Rudolph Triebel

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (29)

🧬 Topic Evolution 🗃️ Keyword Collector (75) 💎 Century Club · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer

Venues

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)

Research topics

Machine Learning (11) Computer Vision (6) Learning Types (6) Optimization & Theory (6) Artificial Intelligence (5) Analysis (5) Deep Learning (4) Robotics (3) Bayesian & Probabilistic (2) Capabilities (2) Core AI (2) Core Methods (2) Models (2) Reinforcement Learning (1) Applications (1)

Keywords

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

Papers

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 KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy MICCAI 2025 Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023 Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning CoRL 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 3D Scene Reconstruction from a Single Viewport ECCV 2020 Estimating Model Uncertainty of Neural Networks in Sparse Information Form ICML 2020 Incremental learning of EMG-based control commands using Gaussian Processes CoRL 2020 Information-Driven Direct RGB-D Odometry CVPR 2020 Multi-Path Learning for Object Pose Estimation Across Domains CVPR 2020 Self-Supervised Object-in-Gripper Segmentation from Robotic Motions CoRL 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