Angélique Loesch
5 papers · 2022–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)
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The Questioner
Conferences
WACV (3)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
unsupervised learning
(1)
semi-supervised learning
(1)
few-shot learning
(1)
uncertainty quantification
(1)
object detection
(1)
self-supervised learning
(1)
depth estimation
(1)
monocular depth estimation
(1)
optical flow estimation
(1)
probabilistic model
(1)
autonomous vehicle
(1)
video frame
(1)
student-teacher architecture
(1)
depth prediction
(1)
photometric loss
(1)
brightness change
(1)
deformable detr
(1)
interpretable uncertainty
(1)
Papers
MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty
WACV 2024
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
ICLR 2023
Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient?
WACV 2023
BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow
WACV 2023
Improving Few-Shot Learning through Multi-task Representation Learning Theory
ECCV 2022