MultiMax: Sparse and Multi-Modal Attention Learning.
|
ICML |
2024 |
0 |
Implicit Representations for Constrained Image Segmentation.
|
ICML |
2024 |
0 |
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks.
|
ICML |
2024 |
0 |
Improving Feature Stability During Upsampling - Spectral Artifacts and the Importance of Spatial Context.
|
ECCV |
2024 |
0 |
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive.
|
ICLR |
2024 |
0 |
Neural Architecture Design and Robustness: A Dataset.
|
ICLR |
2023 |
0 |
Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation.
|
TPAMI |
2023 |
0 |
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders.
|
NIPS/NeurIPS |
2022 |
1 |
Learning Where to Look - Generative NAS is Surprisingly Efficient.
|
ECCV |
2022 |
2 |
Aliasing and adversarial robust generalization of CNNs.
|
MLJ |
2022 |
2 |
FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting.
|
ECCV |
2022 |
0 |
Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks.
|
ECML/PKDD |
2022 |
0 |
Robust Models are less Over-Confident.
|
NIPS/NeurIPS |
2022 |
0 |
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.
|
ICLR |
2022 |
0 |
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.
|
IJCAI |
2021 |
15 |
Uncertainty in minimum cost multicuts for image and motion segmentation.
|
UAI |
2021 |
0 |
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation.
|
ICCV |
2021 |
2 |
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders.
|
NIPS/NeurIPS |
2021 |
4 |
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain.
|
IJCNN |
2021 |
14 |
Spectral Distribution Aware Image Generation.
|
AAAI |
2021 |
0 |
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.
|
IJCNN |
2021 |
0 |
A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking.
|
ACCV |
2020 |
4 |
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions.
|
CVPR |
2020 |
134 |
Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.
|
TPAMI |
2020 |
164 |
Self-supervised Sparse to Dense Motion Segmentation.
|
ACCV |
2020 |
3 |
Unsupervised Bootstrapping of Active Learning for Entity Resolution.
|
ESWC |
2020 |
4 |
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation.
|
ECCV |
2018 |
153 |
Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration.
|
ACCV |
2018 |
16 |
ProbFlow: Joint Optical Flow and Uncertainty Estimation.
|
ICCV |
2017 |
41 |
Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation.
|
ICCV |
2017 |
23 |
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
|
CVPR |
2017 |
0 |
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.
|
CVPR |
2017 |
0 |
Motion Trajectory Segmentation via Minimum Cost Multicuts.
|
ICCV |
2015 |
179 |
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts.
|
ICCV |
2015 |
110 |
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation.
|
CVPR |
2014 |
85 |
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF).
|
CVPR |
2013 |
19 |