Igor Gilitschenski

Orcid: 0000-0001-6426-365X

Affiliations:
  • University of Toronto, ON, Canada


According to our database1, Igor Gilitschenski authored at least 120 papers between 2012 and 2024.

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Bibliography

2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL.
CoRR, 2024

Towards Unsupervised Blind Face Restoration using Diffusion Prior.
CoRR, 2024

Realistic Evaluation of Model Merging for Compositional Generalization.
CoRR, 2024

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.
CoRR, 2024

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models.
CoRR, 2024

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting.
CoRR, 2024

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.
CoRR, 2024

Dissecting Deep RL with High Update Ratios: Combatting Value Overestimation and Divergence.
CoRR, 2024

SPAD : Spatially Aware Multiview Diffusers.
CoRR, 2024

AToM: Amortized Text-to-Mesh using 2D Diffusion.
CoRR, 2024

AvatarOne: Monocular 3D Human Animation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning.
RLJ, 2024

Dissecting Deep RL with High Update Ratios: Combatting Value Divergence.
RLJ, 2024

Watch Your Steps: Local Image and Scene Editing by Text Instructions.
Proceedings of the Computer Vision - ECCV 2024, 2024

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

LEOD: Label-Efficient Object Detection for Event Cameras.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SPAD: Spatially Aware Multi-View Diffusers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather.
Int. J. Robotics Res., September, 2023

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving.
IEEE Robotics Autom. Lett., 2023

Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations.
CoRR, 2023

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis.
CoRR, 2023

λ-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces.
CoRR, 2023

EventCLIP: Adapting CLIP for Event-based Object Recognition.
CoRR, 2023

Building Scalable Video Understanding Benchmarks through Sports.
CoRR, 2023

Repurposing Diffusion Inpainters for Novel View Synthesis.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

trajdata: A Unified Interface to Multiple Human Trajectory Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Solving Continuous Control via Q-learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Reference-guided Controllable Inpainting of Neural Radiance Fields.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SparsePose: Sparse-View Camera Pose Regression and Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Invertible Neural Skinning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation.
Proceedings of the Conference on Robot Learning, 2023

Geometry Matching for Multi-Embodiment Grasping.
Proceedings of the Conference on Robot Learning, 2023

2022
Sensitivity-Informed Provable Pruning of Neural Networks.
SIAM J. Math. Data Sci., 2022

MapLite 2.0: Online HD Map Inference Using a Prior SD Map.
IEEE Robotics Autom. Lett., 2022

Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN).
IEEE Robotics Autom. Lett., 2022

See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction.
CoRR, 2022

Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Learning Interactive Driving Policies via Data-driven Simulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

LaTeRF: Label and Text Driven Object Radiance Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022

Housekeep: Tidying Virtual Households Using Commonsense Reasoning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features.
IEEE Robotics Autom. Lett., 2021

GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Strength Through Diversity: Robust Behavior Learning via Mixture Policies.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map.
IEEE Robotics Autom. Lett., 2020

Autonomous Navigation in Inclement Weather Based on a Localizing Ground Penetrating Radar.
IEEE Robotics Autom. Lett., 2020

Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps.
IEEE Robotics Autom. Lett., 2020

Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation.
IEEE Robotics Autom. Lett., 2020

Exploiting Semantic and Public Prior Information in MonoSLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Deep Orientation Uncertainty Learning based on a Bingham Loss.
Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space.
Proceedings of the 4th Conference on Robot Learning, 2020

Differentiable Logic Layer for Rule Guided Trajectory Prediction.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Inferring Pedestrian Motions at Urban Crosswalks.
IEEE Trans. Intell. Transp. Syst., 2019

Probabilistic Risk Metrics for Navigating Occluded Intersections.
IEEE Robotics Autom. Lett., 2019

Appearance-based landmark selection for visual localization.
J. Field Robotics, 2019

Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps.
CoRR, 2019

SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks.
CoRR, 2019

Range-based Cooperative Localization with Nonlinear Observability Analysis.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Infrastructure-free NLoS Obstacle Detection for Autonomous Cars.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
The Voliro Omniorientational Hexacopter: An Agile and Maneuverable Tiltable-Rotor Aerial Vehicle.
IEEE Robotics Autom. Mag., 2018

Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization.
IEEE Robotics Autom. Lett., 2018

Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes.
IEEE Robotics Autom. Lett., 2018

Incremental-Segment-Based Localization in 3-D Point Clouds.
IEEE Robotics Autom. Lett., 2018

LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization.
CoRR, 2018

Learning 3D Segment Descriptors for Place Recognition.
CoRR, 2018

Why and How to Avoid the Flipped Quaternion Multiplication.
CoRR, 2018

Voliro: An Omnidirectional Hexacopter With Tiltable Rotors.
CoRR, 2018

Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees.
Proceedings of the Robotics: Science and Systems XIV, 2018

Map Management for Efficient Long-Term Visual Localization in Outdoor Environments.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

LandmarkBoost: Efficient visualContext Classifiers for Robust Localization.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Directional Statistics and Filtering Using libDirectional.
CoRR, 2017

Onboard real-time dense reconstruction of large-scale environments for UAV.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A low-cost system for high-rate, high-accuracy temporal calibration for LIDARs and cameras.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Visual-inertial self-calibration on informative motion segments.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Map quality evaluation for visual localization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Efficient descriptor learning for large scale localization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Evaluation of Combined Time-Offset Estimation and Hand-Eye Calibration on Robotic Datasets.
Proceedings of the Field and Service Robotics, 2017

Gone with the wind: Nonlinear guidance for small fixed-wing aircraft in arbitrarily strong windfields.
Proceedings of the 2017 American Control Conference, 2017

2016
Deterministic Sampling for Nonlinear Dynamic State Estimation.
PhD thesis, 2016

Unscented Orientation Estimation Based on the Bingham Distribution.
IEEE Trans. Autom. Control., 2016

Unscented von Mises-Fisher Filtering.
IEEE Signal Process. Lett., 2016

Robust Estimation and Applications in Robotics.
Found. Trends Robotics, 2016

Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircrafts in Arbitrarily Strong Windfields.
CoRR, 2016

A data-driven approach for pedestrian intention estimation.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Monocular Visual-Inertial SLAM for Fixed-Wing UAVs Using Sliding Window Based Nonlinear Optimization.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Collaborative 3D Reconstruction Using Heterogeneous UAVs: System and Experiments.
Proceedings of the International Symposium on Experimental Robotics, 2016

Robust map generation for fixed-wing UAVs with low-cost highly-oblique monocular cameras.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Erasing bad memories: Agent-side summarization for long-term mapping.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Generalized information filtering for MAV parameter estimation.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Appearance-based landmark selection for efficient long-term visual localization.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Optimal quantization of circular distributions.
Proceedings of the 19th International Conference on Information Fusion, 2016

Will It Last? Learning Stable Features for Long-Term Visual Localization.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
Recursive Bayesian Filtering in Circular State Spaces.
CoRR, 2015

A stochastic filter for planar rigid-body motions.
Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2015

Non-identity measurement models for orientation estimation based on directional statistics.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Efficient Evaluation of the Probability Density Function of a Wrapped Normal Distribution.
CoRR, 2014

Exact and Approximate Hidden Markov Chain Filters Based on Discrete Observations.
CoRR, 2014

The partially wrapped normal distribution for SE(2) estimation.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Efficient Bingham filtering based on saddlepoint approximations.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Deterministic approximation of circular densities with symmetric Dirac mixtures based on two circular moments.
Proceedings of the 17th International Conference on Information Fusion, 2014

Deterministic Dirac mixture approximation of Gaussian mixtures.
Proceedings of the 17th International Conference on Information Fusion, 2014

A new probability distribution for simultaneous representation of uncertain position and orientation.
Proceedings of the 17th International Conference on Information Fusion, 2014

Estimation and Scheduling in Sensor-Networks Involving Periodic Data.
Proceedings of the 8th Joint Workshop of the German Research Training Groups in Computer Science, 2014

Bivariate angular estimation under consideration of dependencies using directional statistics.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Nonlinear measurement update for estimation of angular systems based on circular distributions.
Proceedings of the American Control Conference, 2014

2013
Recursive estimation of orientation based on the Bingham distribution.
Proceedings of the 16th International Conference on Information Fusion, 2013

Bearings-only sensor scheduling using circular statistics.
Proceedings of the 16th International Conference on Information Fusion, 2013

Recursive nonlinear filtering for angular data based on circular distributions.
Proceedings of the American Control Conference, 2013

Efficient deterministic dirac mixture approximation of Gaussian distributions.
Proceedings of the American Control Conference, 2013

2012
A robust computational test for overlap of two arbitrary-dimensional ellipsoids in fault-detection of Kalman filters.
Proceedings of the 15th International Conference on Information Fusion, 2012


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