David Minnen
12 papers · 2017–2024 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20)
🧭
Keyword Pioneer
🏆
Keyword Champion
(3)
👥
Mega-Team · Squad
💎
Century Club · Bronze
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Deep Learning
(9)
Models
(7)
Machine Learning
(5)
Architectures
(5)
Computer Vision
(4)
Processing
(4)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Application Areas
(2)
Core AI
(2)
Generation · Computer Vision
(2)
Core Methods
(1)
Generation · Natural Language Processing
(1)
Learning Paradigms
(1)
Keywords
image compression
(4)
video generation
(3)
rate distortion
(3)
latent representation
(2)
recurrent neural network
(2)
video compression
(2)
neural compression
(2)
image generation
(2)
optical flow
(1)
data compression
(1)
conditional generation
(1)
transfer learning
(1)
vector quantization
(1)
generative model
(1)
variational autoencoder
(1)
deep learning
(1)
convolutional network
(1)
autoregressive model
(1)
entropy coding
(1)
transformer
(1)
Papers
Finite Scalar Quantization: VQ-VAE Made Simple
ICLR 2024
Language Model Beats Diffusion - Tokenizer is key to visual generation
ICLR 2024
VideoPoet: A Large Language Model for Zero-Shot Video Generation
ICML 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
Scale-Space Flow for End-to-End Optimized Video Compression
CVPR 2020
Integer Networks for Data Compression with Latent-Variable Models
ICLR 2019
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks
CVPR 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
NeurIPS 2018
Variational image compression with a scale hyperprior
ICLR 2018
Full Resolution Image Compression With Recurrent Neural Networks
CVPR 2017