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Anna Khoreva
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2020 – today
- 2024
- [j4]Vadim Sushko
, Dan Zhang
Generating novel scene compositions from single images and videos. Comput. Vis. Image Underst. 239: 103888 (2024) - [j3]Yumeng Li
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. Int. J. Comput. Vis. 132(2): 446-465 (2024) - [c23]Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva:
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. ICLR 2024 - [c22]Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva:
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. ICML 2024 - [i26]Yumeng Li
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. CoRR abs/2401.08815 (2024) - [i25]Yumeng Li
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis. CoRR abs/2403.13501 (2024) - [i24]Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva:
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. CoRR abs/2405.20271 (2024) - [i23]Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva:
Label-free Neural Semantic Image Synthesis. CoRR abs/2407.01790 (2024) - [i22]Ugur Ali Kaplan, Margret Keuper, Anna Khoreva, Dan Zhang, Yumeng Li
Domain-Aware Fine-Tuning of Foundation Models. CoRR abs/2407.03482 (2024) - [i21]Nikita Kister, István Sárándi, Anna Khoreva, Gerard Pons-Moll:
Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators. CoRR abs/2408.16536 (2024) - 2023
- [c21]Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva:
Divide & Bind Your Attention for Improved Generative Semantic Nursing. BMVC 2023: 366 - [c20]Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva:
Discovering Class-Specific GAN Controls for Semantic Image Synthesis. CVPR Workshops 2023: 688-697 - [c19]Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva:
Intra-Source Style Augmentation for Improved Domain Generalization. WACV 2023: 509-519 - [c18]Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva:
One-Shot Synthesis of Images and Segmentation Masks. WACV 2023: 6274-6283 - [i20]Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva:
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. CoRR abs/2307.00648 (2023) - [i19]Yumeng Li
Divide & Bind Your Attention for Improved Generative Semantic Nursing. CoRR abs/2307.10864 (2023) - 2022
- [j2]Vadim Sushko
OASIS: Only Adversarial Supervision for Semantic Image Synthesis. Int. J. Comput. Vis. 130(12): 2903-2923 (2022) - [i18]Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva:
One-Shot Synthesis of Images and Segmentation Masks. CoRR abs/2209.07547 (2022) - [i17]Yumeng Li
Intra-Source Style Augmentation for Improved Domain Generalization. CoRR abs/2210.10175 (2022) - [i16]Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele
Discovering Class-Specific GAN Controls for Semantic Image Synthesis. CoRR abs/2212.01455 (2022) - 2021
- [c17]Vadim Sushko, Jürgen Gall, Anna Khoreva:
One-Shot GAN: Learning To Generate Samples From Single Images and Videos. CVPR Workshops 2021: 2596-2600 - [c16]Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele
You Only Need Adversarial Supervision for Semantic Image Synthesis. ICLR 2021 - [i15]Vadim Sushko, Juergen Gall, Anna Khoreva:
One-Shot GAN: Learning to Generate Samples from Single Images and Videos. CoRR abs/2103.13389 (2021) - [i14]Vadim Sushko, Juergen Gall, Anna Khoreva:
Learning to Generate Novel Scene Compositions from Single Images and Videos. CoRR abs/2105.05847 (2021) - 2020
- [c15]Edgar Schönfeld, Bernt Schiele
A U-Net Based Discriminator for Generative Adversarial Networks. CVPR 2020: 8204-8213 - [c14]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis. ECCV Workshops (6) 2020: 554-558 - [i13]Edgar Schönfeld, Bernt Schiele, Anna Khoreva:
A U-Net Based Discriminator for Generative Adversarial Networks. CoRR abs/2002.12655 (2020) - [i12]Prateek Katiyar, Anna Khoreva:
