Gregory Slabaugh
19 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐ Conference Polyglot (7) ๐ Academic Marathon (5) ๐ Renaissance Researcher (6) ๐บ๏ธ Taxonomy Completionist (37)
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Academic Marathon
(5)
๐
Renaissance Researcher
(6)
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Interdisciplinary Bridge
๐
Century Club
(19)
๐๏ธ
Keyword Collector
(78)
โก
Prolific Year
(11)
Conferences
CVPR (7)
ECCV (6)
WACV (2)
AAAI (1)
ICCV (1)
MIDL (1)
NIPS (1)
Top co-authors
Keywords
convolutional neural network
(3)
image restoration
(3)
image processing
(2)
medical imaging
(2)
multi-task learning
(1)
probabilistic modeling
(1)
continual learning
(1)
bayesian inference
(1)
image segmentation
(1)
image editing
(1)
image fusion
(1)
test-time adaptation
(1)
privacy preservation
(1)
image reconstruction
(1)
explainable ai
(1)
video super-resolution
(1)
domain adaptation
(1)
image translation
(1)
medical image segmentation
(1)
semantic segmentation
(1)
Papers
CAMS: Convolution and Attention-Free Mamba-Based Cardiac Image Segmentation
WACV 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
CVPR 2025
STaR: Seamless Spatial-Temporal Aware Motion Retargeting with Penetration and Consistency Constraints
ICCV 2025
Compositional Segmentation of Cardiac Images Leveraging Metadata
WACV 2025
Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins
MIDL 2024
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF
ECCV 2024
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement
ECCV 2024
Improving Dynamic HDR Imaging with Fusion Transformer
AAAI 2023
Wavelet-Based Dual-Branch Network for Image Demoirรฉing
ECCV 2020
Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping
ECCV 2020
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning
ECCV 2020
Reconstructing the Noise Variance Manifold for Image Denoising
ECCV 2020
Image Demoireing with Learnable Bandpass Filters
CVPR 2020
A Multi-Hypothesis Approach to Color Constancy
CVPR 2020
Video Super-Resolution With Temporal Group Attention
CVPR 2020
TESA: Tensor Element Self-Attention via Matricization
CVPR 2020
DeepLPF: Deep Local Parametric Filters for Image Enhancement
CVPR 2020
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem
CVPR 2020
Self-Adaptively Learning to Demoirรฉ from Focused and Defocused Image Pairs
NIPS 2020