Marco Pedersoli

37 papers · 2014–2026 · 9 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🏃 Academic Marathon (12) 🗺️ Taxonomy Completionist (57)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🔬 Deep Specialist (10) 👥 Mega-Team (39) 🌱 Topic Pioneer 🤝 Dynamic Duo (20) 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable (7) 🗃️ Keyword Collector (136) 💎 Century Club (37) ⚡ Prolific Year (5)

Conferences

WACV (18) CVPR (5) ICCV (5) AUTOML (2) ECCV (2) MIDL (2) AAAI (1) ICLR (1) NIPS (1)

Top co-authors

Eric Granger (20) Ismail Ben Ayed (7) Masih Aminbeidokhti (7) Atif Belal (5) David Vázquez (5) Tinne Tuytelaars (5) Heitor Rapela Medeiros (5) Heitor R. Medeiros (4) Juan A. Rodriguez (4) Fidel A. Guerrero Peña (3)

Research topics

Optimization & Theory (1)

Keywords

object detection (8) weakly supervised learning (6) domain adaptation (5) multi-source domain adaptation (4) convolutional neural network (4) domain generalization (4) transfer learning (3) contrastive learning (3) vision-language model (2) feature learning (2) medical image segmentation (2) object localization (2) class activation mapping (2) semi-supervised learning (2) multimodal learning (2) code generation (2) semantic segmentation (2) data augmentation (2) person re-identification (2) infrared imaging (2)

Papers

Pretraining Helps When Capacity Allows: Evidence from Ultra-Small ConvNets WACV 2026 MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training WACV 2026 WiSE-OD: Benchmarking Robustness in Infrared Object Detection WACV 2026 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 StarVector: Generating Scalable Vector Graphics Code from Images and Text CVPR 2025 StarVector: Generating Scalable Vector Graphics Code from Images and Text AAAI 2025 Mixed Patch Visible-Infrared Modality Agnostic Object Detection WACV 2025 Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors WACV 2025 A Realistic Protocol for Evaluation of Weakly Supervised Object Localization WACV 2025 Visual Modality Prompt for Adapting Vision-Language Object Detectors ICCV 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 HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information WACV 2024 Bag of Tricks for Fully Test-Time Adaptation WACV 2024 Domain Generalization by Rejecting Extreme Augmentations 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 OCR-VQGAN: Taming Text-Within-Image Generation WACV 2023 Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID WACV 2023 Re-Basin via Implicit Sinkhorn Differentiation CVPR 2023 Balanced Mixture of Supernets for Learning the CNN Pooling Architecture AUTOML 2023 Negative Evidence Matters in Interpretable Histology Image Classification MIDL 2022 F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling WACV 2022 Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels NIPS 2021 Learning Data Augmentation With Online Bilevel Optimization for Image Classification WACV 2021 Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition WACV 2021 Augmented Lagrangian Adversarial Attacks ICCV 2021 On the Texture Bias for Few-Shot CNN Segmentation 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 Learning Where to Position Parts in 3D ICCV 2015 DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers ICCV 2015 Weakly Supervised Object Detection With Convex Clustering CVPR 2015 Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision CVPR 2014 Object Classification with Adaptable Regions CVPR 2014