publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

* denotes equal contribution

2026

  1. actiondiff.png
    Diffusion-Based Action Recognition Generalizes to Untrained Domains
    Rogerio Guimaraes, Frank Xiao, Pietro Perona, and Markus Marks
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Mar 2026
    arXiv Code Website
  2. saved.png
    SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance
    Suzanne Stathatos, Michael Hobley, Markus Marks*, and Pietro Perona*
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Mar 2026
    arXiv Website

2025

  1. mritag.png
    Magnetic Resonance Identification Tags for Ultra-flexible Electrodes
    Eminhan Ozil, Peter Gombkoto, Athina Apostolelli, Tansel Yasar, Angeliki Vavladeli, Markus Marks, Wolfger Behrens, and 1 more author
    Mar 2025
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  2. mid_level.png
    Probing the Mid-level Vision Capabilities of Self-Supervised Learning
    Xuweiyi Chen, Markus Marks, and Zezhou Cheng
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Mar 2025
    arXiv Website
  3. 7human.gif
    Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision
    Daniel Khalil, Christina Liu, Pietro Perona, Jennifer Sun*, and Markus Marks*
    (Oral) Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Mar 2025
    arXiv Code Website
  4. ssl_metrics.png
    A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification
    Markus Marks*, Manuel Knott*, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Perez-Cruz, and Pietro Perona
    International Journal of Computer Vision, Mar 2025
    arXiv Code

2024

  1. dcne.png
    Less is More: Discovering Concise Network Explanations
    Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, and Pietro Perona
    In ICLR 2024 Workshop on Representational Alignment, Mar 2024
    arXiv Website
  2. tadp.gif
    Text-image Alignment for Diffusion-based Perception
    Neehar Kondapaneni*, Markus Marks*, Manuel Knott*, Rogério Guimarães, and Pietro Perona
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Mar 2024
    arXiv Code Website

2023

  1. vmh.png
    Distributed representations of innate behaviors in the hypothalamus do not predict specialized functional centers
    Stefanos Stagkourakis, Giada Spigolon, Markus Marks, Michael Feyder, Joseph Kim, Pietro Perona, Marius Pachitariu, and 1 more author
    bioRxiv, Mar 2023
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  2. cellsam.png
    A Foundation Model for Cell Segmentation
    Uriah Israel*, Markus Marks*, Rohit Dilip, Qilin Li, Morgan Schwartz, Elora Pradhan, Edward Pao, and 7 more authors
    arXiv preprint arXiv:2311.11004, Mar 2023
    under review at Nature Methods
    HTML Code Website
  3. mri_imaging.png
    Simultaneous single-cell calcium imaging of neuronal population activity and brain-wide BOLD fMRI
    Rik Lodevicus Elizabeth Maria Ubaghs, Roman Boehringer, Markus Marks, Helke Karen Hesse, Mehmet Fatih Yanik, Valerio Zerbi, and Benjamin Friedrich Grewe
    bioRxiv, Mar 2023
    under review at Nature Methods
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  4. mabe.png
    MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
    Jennifer J. Sun*, Markus Marks*, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, and 16 more authors
    In Proceedings of the 40th International Conference on Machine Learning, 23–29 jul 2023
    HTML Code

2022

  1. sipec.gif
    Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments
    Markus Marks, Qiuhan Jin, Oliver Sturman, Lukas Ziegler, Sepp Kollmorgen, Wolfger Behrens, Valerio Mante, and 2 more authors
    Nature machine intelligence, 23–29 jul 2022
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  2. animal_ecology.png
    A multicomponent approach to studying cultural propensities during foraging in the wild
    Kelly Ray Mannion, Elizabeth F Ballare, Markus Marks, and Thibaud Gruber
    The Journal of animal ecology, 23–29 jul 2022
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  3. Predicting cardiac remodeling after myocardial infarction with machine learning: are we there yet?
    Sebastian J Reinstadler, Clemens Dlaska, Martin Reindl, and Markus Marks
    International Journal of Cardiology, 23–29 jul 2022
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2021

  1. samri.png
    An optimized registration workflow and standard geometric space for small animal brain imaging
    Horea-Ioan Ioanas, Markus Marks, Valerio Zerbi, Mehmet Fatih Yanik, and Markus Rudin
    NeuroImage, 23–29 jul 2021
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2020

  1. disentanglement.gif
    Robust Disentanglement of a Few Factors at a Time using rPU-VAE
    Benjamin Estermann*, Markus Marks*, and Mehmet Fatih Yanik
    Advances in Neural Information Processing Systems, 23–29 jul 2020
    HTML Code
  2. fus.png
    Non-invasive molecularly-specific millimeter-resolution manipulation of brain circuits by ultrasound-mediated aggregation and uncaging of drug carriers
    Mehmet S Ozdas, Aagam S Shah, Paul M Johnson, Nisheet Patel, Markus Marks, Tansel Baran Yasar, Urs Stalder, and 4 more authors
    Nature communications, 23–29 jul 2020
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  3. samri_workflow.png
    An automated open-source workflow for standards-compliant integration of small animal magnetic resonance imaging data
    Horea-Ioan Ioanas, Markus Marks, Clément M Garin, Marc Dhenain, Mehmet Fatih Yanik, and Markus Rudin
    Frontiers in neuroinformatics, 23–29 jul 2020
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