Visual Inference Lab @TU Darmstadt's repositories
1-stage-wseg
Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)
self-mono-sf
Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)
dense-ulearn-vos
Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)
adapter_plus
[CVPR 2024] Official implementation of "Adapters Strike Back"
funnybirds
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)
self-adaptive
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
fast-axiomatic-attribution
Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
funnybirds-framework
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)
pixelpyramids
PixelPyramids: Exact Inference Models from Lossless Image Pyramids (ICCV 2021)
style-seqcvae
Diverse Image Captioning with Grounded Style (GCPR 2021)
semantic_lattice
Semantic Lattice (GCPR 2019)
benchmarking-synthetic-clones
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images (CVPRW 2024)
playing-for-data
Playing for data: Ground Truth from Computer Games (ECCV 2016)
matryoshka
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers
mirrorflow
MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation (ICCV 2017)
interleaved-rtf
Interleaved Regression Tree Field Cascades for Blind Image Deconvolution