Franziska Meier
18 papers · 2012–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (13) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (6)
π
Cross-Pollinator
(6)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(30)
π₯
Mega-Team
(24)
π
Keyword Champion
π§¬
Topic Evolution
π
Trend Setter
β
The Questioner
π
Century Club
(18)
ποΈ
Keyword Collector
(76)
π₯
Unstoppable
(7)
π
Conference Pioneer
Conferences
CORL (3)
ICML (3)
NIPS (3)
CVPR (2)
ICLR (2)
L4DC (2)
AISTATS (1)
ECCV (1)
JMLR (1)
Top co-authors
Research topics
Keywords
imitation learning
(2)
embodied ai
(2)
3d reconstruction
(1)
sample efficiency
(1)
vision transformer
(1)
model predictive control
(1)
uncertainty quantification
(1)
function approximation
(1)
point cloud
(1)
3d vision
(1)
incremental learning
(1)
visual representation
(1)
reinforcement learning
(1)
transformer architecture
(1)
inverse reinforcement learning
(1)
continual reinforcement learning
(1)
bayesian modeling
(1)
robot learning
(1)
trajectory segmentation
(1)
deep reinforcement learning
(1)
Papers
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
ICML 2025
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
ICML 2025
Unifying 2D and 3D Vision-Language Understanding
ICML 2025
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
CVPR 2025
OpenEQA: Embodied Question Answering in the Era of Foundation Models
CVPR 2024
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
ICLR 2023
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
NIPS 2023
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
ICLR 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
NIPS 2021
Adversarial Continual Learning
ECCV 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
CORL 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
L4DC 2020
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots
JMLR 2019
Curious iLQR: Resolving Uncertainty in Model-based RL
CORL 2019
Incremental Local Gaussian Regression
NIPS 2014
Movement Segmentation and Recognition for Imitation Learning
AISTATS 2012