Igor Gilitschenski

40 papers · 2018–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (59) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (7) 🤝 Dynamic Duo (11) 🧬 Topic Evolution 💎 Century Club (40) 📈 Trend Setter ❓ The Questioner ⚡ Prolific Year (9) 🗃️ Keyword Collector (184) 🔥 Unstoppable (8)

Conferences

CVPR (10) CORL (6) NIPS (6) ICLR (5) ECCV (4) RSS (3) ICCV (2) WACV (2) ICML (1) L4DC (1)

Top co-authors

Daniela Rus (11) Yash Kant (7) Ziyi Wu (7) Wilko Schwarting (7) Ashkan Mirzaei (6) Sertac Karaman (6) Tim Seyde (6) Boris Ivanovic (5) Marco Pavone (5) Jonathan Kelly (4)

Keywords

3d reconstruction (5) diffusion model (4) neural radiance field (4) gaussian splatting (3) image generation (3) continuous control (3) view synthesis (3) 3d gaussian splatting (3) novel view synthesis (3) autonomous vehicle (3) event camera (3) 3d consistency (2) multiview segmentation (2) trajectory prediction (2) multi-view generation (2) domain adaptation (1) sim-to-real transfer (1) reinforcement learning (1) imitation learning (1) contrastive learning (1)

Papers

Towards Unsupervised Blind Face Restoration using Diffusion Prior WACV 2025

Pseudo-Simulation for Autonomous Driving CORL 2025

EventSplat: 3D Gaussian Splatting from Moving Event Cameras for Real-time Rendering CVPR 2025

Pippo: High-Resolution Multi-View Humans from a Single Image CVPR 2025

Mind the Time: Temporally-Controlled Multi-Event Video Generation CVPR 2025

CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion CVPR 2025

TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras ICCV 2025

MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL ICLR 2025

SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation ICLR 2025

Calibrated Value-Aware Model Learning with Probabilistic Environment Models ICML 2025

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

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking NIPS 2024

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention ECCV 2024

Watch Your Steps: Local Image and Scene Editing by Text Instructions ECCV 2024

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers RSS 2024

SPAD: Spatially Aware Multi-View Diffusers CVPR 2024

LEOD: Label-Efficient Object Detection for Event Cameras CVPR 2024

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024

AvatarOne: Monocular 3D Human Animation WACV 2024

GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting NIPS 2024

Geometry Matching for Multi-Embodiment Grasping CORL 2023

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields CVPR 2023

Invertible Neural Skinning CVPR 2023

SparsePose: Sparse-View Camera Pose Regression and Refinement CVPR 2023

Reference-guided Controllable Inpainting of Neural Radiance Fields ICCV 2023

Solving Continuous Control via Q-learning ICLR 2023

trajdata: A Unified Interface to Multiple Human Trajectory Datasets NIPS 2023

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models NIPS 2023

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation CORL 2023

Housekeep: Tidying Virtual Households Using Commonsense Reasoning ECCV 2022

LaTeRF: Label and Text Driven Object Radiance Fields ECCV 2022

Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NIPS 2021

Strength Through Diversity: Robust Behavior Learning via Mixture Policies CORL 2021

GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset RSS 2021

Deep Orientation Uncertainty Learning based on a Bingham Loss ICLR 2020

Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space CORL 2020

Differentiable Logic Layer for Rule Guided Trajectory Prediction CORL 2020

Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds ICLR 2019

Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees RSS 2018