Christophe De Vleeschouwer
9 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🌍 Conference Polyglot · Silver
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The Questioner
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Conference Pioneer
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Keyword Collector
(50)
Top co-authors
Research topics
Machine Learning
(8)
Computer Vision
(4)
Deep Learning
(4)
Core Methods
(4)
Optimization & Theory
(4)
Analysis
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Core AI
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Processing
(1)
Techniques
(1)
Keywords
neural network pruning
(1)
representation learning
(1)
zero-shot learning
(1)
domain adaptation
(1)
feature extraction
(1)
transductive learning
(1)
label propagation
(1)
feature embedding
(1)
test-time adaptation
(1)
energy minimization
(1)
person re-identification
(1)
piecewise planar
(1)
image compression
(1)
joint learning
(1)
image denoising
(1)
graph construction
(1)
locally linear embedding
(1)
multi-object tracking
(1)
distribution shift
(1)
model compression
(1)
Papers
Realistic Test-Time Adaptation of Vision-Language Models
CVPR 2025
Keypoint Promptable Re-Identification
ECCV 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
ECCV 2024
Are Straight-Through Gradients and Soft-Thresholding All You Need for Sparse Training?
WACV 2023
Body Part-Based Representation Learning for Occluded Person Re-Identification
WACV 2023
On the Importance of Denoising When Learning To Compress Images
WACV 2023
Intraclass clustering: an implicit learning ability that regularizes DNNs
ICLR 2021
Piecewise-Planar 3D Approximation From Wide-Baseline Stereo
CVPR 2016
Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features
ICCV 2013