Eirikur Agustsson
18 papers · 2017–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
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Keyword Champion
(4)
π
Trend Setter
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(72)
Venues
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(11)
Computer Vision
(10)
Models
(10)
Processing
(8)
Learning Types Β· Deep Learning
(5)
Architectures
(4)
Core Methods
(4)
Generation
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(3)
Learning Types Β· Machine Learning
(3)
Computer Science
(1)
Keywords
image compression
(5)
neural compression
(4)
generative adversarial network
(3)
representation learning
(3)
generative model
(3)
lossy compression
(3)
image segmentation
(2)
entropy coding
(2)
neural network
(2)
image generation
(2)
video compression
(2)
variational autoencoder
(2)
vector quantization
(2)
rate distortion
(2)
learned image compression
(2)
instance segmentation
(1)
learned compression
(1)
video generation
(1)
probabilistic modeling
(1)
image classification
(1)
Papers
Extending Video Masked Autoencoders to 128 frames
NeurIPS 2024
Finite Scalar Quantization: VQ-VAE Made Simple
ICLR 2024
Multi-Realism Image Compression With a Conditional Generator
CVPR 2023
Neural Video Compression Using GANs for Detail Synthesis and Propagation
ECCV 2022
VCT: A Video Compression Transformer
NeurIPS 2022
High-Fidelity Generative Image Compression
NeurIPS 2020
Scale-Space Flow for End-to-End Optimized Video Compression
CVPR 2020
Universally Quantized Neural Compression
NeurIPS 2020
Generative Adversarial Networks for Extreme Learned Image Compression
ICCV 2019
Interactive Full Image Segmentation by Considering All Regions Jointly
CVPR 2019
Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models
ICLR 2019
Practical Full Resolution Learned Lossless Image Compression
CVPR 2019
Conditional Probability Models for Deep Image Compression
CVPR 2018
Deep Generative Models for Distribution-Preserving Lossy Compression
NeurIPS 2018
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks
CVPR 2018
Towards Image Understanding from Deep Compression Without Decoding
ICLR 2018
Anchored Regression Networks Applied to Age Estimation and Super Resolution
ICCV 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
NeurIPS 2017