Artikelen met mandaten voor openbare toegang - Kurt DebattistaMeer informatie
Nergens beschikbaar: 6
Evaluation of Tone‐Mapping Operators for HDR Video Under Different Ambient Luminance Levels
M Melo, M Bessa, K Debattista, A Chalmers
Computer Graphics Forum 34 (8), 38-49, 2015
Mandaten: Fundação para a Ciência e a Tecnologia, Portugal, European Commission
Subjective evaluation of high-fidelity virtual environments for driving simulations
K Debattista, T Bashford-Rogers, C Harvey, B Waterfield, A Chalmers
IEEE Transactions on Human-Machine Systems 48 (1), 30-40, 2017
Mandaten: UK Engineering and Physical Sciences Research Council
Multi‐Modal Perception for Selective Rendering
C Harvey, K Debattista, T Bashford‐Rogers, A Chalmers
Computer Graphics Forum 36 (1), 172-183, 2017
Mandaten: UK Engineering and Physical Sciences Research Council
Calibrated measurement of imager dynamic range
B Karr, K Debattista, A Chalmers
High Dynamic Range Video, 87-108, 2017
Mandaten: European Commission
Parametric Physics-Based Snow Model for Automotive Cameras
PH Chan, K Debattista, V Donzella
2024 IEEE SENSORS, 01-04, 2024
Mandaten: UK Research & Innovation
Recognising place under distinct weather variability, a comparison between end-to-end and metric learning approaches
S Role, D Marnerides, K Debattista, S Cavazzi, M Dianati
2022 IEEE Intelligent Vehicles Symposium (IV), 1360-1365, 2022
Mandaten: UK Research & Innovation
Ergens beschikbaar: 32
Expandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content
D Marnerides, T Bashford‐Rogers, J Hatchett, K Debattista
Computer Graphics Forum 37 (2), 37-49, 2018
Mandaten: UK Engineering and Physical Sciences Research Council, Royal Society UK
Textual context-aware dense captioning with diverse words
Z Shao, J Han, K Debattista, Y Pang
IEEE Transactions on Multimedia 25, 8753-8766, 2023
Mandaten: National Natural Science Foundation of China
Semi-supervised unpaired medical image segmentation through task-affinity consistency
J Chen, J Zhang, K Debattista, J Han
IEEE Transactions on Medical Imaging 42 (3), 594-605, 2022
Mandaten: National Natural Science Foundation of China
Objective and subjective evaluation of high dynamic range video compression
R Mukherjee, K Debattista, T Bashford-Rogers, P Vangorp, R Mantiuk, ...
Signal Processing: Image Communication 47, 426-437, 2016
Mandaten: UK Engineering and Physical Sciences Research Council
A machine-learning-driven sky model
P Satilmis, T Bashford-Rogers, A Chalmers, K Debattista
IEEE computer graphics and applications 37 (1), 80-91, 2016
Mandaten: UK Engineering and Physical Sciences Research Council
Frame rate vs resolution: A subjective evaluation of spatiotemporal perceived quality under varying computational budgets
K Debattista, K Bugeja, S Spina, T Bashford‐Rogers, V Hulusic
Computer Graphics Forum 37 (1), 363-374, 2018
Mandaten: Royal Society UK
Evaluation of HDR video tone mapping for mobile devices
M Melo, M Bessa, K Debattista, A Chalmers
Signal Processing: Image Communication 29 (2), 247-256, 2014
Mandaten: UK Engineering and Physical Sciences Research Council, European Commission
Subjective and objective evaluation of local dimming algorithms for HDR images
L Duan, K Debattista, Z Lei, A Chalmers
IEEE Access 8, 51692-51702, 2020
Mandaten: UK Arts & Humanities Research Council
DCMSTRD: end-to-end dense captioning via multi-scale transformer decoding
Z Shao, J Han, K Debattista, Y Pang
IEEE Transactions on Multimedia, 2024
Mandaten: National Natural Science Foundation of China
Uniform color space-based high dynamic range video compression
R Mukherjee, K Debattista, TB Rogers, M Bessa, A Chalmers
IEEE Transactions on Circuits and Systems for Video Technology 29 (7), 2055-2066, 2018
Mandaten: UK Engineering and Physical Sciences Research Council, Royal Society UK
Audio-visual-olfactory resource allocation for tri-modal virtual environments
E Doukakis, K Debattista, T Bashford-Rogers, A Dhokia, A Asadipour, ...
IEEE transactions on visualization and computer graphics 25 (5), 1865-1875, 2019
Mandaten: UK Engineering and Physical Sciences Research Council
Importance driven environment map sampling
T Bashford-Rogers, K Debattista, A Chalmers
IEEE transactions on visualization and computer graphics 20 (6), 907-918, 2013
Mandaten: UK Engineering and Physical Sciences Research Council
Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation
J Chen, C Chen, W Huang, J Zhang, K Debattista, J Han
Pattern Recognition 145, 109881, 2024
Mandaten: National Natural Science Foundation of China
Application‐Specific Tone Mapping Via Genetic Programming
K Debattista
Computer Graphics Forum 37 (1), 439-450, 2018
Mandaten: Royal Society UK
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