Eirikur Agustsson

According to our database1, Eirikur Agustsson authored at least 43 papers between 2014 and 2023.

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Bibliography

2023
Finite Scalar Quantization: VQ-VAE Made Simple.
CoRR, 2023

High-Fidelity Image Compression with Score-based Generative Models.
CoRR, 2023

M2T: Masking Transformers Twice for Faster Decoding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Realism Image Compression with a Conditional Generator.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
VCT: A Video Compression Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Video Compression Using GANs for Detail Synthesis and Propagation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Nonlinear Transform Coding.
IEEE J. Sel. Top. Signal Process., 2021

Towards Generative Video Compression.
CoRR, 2021

On the advantages of stochastic encoders.
CoRR, 2021

2020
Image compression via super-resolution and generative models.
PhD thesis, 2020

High-Fidelity Generative Image Compression.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Universally Quantized Neural Compression.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Scale-Space Flow for End-to-End Optimized Video Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

Generative Adversarial Networks for Extreme Learned Image Compression.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Practical Full Resolution Learned Lossless Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Interactive Full Image Segmentation by Considering All Regions Jointly.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Interactive Full Image Segmentation.
CoRR, 2018

Deep Generative Models for Distribution-Preserving Lossy Compression.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Image Understanding from Deep Compression Without Decoding.
Proceedings of the 6th International Conference on Learning Representations, 2018

ComboGAN: Unrestricted Scalability for Image Domain Translation.
Proceedings of the 6th International Conference on Learning Representations, 2018

CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Generative Adversarial Style Transfer Networks for Face Aging.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Conditional Probability Models for Deep Image Compression.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

ComboGAN: Unrestrained Scalability for Image Domain Translation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Extreme Learned Image Compression with GANs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Almost Lossless Analog Signal Separation and Probabilistic Uncertainty Relations.
IEEE Trans. Inf. Theory, 2017

WebVision Database: Visual Learning and Understanding from Web Data.
CoRR, 2017

WebVision Challenge: Visual Learning and Understanding With Web Data.
CoRR, 2017

Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.
CoRR, 2017

k^2 k 2 -means for Fast and Accurate Large Scale Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Anchored Regression Networks Applied to Age Estimation and Super Resolution.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017


NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
k2-means for fast and accurate large scale clustering.
CoRR, 2016

Regressor Basis Learning for anchored super-resolution.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

From Face Images and Attributes to Attributes.
Proceedings of the Computer Vision - ACCV 2016, 2016

2014
Neighborhood selection for thresholding-based subspace clustering.
Proceedings of the IEEE International Conference on Acoustics, 2014


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