Marco Pedersoli
37 papers · 2014–2026 · 9 venues · across top CS/AI venues
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Machine Learning
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Computer Vision
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Analysis
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Artificial Intelligence
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Keywords
object detection
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weakly supervised learning
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domain adaptation
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convolutional neural network
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domain generalization
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multi-source domain adaptation
(4)
contrastive learning
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transfer learning
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multimodal learning
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code generation
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medical image segmentation
(2)
neural architecture search
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feature learning
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object localization
(2)
vision-language model
(2)
semi-supervised learning
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data augmentation
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semantic segmentation
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person re-identification
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class activation mapping
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Papers
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization
WACV 2026
Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification
WACV 2026
MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training
WACV 2026
Pretraining Helps When Capacity Allows: Evidence from Ultra-Small ConvNets
WACV 2026
WiSE-OD: Benchmarking Robustness in Infrared Object Detection
WACV 2026
A Realistic Protocol for Evaluation of Weakly Supervised Object Localization
WACV 2025
Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
WACV 2025
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
ICLR 2025
Iterative Monte Carlo Tree Search for Neural Architecture Search
AutoML 2025
Mixed Patch Visible-Infrared Modality Agnostic Object Detection
WACV 2025
StarVector: Generating Scalable Vector Graphics Code from Images and Text
AAAI 2025
StarVector: Generating Scalable Vector Graphics Code from Images and Text
CVPR 2025
Visual Modality Prompt for Adapting Vision-Language Object Detectors
ICCV 2025
Bag of Tricks for Fully Test-Time Adaptation
WACV 2024
Domain Generalization by Rejecting Extreme Augmentations
WACV 2024
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
WACV 2024
Modality Translation for Object Detection Adaptation without forgetting prior knowledge
ECCV 2024
Multi-Source Domain Adaptation for Object Detection With Prototype-Based Mean Teacher
WACV 2024
Balanced Mixture of Supernets for Learning the CNN Pooling Architecture
AutoML 2023
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID
WACV 2023
OCR-VQGAN: Taming Text-Within-Image Generation
WACV 2023
Re-Basin via Implicit Sinkhorn Differentiation
CVPR 2023
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
WACV 2022
Negative Evidence Matters in Interpretable Histology Image Classification
MIDL 2022
Augmented Lagrangian Adversarial Attacks
ICCV 2021
Learning Data Augmentation With Online Bilevel Optimization for Image Classification
WACV 2021
On the Texture Bias for Few-Shot CNN Segmentation
WACV 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
NeurIPS 2021
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition
WACV 2021
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
ECCV 2020
Mutual information deep regularization for semi-supervised segmentation
MIDL 2020
Areas of Attention for Image Captioning
ICCV 2017
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
ICCV 2015
Learning Where to Position Parts in 3D
ICCV 2015
Weakly Supervised Object Detection With Convex Clustering
CVPR 2015
Object Classification with Adaptable Regions
CVPR 2014
Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision
CVPR 2014