Quentin Bouniot
7 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
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The Questioner
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Research topics
Keywords
object detection
(2)
contrastive learning
(1)
semi-supervised learning
(1)
few-shot learning
(1)
unsupervised pretraining
(1)
model calibration
(1)
optimal transport
(1)
knowledge distillation
(1)
data augmentation
(1)
generative model
(1)
synthetic data
(1)
latent space
(1)
vision-language model
(1)
interpretable model
(1)
visual backbone
(1)
concept bottleneck model
(1)
affine transformation
(1)
student-teacher architecture
(1)
entropy-based metrics
(1)
deep learning architecture
(1)
Papers
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions
CVPR 2026
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
CVPR 2025
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
ICLR 2025
Tailoring Mixup to Data for Calibration
ICLR 2025
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
Improving Few-Shot Learning through Multi-task Representation Learning Theory
ECCV 2022