Igor Gilitschenski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
12
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion. | Kai He, Chin-Hsuan Wu, Igor Gilitschenski |
| 2025 | CVPR | Pippo: High-Resolution Multi-View Humans from a Single Image. | Yash Kant, Ethan Weber, Jin Kyu Kim, Rawal Khirodkar, Su Zhaoen, Julieta Martinez, Igor Gilitschenski, Shunsuke Saito, Timur M. Bagautdinov |
| 2025 | CVPR | Mind the Time: Temporally-Controlled Multi-Event Video Generation. | Ziyi Wu, Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov, Yuwei Fang, Varnith Chordia, Igor Gilitschenski, Sergey Tulyakov |
| 2025 | CVPR | EventSplat: 3D Gaussian Splatting from Moving Event Cameras for Real-time Rendering. | Toshiya Yura, Ashkan Mirzaei, Igor Gilitschenski |
| 2025 | ICCV | TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras. | Mohammad Mohammadi, Ziyi Wu, Igor Gilitschenski |
| 2025 | ICLR | SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation. | Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David B. Lindell |
| 2025 | ICLR | MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL. | Claas Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski |
| 2025 | ICML | Calibrated Value-Aware Model Learning with Probabilistic Environment Models. | Claas Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-massoud Farahmand |
| 2025 | IROS | MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning. | Mohammad Mohammadi, Daniel Honerkamp, Martin Bchner, Matteo Cassinelli, Tim Welschehold, Fabien Despinoy, Igor Gilitschenski, Abhinav Valada |
| 2025 | IROS | AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework. | Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten |
| 2025 | IROS | Delving into Mapping Uncertainty for Mapless Trajectory Prediction. | 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 | WACV | Towards Unsupervised Blind Face Restoration Using Diffusion Prior. | Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein |
| 2024 | CVPR | Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. | Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic |
| 2024 | CVPR | SPAD: Spatially Aware Multi-View Diffusers. | Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Gler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski |
| 2024 | CVPR | LEOD: Label-Efficient Object Detection for Event Cameras. | Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski |
| 2024 | ECCV | Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. | Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic |
| 2024 | ECCV | Watch Your Steps: Local Image and Scene Editing by Text Instructions. | Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski |
| 2024 | WACV | AvatarOne: Monocular 3D Human Animation. | Akash Karthikeyan, Robert Ren, Yash Kant, Igor Gilitschenski |
| 2023 | CoRL | Geometry Matching for Multi-Embodiment Grasping. | Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson |
| 2023 | CoRL | Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. | Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus |
| 2023 | CVPR | Invertible Neural Skinning. | Yash Kant, Aliaksandr Siarohin, Riza Alp Gler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski |
| 2023 | CVPR | CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos. | Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski |
| 2023 | CVPR | SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. | Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein |
| 2023 | CVPR | SparsePose: Sparse-View Camera Pose Regression and Refinement. | Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell |
| 2023 | ICCV | Reference-guided Controllable Inpainting of Neural Radiance Fields. | Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski |
| 2023 | ICLR | Solving Continuous Control via Q-learning. | Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier |
| 2023 | SiggraphA | Repurposing Diffusion Inpainters for Novel View Synthesis. | Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Gler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski |
| 2022 | ECCV | Housekeep: Tidying Virtual Households Using Commonsense Reasoning. | Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal |
| 2022 | ECCV | LaTeRF: Label and Text Driven Object Radiance Fields. | Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski |
| 2022 | ICRA | VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. | Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus |
| 2022 | ICRA | A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. | Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus |
| 2022 | ICRA | HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. | Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams |
