Matthieu Guillaumin
8 papers · 2013–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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Keyword Pioneer
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Trend Setter
ποΈ
Keyword Collector
(50)
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Conference Pioneer
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Computer Vision
(6)
Analysis
(5)
Core Methods
(4)
Learning Types
(4)
Mathematics & Optimization
(2)
Core AI
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Domain-Specific
(1)
Foundations
(1)
Learning Paradigms
(1)
Keywords
random forest
(2)
image classification
(2)
3d reconstruction
(1)
similarity learning
(1)
knowledge distillation
(1)
feature matching
(1)
energy minimization
(1)
image matching
(1)
superpixel segmentation
(1)
image compression
(1)
object localization
(1)
3d object understanding
(1)
kernel learning
(1)
time series
(1)
discrete optimization
(1)
incremental learning
(1)
graph optimization
(1)
category hierarchy
(1)
feature mapping
(1)
contrastive learning
(1)
Papers
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
WACV 2025
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
CVPR 2022
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement
CVPR 2015
Incremental Learning of NCM Forests for Large-Scale Image Classification
CVPR 2014
Quantized Kernel Learning for Feature Matching
NeurIPS 2014
Event Recognition in Photo Collections with a Stopwatch HMM
ICCV 2013
Fast Energy Minimization Using Learned State Filters
CVPR 2013
Prime Object Proposals with Randomized Prim's Algorithm
ICCV 2013