Franziska Meier
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
8
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Unifying 2D and 3D Vision-Language Understanding. | Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki |
| 2024 | CVPR | 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-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran |
| 2024 | ICRA | What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? | Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets |
| 2023 | ICLR | Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. | Michael Chang, Alyssa L. Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang |
| 2023 | ICLR | BC-IRL: Learning Generalizable Reward Functions from Demonstrations. | Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier |
| 2023 | ICRA | Neural Grasp Distance Fields for Robot Manipulation. | Thomas Weng, David Held, Franziska Meier, Mustafa Mukadam |
| 2022 | CoRL | Cross-Domain Transfer via Semantic Skill Imitation. | Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai |
| 2021 | ICRA | Leveraging Forward Model Prediction Error for Learning Control. | Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti |
| 2021 | IROS | Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. | Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai |
| 2020 | CoRL | Model-Based Inverse Reinforcement Learning from Visual Demonstrations. | Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier |
| 2020 | ECCV | Adversarial Continual Learning. | Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach |
| 2020 | ICPR | Meta Learning via Learned Loss. | Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav S. Sukhatme, Franziska Meier |
| 2020 | ICRA | Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. | Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai |
| 2020 | IROS | Learning State-Dependent Losses for Inverse Dynamics Learning. | Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier |
| 2020 | IROS | A Framework for Online Updates to Safe Sets for Uncertain Dynamics. | Jennifer C. Shih, Franziska Meier, Akshara Rai |
| 2019 | CoRL | Curious iLQR: Resolving Uncertainty in Model-based RL. | Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier |
| 2018 | ICRA | SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control. | Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox |
| 2018 | ICRA | Online Learning of a Memory for Learning Rates. | Franziska Meier, Daniel Kappler, Stefan Schaal |
| 2018 | ICRA | Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. | Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier |
| 2017 | ICRA | Learning feedback terms for reactive planning and control. | Akshara Rai, Giovanni Sutanto, Stefan Schaal, Franziska Meier |
| 2017 | IROS | A new data source for inverse dynamics learning. | Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal |
| 2016 | ICRA | Drifting Gaussian processes with varying neighborhood sizes for online model learning. | Franziska Meier, Stefan Schaal |
| 2016 | IROS | Towards robust online inverse dynamics learning. | Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal |
| 2014 | IROS | Efficient Bayesian local model learning for control. | Franziska Meier, Philipp Hennig, Stefan Schaal |
| 2011 | IROS | Movement segmentation using a primitive library. | Franziska Meier, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal |
| 2008 | ICPR | 3D Shape Context and Distance Transform for action recognition. | Matthias Grundmann, Franziska Meier, Irfan A. Essa |