Markus Marks

19 papers A* 4A 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification.
Int. J. Comput. Vis.
Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona
2025 J jnl
Diffusion-Based Action Recognition Generalizes to Untrained Domains.
CoRR
Rogério Guimarães, Frank Xiao, Pietro Perona, Markus Marks
2025 A conf
Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision.
WACV
Daniel Khalil, Christina Liu, Pietro Perona, Jennifer J. Sun, Markus Marks
2025 A* conf
Probing the Mid-level Vision Capabilities of Self-Supervised Learning.
CVPR
Xuweiyi Chen, Markus Marks, Zezhou Cheng
2025 J jnl
SAM 3: Segment Anything with Concepts.
CoRR
Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer
2025 J jnl
SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance.
CoRR
Suzanne Stathatos, Michael Hobley, Markus Marks, Pietro Perona
2024 J jnl
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification.
CoRR
Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona
2024 J jnl
Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision.
CoRR
Daniel Khalil, Christina Liu, Pietro Perona, Jennifer J. Sun, Markus Marks
2024 J jnl
Less is More: Discovering Concise Network Explanations.
CoRR
Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona
2024 J jnl
Probing the Mid-level Vision Capabilities of Self-Supervised Learning.
CoRR
Xuweiyi Chen, Markus Marks, Zezhou Cheng
2024 A* conf
Text-Image Alignment for Diffusion-Based Perception.
CVPR
Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona
2023 A* conf
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior.
ICML
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
2023 J jnl
Text-image Alignment for Diffusion-based Perception.
CoRR
Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona
2022 J jnl
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments.
Nat. Mach. Intell.
Markus Marks, Qiuhan Jin, Oliver Sturman, Lukas von Ziegler, Sepp Kollmorgen, Wolfger von der Behrens, Valerio Mante, Johannes Bohacek, Mehmet Fatih Yanik
2021 J jnl
An optimized registration workflow and standard geometric space for small animal brain imaging.
NeuroImage
Horea-Ioan Ioanas, Markus Marks, Valerio Zerbi, Mehmet Fatih Yanik, Markus Rudin
2020 J jnl
An Automated Open-Source Workflow for Standards-Compliant Integration of Small Animal Magnetic Resonance Imaging Data.
Frontiers Neuroinformatics
Horea-Ioan Ioanas, Markus Marks, Clément M. Garin, Marc Dhenain, Mehmet Fatih Yanik, Markus Rudin
2020 — —
Machine learning and statistical analysis of neuronal activity and animal behavior.
Markus Marks
2020 A* conf
Robust Disentanglement of a Few Factors at a Time.
NeurIPS
Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik
2020 J jnl
Robust Disentanglement of a Few Factors at a Time.
CoRR
Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik