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Research
I'm interested in building visual perception systems that make active agents robust to
changes and
help them generalize to new environments.
I believe the interplay between perceiving the environment and interacting with it is the next step
towards creating intelligent, multi-purpose agents.
Additional interests include improving exploration in reinforcement learning through
intrinsic rewards like, e.g., curiosity.
(* equal contribution)
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News
- 07/2024: Starting my internship at Bosch AI in Pittsburgh
- 03/2024: Invited to review for SemRob @ RSS 2024
- 03/2024: Invited to review for RSS 2024
- 02/2024: Invited to review for CVPR 2024
- 01/2024: TA for CSE478 Fall 2024
- 01/2024: "ASID: Active Exploration for System Identification in Robotic Manipulation" has
been accepted to ICLR 2024 (oral, top 1.2%).
- 05/2023: "Modality-invariant Visual Odometry for Embodied Vision" has been accepted to
CVPR 2023.
- 03/2022: "Interactive Disentanglement: Learning Concepts by Interacting with their Prototype
Representations" has been accepted to CVPR 2022.
- 01/2022: "Dimensionality Reduction and Prioritized Exploration for Policy Search" has been
accepted to AISTATS 2022.
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Research
Peer reviewed conference and workshop papers.
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DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Alexander Khazatsky*,
Karl Pertsch*,
Suraj Nair,
...,
Marius Memmel,
...,
Thomas Kollar,
Sergey Levine,
Chelsea Finn
arXiv Preprint, 2024
arxiv
website
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ASID: Active Exploration for System Identification in Robotic Manipulation
Marius Memmel,
Andrew Wagenmaker,
Chuning Zhu,
Patrick Yin,
Dieter Fox,
Abhishek Gupta
Conference on Learning Representations (ICLR), 2024 (Oral
Presentation, top 1.2%)
paper
arxiv
website
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URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
Zoey Chen,
Aaron Walsman,
Marius Memmel,
Kaichun Mo,
Alex Fang,
Dieter Fox*,
Abhishek Gupta*
Preprint, 2024 (Oral Presentation at CoRL TGR workshop)
paper
website
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Modality-invariant Visual Odometry for Embodied Vision
Marius Memmel,
Roman Bachmann,
Amir Zamir
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
paper
arxiv
website
poster
code
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Interactive Disentanglement: Learning Concepts by Interacting with their Prototype
Representations
Wolfgang Stammer,
Marius Memmel,
Patrick Schramowski,
Kristian Kersting
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
paper
arxiv
code
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Dimensionality Reduction and Prioritized Exploration for Policy Search
Marius Memmel,
Puze Liu,
Davide Tateo,
Jan Peters
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
paper
arxiv
code
poster
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Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
Marius Memmel,
Camila Gonzalez,
Anirban Mukhopadhyay
Domain Adaptation and Representation Transfer (DART) at Medical Image Computing and Computer
Assisted Intervention (MICCAI), 2021
paper
arxiv
code
poster
video
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Other Projects
Thesis, projects, open-source contributions, and miscellaneous. For my past data science and
software engineering projects please refer to my GitHub.
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Multi-modal Vision Transformers For Data-Efficient Visual Odometry In Embodied Indoor
Navigation
Master Thesis, Technical University of Darmstadt, 2022
Thesis at VILAB (EPFL)
supervised by Prof. Amir Zamir and Prof.
Stefan Roth.
thesis
code
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Open Source Contribution to MushroomRL
Intelligent Autonomous Systems Group, TU Darmstadt, 2021
Implementation of Constrained Weighted Maximum
Likelihood Update for REPS (CREPS) and Model-based
Relative Entropy Policy Search (MORE).
code
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DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos
Artificial Intelligence & Machine Learning Lab, TU Darmstadt, 2020
Group project for the Deep Learning Architectures and Methods course supervised by Prof. Kristian Kersting.
report
code
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Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that
Explains Its Predictions PYTORCH IMPLEMENTATION
Artificial Intelligence and Machine Learning Lab, TU Darmstadt, 2020
code
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EmojiGAN: Image to Emoji Translation Using GANs
Medical & Environmental Computing, TU Darmstadt, 2020
Group project for the Deep Generative Models course supervised by Dr.
Anirban Mukhopadhyay. Special thanks to Tillmann
Rheude (image).
code
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Creative Chest X-Ray Augmentation Using Cycle GAN
Medical & Environmental Computing, TU Darmstadt, 2019
Group project for the Deep Learning for Medical Imaging course supervised by Dr.
Anirban Mukhopadhyay.
poster
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Scalable 3D Semantic Segmentation for Gun Detection in CT Scans
Marius Memmel*,
Christoph Reich*,
Nicolas Wagner*,
Faraz Saeedan
Visual Inference Lab, TU Darmstadt, 2021
Group project for Deep Learning for Computer Vision supervised by Prof.
Stefan Roth.
arxiv
code
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Conception and Development of a Machine Learning Model for the Analysis of the Energy
Consumption of a Plasterboard Dryer
Bachelor Thesis, DHBW, 2019
Thesis at Knauf IT supervised by Dr. Halgurt Bapierre and Prof. Julian
Reichwald.
thesis
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Honors & Awards
- 2022: European Informatics Student Award: "An incentive for the brightest European students
to experience the University of Washington and the Pacific Northwest."
- 2019-2020: Deutschlandstipendium: Merit-based scholarship given to less than 1% of all
students in Germany
- 2019: Best Graduate: Award for the best graduate of Business Information Systems (Software
Engineering) at DHBW
- 2018: Baden-Württemberg-Stipendium: given to 1500 high-achieving students/year to promote
exchange
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English Proficiency
- 07/07/2020 TOEFL iBT: total 112/120, reading 29, listening: 29, writing 28, speaking
26
- 12/11/2021 Duolingo English Test: total 150/160 (equivalent to 120/120 TOEFL iBT),
literacy 150, comprehension 150, conversation 155, production 150
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