Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering. - Anna Khoreva; Fabio Galasso; Matthias Hein 001; Bernt Schiele (GCPR, 2014)

Classifier based graph construction for video segmentation. - Anna Khoreva; Fabio Galasso; Matthias Hein 001; Bernt Schiele (CVPR, 2015)

Weakly Supervised Object Boundaries. - Anna Khoreva; Rodrigo Benenson; Mohamed Omran; Matthias Hein 001; Bernt Schiele (CVPR, 2016)

Improved Image Boundaries for Better Video Segmentation. - Anna Khoreva; Rodrigo Benenson; Fabio Galasso; Matthias Hein 001; Bernt Schiele (ECCV Workshops (3), 2016)

Weakly Supervised Semantic Labelling and Instance Segmentation. - Anna Khoreva; Rodrigo Benenson; Jan Hendrik Hosang; Matthias Hein 001; Bernt Schiele (CoRR, 2016)

Simple Does It: Weakly Supervised Instance and Semantic Segmentation. - Anna Khoreva; Rodrigo Benenson; Jan Hendrik Hosang; Matthias Hein 001; Bernt Schiele (CVPR, 2017)

Exploiting Saliency for Object Segmentation from Image Level Labels. - Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele (CVPR, 2017)

Learning Video Object Segmentation from Static Images. - Federico Perazzi; Anna Khoreva; Rodrigo Benenson; Bernt Schiele; Alexander Sorkine-Hornung (CVPR, 2017)

Lucid Data Dreaming for Object Tracking. - Anna Khoreva; Rodrigo Benenson; Eddy Ilg; Thomas Brox; Bernt Schiele (CoRR, 2017)

Learning to segment in images and videos with different forms of supervision. - Anna Khoreva (2017)

Video Object Segmentation with Language Referring Expressions. - Anna Khoreva; Anna Rohrbach; Bernt Schiele (ACCV (4), 2018)

Learning to Refine Human Pose Estimation. - Mihai Fieraru; Anna Khoreva; Leonid Pishchulin; Bernt Schiele (CVPR Workshops, 2018)

Video Object Segmentation with Referring Expressions. - Anna Khoreva; Anna Rohrbach; Bernt Schiele (ECCV Workshops (4), 2018)

Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. - Lukas Hoyer; Patrick Kesper; Anna Khoreva; Volker Fischer 003 (ICCV Workshops, 2019)

Grid Saliency for Context Explanations of Semantic Segmentation. - Lukas Hoyer; Mauricio Munoz; Prateek Katiyar; Anna Khoreva; Volker Fischer 003 (NeurIPS, 2019)

Progressive Augmentation of GANs. - Dan Zhang 003; Anna Khoreva (NeurIPS, 2019)

PA-GAN: Improving GAN Training by Progressive Augmentation. - Dan Zhang 003; Anna Khoreva (CoRR, 2019)

Lucid Data Dreaming for Video Object Segmentation. - Anna Khoreva; Rodrigo Benenson; Eddy Ilg; Thomas Brox; Bernt Schiele (Int. J. Comput. Vis., 2019)

A U-Net Based Discriminator for Generative Adversarial Networks. - Edgar Schönfeld; Bernt Schiele; Anna Khoreva (CVPR, 2020)

3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis. - Vadim Sushko; Edgar Schönfeld; Dan Zhang 003; Jürgen Gall; Bernt Schiele; Anna Khoreva (ECCV Workshops (6), 2020)

Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis. - Prateek Katiyar; Anna Khoreva (CoRR, 2020)

One-Shot GAN: Learning To Generate Samples From Single Images and Videos. - Vadim Sushko; Jürgen Gall; Anna Khoreva (CVPR Workshops, 2021)

You Only Need Adversarial Supervision for Semantic Image Synthesis. - Edgar Schönfeld; Vadim Sushko; Dan Zhang 003; Juergen Gall; Bernt Schiele; Anna Khoreva (ICLR, 2021)

Learning to Generate Novel Scene Compositions from Single Images and Videos. - Vadim Sushko; Juergen Gall; Anna Khoreva (CoRR, 2021)

OASIS: Only Adversarial Supervision for Semantic Image Synthesis. - Vadim Sushko; Edgar Schönfeld; Dan Zhang 003; Juergen Gall; Bernt Schiele; Anna Khoreva (Int. J. Comput. Vis., 2022)

Divide & Bind Your Attention for Improved Generative Semantic Nursing. - Yumeng Li; Margret Keuper; Dan Zhang 003; Anna Khoreva (BMVC, 2023)

Discovering Class-Specific GAN Controls for Semantic Image Synthesis. - Edgar Schönfeld; Julio Borges; Vadim Sushko; Bernt Schiele; Anna Khoreva (CVPR Workshops, 2023)

Intra-Source Style Augmentation for Improved Domain Generalization. - Yumeng Li; Dan Zhang 003; Margret Keuper; Anna Khoreva (WACV, 2023)

One-Shot Synthesis of Images and Segmentation Masks. - Vadim Sushko; Dan Zhang 003; Juergen Gall; Anna Khoreva (WACV, 2023)

Label-Free Neural Semantic Image Synthesis. - Jiayi Wang; Kevin Alexander Laube; Yumeng Li; Jan Hendrik Metzen; Shin-I Cheng; Julio Borges; Anna Khoreva (ECCV (53), 2024)

Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. - Yumeng Li; Margret Keuper; Dan Zhang 003; Anna Khoreva (ICLR, 2024)

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. - Massimo Bini; Karsten Roth; Zeynep Akata; Anna Khoreva (ICML, 2024)

Domain-Aware Fine-Tuning of Foundation Models. - Ugur Ali Kaplan; Margret Keuper; Anna Khoreva; Dan Zhang 003; Yumeng Li (CoRR, 2024)

Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators. - Nikita Kister; István Sárándi; Anna Khoreva; Gerard Pons-Moll (CoRR, 2024)

Generating novel scene compositions from single images and videos. - Vadim Sushko; Dan Zhang 003; Juergen Gall; Anna Khoreva (Comput. Vis. Image Underst., 2024)

Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. - Yumeng Li; Dan Zhang 003; Margret Keuper; Anna Khoreva (Int. J. Comput. Vis., 2024)

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis. - Yumeng Li; William H. Beluch; Margret Keuper; Dan Zhang 003; Anna Khoreva (ICLR, 2025)