Meier, Franziska

28 publications

CVPR 2025 Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli

ICML 2025 From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Ada Martin, Vincent-Pierre Berges, Paul Mcvay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax

ICML 2025 LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D Paul Mcvay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier

ICML 2025 Unifying 2D and 3D Vision-Language Understanding Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki

CVPR 2024 OpenEQA: Embodied Question Answering in the Era of Foundation Models Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul Mcvay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran

ICLR 2023 BC-IRL: Learning Generalizable Reward Functions from Demonstrations Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier

ICLR 2023 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang

NeurIPS 2023 Where Are We in the Search for an Artificial Visual Cortex for Embodied Intelligence? Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier

ICLRW 2023 Where Are We in the Search for an Artificial Visual Cortex for Embodied Intelligence? Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier

L4DC 2022 Block Contextual MDPs for Continual Learning Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang

CoRL 2022 Cross-Domain Transfer via Semantic Skill Imitation Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J Lim, Dhruv Batra, Akshara Rai

NeurIPSW 2022 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang

NeurIPSW 2022 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang

NeurIPSW 2022 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang

NeurIPSW 2022 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang

NeurIPSW 2022 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang

NeurIPSW 2022 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang

NeurIPSW 2022 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang

NeurIPSW 2021 Block Contextual MDPs for Continual Learning Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang

NeurIPS 2021 Habitat 2.0: Training Home Assistants to Rearrange Their Habitat Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimír Vondruš, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra

ECCV 2020 Adversarial Continual Learning Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

L4DC 2020 Encoding Physical Constraints in Differentiable Newton-Euler Algorithm Giovanni Sutanto, Austin Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier

CoRL 2020 Model-Based Inverse Reinforcement Learning from Visual Demonstrations Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier

CoRL 2019 Curious iLQR: Resolving Uncertainty in Model-Based RL Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier

ICMLW 2019 Curious iLQR: Resolving Uncertainty in Model-Based RL Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier

JMLR 2019 Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson

NeurIPS 2014 Incremental Local Gaussian Regression Franziska Meier, Philipp Hennig, Stefan Schaal

AISTATS 2012 Movement Segmentation and Recognition for Imitation Learning Franziska Meier, Evangelos Theodorou, Stefan Schaal