Andreas Dengel
13 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Research topics
Deep Learning
(10)
Computer Vision
(9)
Machine Learning
(7)
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(4)
Generation
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Learning Types Β· Deep Learning
(4)
Models
(4)
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(3)
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Keywords
diffusion model
(4)
efficient computing
(2)
image classification
(2)
attention mechanism
(2)
neural network
(2)
image generation
(2)
image restoration
(1)
domain adaptation
(1)
vision transformer
(1)
self-supervised learning
(1)
text-to-image generation
(1)
text-to-image synthesis
(1)
multimodal learning
(1)
autonomous driving
(1)
visual question answering
(1)
image reconstruction
(1)
test-time adaptation
(1)
object detection
(1)
pedestrian detection
(1)
model architecture
(1)
Papers
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators
CVPR 2026
YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction
CVPR 2026
Dynamic Attention-Guided Diffusion for Image Super-Resolution
WACV 2025
SpotDiffusion: A Fast Approach for Seamless Panorama Generation Over Time
WACV 2025
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
CVPR 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
Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving
CVPR 2023
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
AAAI 2022
Self-Supervised Test-Time Adaptation on Video Data
WACV 2022
Adversarial Defense based on Structure-to-Signal Autoencoders
WACV 2020
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
COLING 2020
What Do Deep Networks Like to See?
CVPR 2018