Markus Marks

According to our database, Markus Marks authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification.

Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona

Int. J. Comput. Vis., August, 2025

SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance.

Suzanne Stathatos, Michael Hobley, Markus Marks, Pietro Perona

CoRR, April, 2025

Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision.

Daniel Khalil, Christina Liu, Pietro Perona, Jennifer J. Sun, Markus Marks

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Probing the Mid-level Vision Capabilities of Self-Supervised Learning.

Xuweiyi Chen, Markus Marks, Zezhou Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Less is More: Discovering Concise Network Explanations.

Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona

CoRR, 2024

Text-Image Alignment for Diffusion-Based Perception.

Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E. Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy

Proceedings of the International Conference on Machine Learning, 2023

2022

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 von Ziegler, Sepp Kollmorgen, Wolfger von der Behrens, Valerio Mante, Johannes Bohacek, Mehmet Fatih Yanik

Nat. Mach. Intell., 2022

2021

An optimized registration workflow and standard geometric space for small animal brain imaging.

Horea-Ioan Ioanas, Markus Marks, Valerio Zerbi, Mehmet Fatih Yanik, Markus Rudin

NeuroImage, 2021

2020

Machine learning and statistical analysis of neuronal activity and animal behavior.

Markus Marks

PhD thesis, 2020

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, Markus Rudin

Frontiers Neuroinformatics, 2020

Robust Disentanglement of a Few Factors at a Time.

Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020