Steven McDonagh
17 papers · 2020–2026 · 9 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 · Silver 🗺️ Taxonomy Completionist (48)
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Topic Evolution
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Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
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Research topics
Computer Vision
(12)
Deep Learning
(12)
Machine Learning
(12)
Core Methods
(7)
Learning Types · Deep Learning
(6)
Processing
(6)
Artificial Intelligence
(5)
Learning Types · Machine Learning
(5)
Analysis
(4)
Architectures
(4)
Core AI
(4)
Models
(4)
Application Areas
(3)
Optimization & Theory
(3)
Bayesian & Probabilistic
(2)
Keywords
image denoising
(3)
probabilistic modeling
(2)
attention mechanism
(2)
depth estimation
(2)
image restoration
(2)
convolutional neural network
(2)
few-shot learning
(1)
multi-task learning
(1)
image classification
(1)
transfer learning
(1)
bayesian inference
(1)
density estimation
(1)
style transfer
(1)
object detection
(1)
semantic segmentation
(1)
knowledge transfer
(1)
manifold learning
(1)
self-supervised learning
(1)
data augmentation
(1)
prototype learning
(1)
Papers
GaussianHeadTalk: Wobble-Free 3D Talking Heads with Audio Driven Gaussian Splatting
WACV 2026
einspace: Searching for Neural Architectures from Fundamental Operations
NeurIPS 2024
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
MIDL 2024
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation
CVPR 2024
Multi-task Learning with 3D-Aware Regularization
ICLR 2024
Learning To Name Classes for Vision and Language Models
CVPR 2023
Spread Flows for Manifold Modelling
AISTATS 2023
Tunable Convolutions With Parametric Multi-Loss Optimization
CVPR 2023
CroMo: Cross-Modal Learning for Monocular Depth Estimation
CVPR 2022
Long-Tail Recognition via Compositional Knowledge Transfer
CVPR 2022
Model-Based Image Signal Processors via Learnable Dictionaries
AAAI 2022
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
IJCAI 2022
On the Out-of-distribution Generalization of Probabilistic Image Modelling
NeurIPS 2021
A Multi-Hypothesis Approach to Color Constancy
CVPR 2020
DeepLPF: Deep Local Parametric Filters for Image Enhancement
CVPR 2020
Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping
ECCV 2020
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection
ECCV 2020