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← Authors

Sebastian Scherer

29 papers · 2015–2025 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸ‘₯ Mega-Team (37) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (139) πŸš€ Conference Pioneer πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

CVPR (7) RSS (7) CORL (5) NIPS (4) ECCV (2) ICCV (1) ICLR (1) ICML (1) IJCAI (1)

Top co-authors

Chen Wang (9) Wenshan Wang (9) Yuheng Qiu (6) Bowen Li (6) Shibo Zhao (5) Sanjiban Choudhury (5) Yaoyu Hu (3) Jiahe Xu (2) Pranay Reddy (2) Nikhil Keetha (2)

Research topics

Reinforcement Learning (1)

Keywords

motion planning (4) multi-agent system (3) imitation learning (3) domain generalization (2) trajectory prediction (2) edge evaluation (2) autonomous vehicle (2) deep learning (2) collision-free path (2) 3d reconstruction (2) bayesian active learning (2) simultaneous localization and mapping (2) logical reasoning (1) graph classification (1) zero-shot learning (1) scene understanding (1) pose estimation (1) continual learning (1) deep reinforcement learning (1) test-time adaptation (1)

Papers

Flying Hand: End-Effector-Centric Framework for Versatile Aerial Manipulation Teleoperation and Policy Learning RSS 2025 Tartan IMU: A Light Foundation Model for Inertial Positioning in Robotics CVPR 2025 MAC-Ego3D: Multi-Agent Gaussian Consensus for Real-Time Collaborative Ego-Motion and Photorealistic 3D Reconstruction CVPR 2025 Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video ICLR 2025 Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid RSS 2025 Bilevel Learning for Bilevel Planning RSS 2025 LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation NIPS 2024 Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation CORL 2024 SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM CVPR 2024 SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments CVPR 2024 Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets NIPS 2024 PyPose: A Library for Robot Learning With Physics-Based Optimization CVPR 2023 PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework ICCV 2023 VoxDet: Voxel Learning for Novel Instance Detection NIPS 2023 AirObject: A Temporally Evolving Graph Embedding for Object Identification CVPR 2022 AirDet: Few-Shot Detection without Fine-Tuning for Autonomous Exploration ECCV 2022 Resilient Multi-Sensor Exploration of Multifarious Environments with a Team of Aerial Robots RSS 2022 Lifelong Graph Learning CVPR 2022 i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions RSS 2021 Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning CORL 2021 TartanVO: A Generalizable Learning-based VO CORL 2020 Visual Memorability for Robotic Interestingness via Unsupervised Online Learning ECCV 2020 Bayesian Active Edge Evaluation on Expensive Graphs IJCAI 2018 Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories CORL 2018 Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs NIPS 2017 Learning Heuristic Search via Imitation CORL 2017 Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution ICML 2017 Adaptive Information Gathering via Imitation Learning RSS 2017 Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest RSS 2015