Anna Khoreva

Orcid: 0000-0003-4292-4810

According to our database1, Anna Khoreva authored at least 37 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization.
Int. J. Comput. Vis., February, 2024

Generating novel scene compositions from single images and videos.
Comput. Vis. Image Underst., February, 2024

Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators.
CoRR, 2024

Domain-Aware Fine-Tuning of Foundation Models.
CoRR, 2024

Label-free Neural Semantic Image Synthesis.
CoRR, 2024

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis.
CoRR, 2024

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
One-Shot Synthesis of Images and Segmentation Masks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Intra-Source Style Augmentation for Improved Domain Generalization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Discovering Class-Specific GAN Controls for Semantic Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Divide & Bind Your Attention for Improved Generative Semantic Nursing.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
OASIS: Only Adversarial Supervision for Semantic Image Synthesis.
Int. J. Comput. Vis., 2022

2021
Learning to Generate Novel Scene Compositions from Single Images and Videos.
CoRR, 2021

You Only Need Adversarial Supervision for Semantic Image Synthesis.
Proceedings of the 9th International Conference on Learning Representations, 2021

One-Shot GAN: Learning To Generate Samples From Single Images and Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis.
CoRR, 2020

3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

A U-Net Based Discriminator for Generative Adversarial Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Lucid Data Dreaming for Video Object Segmentation.
Int. J. Comput. Vis., 2019

PA-GAN: Improving GAN Training by Progressive Augmentation.
CoRR, 2019

Progressive Augmentation of GANs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Grid Saliency for Context Explanations of Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Short-Term Prediction and Multi-Camera Fusion on Semantic Grids.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Video Object Segmentation with Referring Expressions.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning to Refine Human Pose Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Video Object Segmentation with Language Referring Expressions.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Learning to segment in images and videos with different forms of supervision.
PhD thesis, 2017

Lucid Data Dreaming for Object Tracking.
CoRR, 2017

Learning Video Object Segmentation from Static Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Saliency for Object Segmentation from Image Level Labels.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Simple Does It: Weakly Supervised Instance and Semantic Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Weakly Supervised Semantic Labelling and Instance Segmentation.
CoRR, 2016

Improved Image Boundaries for Better Video Segmentation.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Weakly Supervised Object Boundaries.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Classifier based graph construction for video segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering.
Proceedings of the Pattern Recognition - 36th German Conference, 2014


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