Federico Raue
7 papers · 2015–2026 · 2 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 · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
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Topic Evolution
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Research topics
Computer Vision
(5)
Deep Learning
(5)
Machine Learning
(4)
Analysis
(3)
Architectures
(3)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Processing
(2)
Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Core AI · Artificial Intelligence
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Keywords
attention mechanism
(2)
diffusion model
(2)
image classification
(2)
vision transformer
(1)
feature extraction
(1)
scene understanding
(1)
image restoration
(1)
mutual information
(1)
model architecture
(1)
test-time adaptation
(1)
image reconstruction
(1)
text-to-image generation
(1)
efficient computing
(1)
synthetic data generation
(1)
covariate shift
(1)
image super-resolution
(1)
self-supervised learning
(1)
3d pose estimation
(1)
image matching
(1)
domain adaptation
(1)
Papers
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators
CVPR 2026
Dynamic Attention-Guided Diffusion for Image Super-Resolution
WACV 2025
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
WACV 2025
SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation
WACV 2024
Self-Supervised Test-Time Adaptation on Video Data
WACV 2022
What Do Deep Networks Like to See?
CVPR 2018
Scene Labeling With LSTM Recurrent Neural Networks
CVPR 2015