Rudolph Triebel

15 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (8)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧬 Topic Evolution 🗃️ Keyword Collector (71) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (15) ⚡ Prolific Year (6)

Conferences

CORL (6) CVPR (3) ECCV (2) ICML (2) ICCV (1) MICCAI (1)

Top co-authors

Jianxiang Feng (4) Jongseok Lee (4) Martin Sundermeyer (4) Maximilian Durner (4) Zoltan-Csaba Marton (3) Manuel Brucker (2) Matthias Humt (2) Wout Boerdijk (2) Tick Son Wang (1) Felix Schiel (1)

Keywords

uncertainty estimation (2) zero-shot learning (1) object tracking (1) robotic manipulation (1) domain generalization (1) transfer learning (1) domain adaptation (1) pose estimation (1) bayesian inference (1) density estimation (1) sparse representation (1) object detection (1) self-supervised learning (1) incremental learning (1) few-shot learning (1) instance segmentation (1) robot learning (1) low-rank approximation (1) model uncertainty (1) continual learning (1)

Papers

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy MICCAI 2025 Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation ICCV 2025 FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference CORL 2025 Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning CORL 2023 Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023 Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects CVPR 2022 Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes CORL 2021 Multi-Path Learning for Object Pose Estimation Across Domains CVPR 2020 Incremental learning of EMG-based control commands using Gaussian Processes CORL 2020 Self-Supervised Object-in-Gripper Segmentation from Robotic Motions CORL 2020 Information-Driven Direct RGB-D Odometry CVPR 2020 3D Scene Reconstruction from a Single Viewport ECCV 2020 Estimating Model Uncertainty of Neural Networks in Sparse Information Form ICML 2020 Implicit 3D Orientation Learning for 6D Object Detection from RGB Images ECCV 2018 How Robots Learn to Classify New Objects Trained from Small Data Sets CORL 2017