Matthew Johnson
12 papers · 2014–2022 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
Top co-authors
Research topics
Keywords
time series
(3)
bayesian inference
(3)
3d reconstruction
(1)
bayesian nonparametrics
(1)
neural rendering
(1)
model-based reinforcement learning
(1)
linear quadratic regulator
(1)
scalable inference
(1)
stochastic variational inference
(1)
hierarchical structure
(1)
hidden markov model
(1)
switching linear dynamical system
(1)
neural radiance field
(1)
photorealistic rendering
(1)
recurrent model
(1)
deep generative model
(1)
robotics task
(1)
view synthesis
(1)
federated architecture
(1)
multi-tenant controller
(1)
Papers
3D Face Reconstruction with Dense Landmarks
ECCV 2022
FastNeRF: High-Fidelity Neural Rendering at 200FPS
ICCV 2021
CONFIG: Controllable Neural Face Image Generation
ECCV 2020
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images
ECCV 2020
Scaling Community Cellular Networks with CommunityCellularManager
NSDI 2019
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
ICML 2019
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
AISTATS 2018
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems
AISTATS 2017
Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders
JMLR 2016
The Malmo Platform for Artificial Intelligence Experimentation
IJCAI 2016
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM
ICML 2016
Stochastic Variational Inference for Bayesian Time Series Models
ICML 2014