE Trans. Autom. Control. Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck
2016	J	`jnl`	Unscented von Mises-Fisher Filtering. IEEE Signal Process. Lett. Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck
2016	—	`conf`	Will It Last? Learning Stable Features for Long-Term Visual Localization. 3DV Marcin Dymczyk, Elena Stumm, Juan I. Nieto, Roland Siegwart, Igor Gilitschenski
2015	—	`conf`	A stochastic filter for planar rigid-body motions. MFI Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck
2015	C	`conf`	Non-identity measurement models for orientation estimation based on directional statistics. FUSION Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck
2015	J	`jnl`	Recursive Bayesian Filtering in Circular State Spaces. CoRR Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck
2014	C	`conf`	A new probability distribution for simultaneous representation of uncertain position and orientation. FUSION Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck
2014	—	`conf`	Bivariate angular estimation under consideration of dependencies using directional statistics. CDC Gerhard Kurz, Igor Gilitschenski, Maxim Dolgov, Uwe D. Hanebeck
2014	C	`conf`	Deterministic Dirac mixture approximation of Gaussian mixtures. FUSION Igor Gilitschenski, Jannik Steinbring, Uwe D. Hanebeck, Miroslav Simandl
2014	C	`conf`	Deterministic approximation of circular densities with symmetric Dirac mixtures based on two circular moments. FUSION Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck
2014	—	`conf`	Efficient Bingham filtering based on saddlepoint approximations. MFI Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck
2014	J	`jnl`	Efficient Evaluation of the Probability Density Function of a Wrapped Normal Distribution. CoRR Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck
2014	—	`conf`	Estimation and Scheduling in Sensor-Networks Involving Periodic Data. Joint Workshop of the German Research Training Groups in Computer Science Igor Gilitschenski
2014	J	`jnl`	Exact and Approximate Hidden Markov Chain Filters Based on Discrete Observations. CoRR Nicole Bäuerle, Igor Gilitschenski, Uwe D. Hanebeck
2014	C	`conf`	Nonlinear measurement update for estimation of angular systems based on circular distributions. ACC Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck
2014	—	`conf`	The partially wrapped normal distribution for SE(2) estimation. MFI Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck
2013	C	`conf`	Bearings-only sensor scheduling using circular statistics. FUSION Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck
2013	C	`conf`	Efficient deterministic dirac mixture approximation of Gaussian distributions. ACC Igor Gilitschenski, Uwe D. Hanebeck
2013	J	`jnl`	Recursive Estimation of Orientation Based on the Bingham Distribution CoRR Gerhard Kurz, Igor Gilitschenski, Simon Julier, Uwe D. Hanebeck
2013	C	`conf`	Recursive estimation of orientation based on the Bingham distribution. FUSION Gerhard Kurz, Igor Gilitschenski, Simon Julier, Uwe D. Hanebeck
2013	C	`conf`	Recursive nonlinear filtering for angular data based on circular distributions. ACC Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck
2013	J	`jnl`	Unscented Orientation Estimation Based on the Bingham Distribution. CoRR Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck
2012	C	`conf`	A robust computational test for overlap of two arbitrary-dimensional ellipsoids in fault-detection of Kalman filters. FUSION Igor Gilitschenski, Uwe D. Hanebeck