News
You are here
Funded Projects:
DFG Research Unit 5336 - Learning2Sense
DeToL – Deep Topology Learning - funded by the BMBF (Federal Ministry of Education and Research)
Video Segmentation from Multiple Representations using Lifted Multicuts - DFG Project KE 2264/1-1
ClimateVisions: automated image analysis of Reactions and Emotions from Images on Climate Change in Social Media
more details coming soon ...
Further Recent Projects on Robustness:
Robust Models are less Over-Confident
Aliasing and adversarial robust generalization of CNNs
Intra-Source Style Augmentation for Improved Domain Generalization
FrequencyLowCut Pooling--Plug & Play against Catastrophic Overfitting
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
Detecting AutoAttack Perturbations in the Frequency Domain
Image Generation and DeepFake Detection:
Internalized biases in fréchet inception distance
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Spectral Distribution aware Image Generation
Neural Architecture Search:
Learning Where To Look--Generative NAS is Surprisingly Efficient
DARTS for inverse problems: A study on stability
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search
Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks
Neural Architecture Performance Prediction Using Graph Neural Networks
Motion Segmentation and Tracking:
Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation
Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation
Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering
Motion trajectory segmentation via minimum cost multicuts
Object Segmentation Tracking from Generic Video Cues
A Two-Stage Minimum Cost Multicut Approach to Self-Supervised Multiple Person Tracking
Self-supervised Sparse to Dense Motion Segmentation
Projects on Efficient Image Decompsition and Clustering:
MSM: Multi-stage Multicuts for Scalable Image Clustering
Learning embeddings for image clustering: an empirical study of triplet loss approaches
Optimizing Edge Detection for Image Segmentation with Multicut Penalties
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts
A Benders Decomposition Approach to Correlation Clustering



