Rafal Mantiuk
4 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird ❓ The Questioner
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Venues
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Research topics
Keywords
stochastic optimization
(1)
active learning
(1)
langevin dynamics
(1)
neural network training
(1)
computer vision
(1)
self-supervised learning
(1)
bayesian sampling
(1)
bayesian optimization
(1)
human visual system
(1)
bradley-terry model
(1)
foundation model
(1)
pairwise preference
(1)
active sampling
(1)
contrast detection
(1)
expected information gain
(1)
pairwise preference aggregation
(1)
continuous tempering
(1)
Papers
Do Computer Vision Foundation Models Learn the Low-level Characteristics of the Human Visual System?
CVPR 2025
Hypernetworks for Generalizable BRDF Representation
ECCV 2024
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
NeurIPS 2018
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
NeurIPS 2017