Christian Desrosiers
26 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(23)
Application Areas
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Learning Types Β· Machine Learning
(15)
Computer Vision
(14)
Deep Learning
(13)
Analysis
(10)
Learning Types Β· Deep Learning
(8)
Artificial Intelligence
(6)
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Core AI Β· Artificial Intelligence
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(2)
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Keywords
domain adaptation
(9)
test-time adaptation
(6)
domain shift
(5)
unsupervised learning
(4)
test-time training
(4)
vision-language model
(4)
contrastive learning
(3)
medical image segmentation
(3)
point cloud
(3)
semantic segmentation
(2)
diffusion model
(2)
state space model
(2)
domain generalization
(2)
graph laplacian
(2)
convolutional neural network
(2)
feature map
(2)
semi-supervised learning
(2)
mutual information
(2)
image segmentation
(2)
3d vision
(2)
Papers
Exploring Entropy-based Active Learning for Fair Brain Segmentation
MIDL 2026
Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation
WACV 2026
NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation
WACV 2026
Revisiting Layer Normalization for Point Cloud Test Time Adaptation
WACV 2026
CLIPArTT: Adaptation of CLIP to New Domains at Test Time
WACV 2025
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
CVPR 2025
FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
WACV 2025
Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging
ICCV 2025
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
WACV 2025
Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport
MICCAI 2025
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
ICML 2025
Spectral Informed Mamba for Robust Point Cloud Processing
CVPR 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning
CVPR 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
WACV 2025
FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
MICCAI 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
WACV 2024
NC-TTT: A Noise Constrastive Approach for Test-Time Training
CVPR 2024
WATT: Weight Average Test Time Adaptation of CLIP
NeurIPS 2024
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID
WACV 2023
ClusT3: Information Invariant Test-Time Training
ICCV 2023
TTTFlow: Unsupervised Test-Time Training With Normalizing Flow
WACV 2023
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning
CVPR 2022
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
NeurIPS 2021
Mutual information deep regularization for semi-supervised segmentation
MIDL 2020
Boundary loss for highly unbalanced segmentation
MIDL 2019
DOPE: Distributed Optimization for Pairwise Energies
CVPR 2017