| What Matters For Meta-Learning Vision Regression Tasks? N Gao, H Ziesche, NA Vien, M Volpp, G Neumann Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 25 | 2022 |
| Meta-learning regrasping strategies for physical-agnostic objects R Chen*, N Gao*, NA Vien, H Ziesche, G Neumann Scaling robot learning workshop in ICRA 2022, 2022 | 8 | 2022 |
| Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Y Li*, N Gao*, H Ziesche, G Neumann Women in Computer Vision (WiCV) workshop in CVPR 2022, 2022 | 3 | 2022 |
| Method For Training a Conditional Neural Process for Determining a Position of an Object from Image Data N Gao, AV Ngo, G Neumann, H Ziesche, M Volpp US Patent App. 18/167,733, 2023 | | 2023 |
| SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects N Gao, VA Ngo, H Ziesche, G Neumann 7th Annual Conference on Robot Learning (CoRL), 2023 | | 2023 |
| Method for Ascertaining a 6D Pose of an Object N Gao, Y Li, G Neumann, H Ziesche US Patent App. 18/168,205, 2023 | | 2023 |
| Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization N Gao, B Hohmann, G Neumann The 34th British Machine Vision Conference (BMVC), 2023, 2023 | | 2023 |
| Learning Inductive Object-Centric Slot Initialization via Clustering N Gao, B Hohmann, G Neumann | | 2022 |
| Supplementary Material for: What Matters For Meta-Learning Vision Regression Tasks? N Gao, H Ziesche, NA Vien, M Volpp, G Neumann | | |
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Bestätigte E-Mail-Adresse bei robot-learning.de