| 2022 | ICRA | Learning Interactive Driving Policies via Data-driven Simulation. | Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus |
| 2021 | CoRL | Strength Through Diversity: Robust Behavior Learning via Mixture Policies. | Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus |
| 2020 | CoRL | Differentiable Logic Layer for Rule Guided Trajectory Prediction. | Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus |
| 2020 | CoRL | Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. | Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus |
| 2020 | ICLR | Deep Orientation Uncertainty Learning based on a Bingham Loss. | Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus |
| 2020 | IROS | Exploiting Semantic and Public Prior Information in MonoSLAM. | Chenxi Ye, Yiduo Wang, Ziwen Lu, Igor Gilitschenski, Martin P. Parsley, Simon J. Julier |
| 2019 | ICLR | Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. | Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus |
| 2019 | IROS | Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. | Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus |
| 2018 | IROS | LandmarkBoost: Efficient visualContext Classifiers for Robust Localization. | Marcin Dymczyk, Igor Gilitschenski, Juan I. Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart |
| 2017 | ICRA | TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery. | Marius Fehr, Fadri Furrer, Ivan Dryanovski, Jrgen Sturm, Igor Gilitschenski, Roland Siegwart, Cesar Cadena |
| 2017 | ICRA | Efficient descriptor learning for large scale localization. | Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski, Roland Siegwart |
| 2017 | ICRA | Map quality evaluation for visual localization. | Hamza Merzic, Elena Stumm, Marcin Dymczyk, Roland Siegwart, Igor Gilitschenski |
| 2017 | IROS | A low-cost system for high-rate, high-accuracy temporal calibration for LIDARs and cameras. | Hannes Sommer, Raghav Khanna, Igor Gilitschenski, Zachary Taylor, Roland Siegwart, Juan I. Nieto |
| 2017 | IROS | Onboard real-time dense reconstruction of large-scale environments for UAV. | Anurag Sai Vempati, Igor Gilitschenski, Juan I. Nieto, Paul A. Beardsley, Roland Siegwart |
| 2017 | ICRA | Visual-inertial self-calibration on informative motion segments. | Thomas Schneider, Mingyang Li, Michael Burri, Juan I. Nieto, Roland Siegwart, Igor Gilitschenski |
| 2016 | FUSION | Optimal quantization of circular distributions. | Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck, Roland Siegwart |
| 2016 | IROS | Appearance-based landmark selection for efficient long-term visual localization. | Mathias Brki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, Juan I. Nieto |
| 2016 | IROS | Generalized information filtering for MAV parameter estimation. | Michael Burri, Michael Bloesch, Dominik Schindler, Igor Gilitschenski, Zachary Taylor, Roland Siegwart |
| 2016 | IROS | Erasing bad memories: Agent-side summarization for long-term mapping. | Marcin Dymczyk, Thomas Schneider, Igor Gilitschenski, Roland Siegwart, Elena Stumm |
| 2016 | IROS | Robust map generation for fixed-wing UAVs with low-cost highly-oblique monocular cameras. | Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Amir Melzer, Thomas Mantel, Roland Siegwart, Igor Gilitschenski |
| 2016 | ISVC | Monocular Visual-Inertial SLAM for Fixed-Wing UAVs Using Sliding Window Based Nonlinear Optimization. | Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Andreas Schaffner, Simon Lynen, Roland Siegwart, Igor Gilitschenski |
| 2015 | FUSION | Non-identity measurement models for orientation estimation based on directional statistics. | Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck |
| 2014 | FUSION | A new probability distribution for simultaneous representation of uncertain position and orientation. | Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck |
| 2014 | FUSION | Deterministic Dirac mixture approximation of Gaussian mixtures. | Igor Gilitschenski, Jannik Steinbring, Uwe D. Hanebeck, Miroslav Simandl |
| 2014 | FUSION | Deterministic approximation of circular densities with symmetric Dirac mixtures based on two circular moments. | Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck |
| 2013 | FUSION | Bearings-only sensor scheduling using circular statistics. | Igor Gilitschenski, Gerhard Kurz, Uwe D. Hanebeck |
| 2013 | FUSION | Recursive estimation of orientation based on the Bingham distribution. | Gerhard Kurz, Igor Gilitschenski, Simon Julier, Uwe D. Hanebeck |
| 2012 | FUSION | A robust computational test for overlap of two arbitrary-dimensional ellipsoids in fault-detection of Kalman filters. | Igor Gilitschenski, Uwe D. Hanebeck |