Franziska Meier
18 papers · 2012–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π₯
Mega-Team Β· Squad
π
Keyword Champion
π
Renaissance Researcher
(5)
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(100)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
Top co-authors
Research topics
Keywords
point cloud
(3)
imitation learning
(3)
embodied ai
(2)
foundation model
(2)
inverse reinforcement learning
(2)
referential grounding
(2)
offline reinforcement learning
(1)
vision transformer
(1)
3d reconstruction
(1)
function approximation
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
maximum entropy
(1)
3d vision
(1)
sample efficiency
(1)
instance segmentation
(1)
visual representation
(1)
policy learning
(1)
incremental learning
(1)
approximate inference
(1)
Papers
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
CVPR 2025
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
ICML 2025
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
ICML 2025
Unifying 2D and 3D Vision-Language Understanding
ICML 2025
OpenEQA: Embodied Question Answering in the Era of Foundation Models
CVPR 2024
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
ICLR 2023
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
ICLR 2023
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
NeurIPS 2023
Block Contextual MDPs for Continual Learning
L4DC 2022
Cross-Domain Transfer via Semantic Skill Imitation
CoRL 2022
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
NeurIPS 2021
Adversarial Continual Learning
ECCV 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
L4DC 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
CoRL 2020
Curious iLQR: Resolving Uncertainty in Model-based RL
CoRL 2019
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots
JMLR 2019
Incremental Local Gaussian Regression
NeurIPS 2014
Movement Segmentation and Recognition for Imitation Learning
AISTATS 2012