David Minnen
12 papers · 2017–2024 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (5) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(5)
π
Academic Marathon
(7)
π
Keyword Champion
(3)
π₯
Mega-Team
(31)
π
Century Club
(12)
π
Conference Pioneer
Conferences
CVPR (4)
ICLR (4)
NIPS (2)
ECCV (1)
ICML (1)
Top co-authors
Keywords
image compression
(3)
rate distortion
(3)
recurrent neural network
(2)
video compression
(2)
neural compression
(2)
generative model
(1)
latent representation
(1)
convolutional network
(1)
perceptual quality
(1)
lossy compression
(1)
deep network
(1)
hierarchical prior
(1)
motion prediction
(1)
end-to-end optimization
(1)
neural video compression
(1)
motion compensation
(1)
learned image compression
(1)
neural network
(1)
entropy model
(1)
scale-space flow
(1)
Papers
Language Model Beats Diffusion - Tokenizer is key to visual generation
ICLR 2024
VideoPoet: A Large Language Model for Zero-Shot Video Generation
ICML 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
NIPS 2022
Scale-Space Flow for End-to-End Optimized Video Compression
CVPR 2020
Integer Networks for Data Compression with Latent-Variable Models
ICLR 2019
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
NIPS 2018
Variational image compression with a scale hyperprior
ICLR 2018
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks
CVPR 2018
Full Resolution Image Compression With Recurrent Neural Networks
CVPR 2017