Margret Keuper
35 papers · 2013–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (6)
π
Cross-Pollinator
(6)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(47)
π
Grand Slam
π§¬
Topic Evolution
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Conference Pioneer
π₯
Unstoppable
(6)
β
The Questioner
π
Century Club
(35)
ποΈ
Keyword Collector
(101)
β‘
Prolific Year
(5)
Conferences
ICCV (7)
CVPR (5)
ICLR (5)
ECCV (4)
ICML (4)
NIPS (3)
WACV (3)
AAAI (1)
ACL (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
image generation
(3)
minimum cost multicut
(3)
image segmentation
(3)
generative adversarial network
(3)
convolutional neural network
(3)
adversarial attack
(2)
adversarial robustness
(2)
spectral clustering
(2)
frequency spectrum
(2)
variational autoencoder
(2)
deterministic autoencoder
(2)
semantic segmentation
(2)
generative model
(2)
video segmentation
(2)
adversarial training
(2)
deepfake detection
(2)
graph clustering
(1)
embedding space
(1)
blind deconvolution
(1)
computer vision
(1)
Papers
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
ICCV 2025
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
ACL 2025
FAIR-TAT: Improving Model Fairness using Targeted Adversarial Training
WACV 2025
I Spy with My Little Eye A Minimum Cost Multicut Investigation of Dataset Frames
WACV 2025
DCBM: Data-Efficient Visual Concept Bottleneck Models
ICML 2025
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
ICLR 2025
Can We Talk Models Into Seeing the World Differently?
ICLR 2025
AIM: Amending Inherent Interpretability via Self-Supervised Masking
ICCV 2025
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
ECCV 2024
MultiMax: Sparse and Multi-Modal Attention Learning
ICML 2024
Implicit Representations for Constrained Image Segmentation
ICML 2024
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
ICLR 2024
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
ICML 2024
Intra-Source Style Augmentation for Improved Domain Generalization
WACV 2023
Neural Architecture Design and Robustness: A Dataset
ICLR 2023
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
NIPS 2022
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
ICLR 2022
Learning Where to Look β Generative NAS Is Surprisingly Efficient
ECCV 2022
FrequencyLowCut Pooling β Plug & Play against Catastrophic Overfitting
ECCV 2022
Robust Models are less Over-Confident
NIPS 2022
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
NIPS 2021
Spectral Distribution Aware Image Generation
AAAI 2021
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation
ICCV 2021
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
IJCAI 2021
Uncertainty in minimum cost multicuts for image and motion segmentation
UAI 2021
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions
CVPR 2020
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
ECCV 2018
Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation
ICCV 2017
FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks
CVPR 2017
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
CVPR 2017
ProbFlow: Joint Optical Flow and Uncertainty Estimation
ICCV 2017
Motion Trajectory Segmentation via Minimum Cost Multicuts
ICCV 2015
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts
ICCV 2015
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation
CVPR 2014
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF)
CVPR 2013