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis. CoRR abs/2011.12636 (2020) - [i11]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. CoRR abs/2012.04781 (2020)
2010 – 2019
- 2019
- [j1]Anna Khoreva
Lucid Data Dreaming for Video Object Segmentation. Int. J. Comput. Vis. 127(9): 1175-1197 (2019) - [c13]Lukas Hoyer, Patrick Kesper, Anna Khoreva, Volker Fischer:
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. ICCV Workshops 2019: 813-821 - [c12]Dan Zhang, Anna Khoreva:
Progressive Augmentation of GANs. NeurIPS 2019: 6246-6256 - [c11]Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer:
Grid Saliency for Context Explanations of Semantic Segmentation. NeurIPS 2019: 6459-6470 - [i10]Dan Zhang, Anna Khoreva:
PA-GAN: Improving GAN Training by Progressive Augmentation. CoRR abs/1901.10422 (2019) - [i9]Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer:
Grid Saliency for Context Explanations of Semantic Segmentation. CoRR abs/1907.13054 (2019) - 2018
- [c10]Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Language Referring Expressions. ACCV (4) 2018: 123-141 - [c9]Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, Bernt Schiele
Learning to Refine Human Pose Estimation. CVPR Workshops 2018: 205-214 - [c8]Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Referring Expressions. ECCV Workshops (4) 2018: 7-12 - [i8]Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Language Referring Expressions. CoRR abs/1803.08006 (2018) - [i7]Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, Bernt Schiele:
Learning to Refine Human Pose Estimation. CoRR abs/1804.07909 (2018) - 2017
- [b1]Anna Khoreva:
Learning to segment in images and videos with different forms of supervision. Saarland University, Saarbrücken, Germany, 2017 - [c7]Anna Khoreva, Rodrigo Benenson, Jan Hendrik Hosang, Matthias Hein, Bernt Schiele
Simple Does It: Weakly Supervised Instance and Semantic Segmentation. CVPR 2017: 1665-1674 - [c6]Federico Perazzi, Anna Khoreva, Rodrigo Benenson, Bernt Schiele
Learning Video Object Segmentation from Static Images. CVPR 2017: 3491-3500 - [c5]Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
Exploiting Saliency for Object Segmentation from Image Level Labels. CVPR 2017: 5038-5047 - [i6]Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele:
Exploiting saliency for object segmentation from image level labels. CoRR abs/1701.08261 (2017) - [i5]Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele:
Lucid Data Dreaming for Object Tracking. CoRR abs/1703.09554 (2017) - 2016
- [c4]Anna Khoreva, Rodrigo Benenson, Mohamed Omran, Matthias Hein, Bernt Schiele
Weakly Supervised Object Boundaries. CVPR 2016: 183-192 - [c3]Anna Khoreva, Rodrigo Benenson, Fabio Galasso
Improved Image Boundaries for Better Video Segmentation. ECCV Workshops (3) 2016: 773-788 - [i4]Anna Khoreva, Rodrigo Benenson, Jan Hendrik Hosang, Matthias Hein, Bernt Schiele:
Weakly Supervised Semantic Labelling and Instance Segmentation. CoRR abs/1603.07485 (2016) - [i3]Anna Khoreva, Rodrigo Benenson, Fabio Galasso, Matthias Hein, Bernt Schiele:
Improved Image Boundaries for Better Video Segmentation. CoRR abs/1605.03718 (2016) - [i2]Anna Khoreva, Federico Perazzi, Rodrigo Benenson, Bernt Schiele, Alexander Sorkine-Hornung:
Learning Video Object Segmentation from Static Images. CoRR abs/1612.02646 (2016) - 2015
- [c2]Anna Khoreva, Fabio Galasso
Classifier based graph construction for video segmentation. CVPR 2015: 951-960 - [i1]Anna Khoreva, Rodrigo Benenson, Mohamed Omran, Matthias Hein, Bernt Schiele:
Weakly Supervised Object Boundaries. CoRR abs/1511.07803 (2015) - 2014
- [c1]Anna Khoreva, Fabio Galasso
Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering. GCPR 2014: 701-712
Coauthor Index
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