Markus Marks
7 papers · 2020–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Computer Vision
(5)
Learning Types · Machine Learning
(5)
Analysis
(4)
Learning Types · Deep Learning
(4)
Core Methods
(3)
Models
(3)
Processing
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Core AI
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
self-supervised learning
(4)
diffusion model
(2)
semantic segmentation
(1)
vision transformer
(1)
multi-task learning
(1)
action recognition
(1)
domain generalization
(1)
object localization
(1)
domain adaptation
(1)
pose estimation
(1)
computer vision
(1)
network architecture
(1)
depth estimation
(1)
trajectory modeling
(1)
benchmark evaluation
(1)
behavior analysis
(1)
video analysis
(1)
generative model
(1)
representation learning
(1)
unsupervised learning
(1)
Papers
Diffusion-Based Action Recognition Generalizes to Untrained Domains
WACV 2026
SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance
WACV 2026
Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision
WACV 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning
CVPR 2025
Text-Image Alignment for Diffusion-Based Perception
CVPR 2024
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
ICML 2023
Robust Disentanglement of a Few Factors at a Time using rPU-VAE
NeurIPS 2020