Marco Pedersoli

Orcid: 0000-0002-7601-8640

According to our database1, Marco Pedersoli authored at least 105 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Boundary-aware information maximization for self-supervised medical image segmentation.
Medical Image Anal., 2024

Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition.
CoRR, 2024

Source-Free Domain Adaptation for YOLO Object Detection.
CoRR, 2024

Multi Teacher Privileged Knowledge Distillation for Multimodal Expression Recognition.
CoRR, 2024

Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild.
CoRR, 2024

WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average.
CoRR, 2024

MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection.
CoRR, 2024

Realistic Model Selection for Weakly Supervised Object Localization.
CoRR, 2024

Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge.
CoRR, 2024

Do not trust what you trust: Miscalibration in Semi-supervised Learning.
CoRR, 2024

Joint Multimodal Transformer for Dimensional Emotional Recognition in the Wild.
CoRR, 2024

Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection.
CoRR, 2024

Bag of Tricks for Fully Test-Time Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Domain Generalization by Rejecting Extreme Augmentations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Masked Multi-Query Slot Attention for Unsupervised Object Discovery.
Proceedings of the International Joint Conference on Neural Networks, 2024

Subject-Based Domain Adaptation for Facial Expression Recognition.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Joint Multimodal Transformer for Emotion Recognition in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

2023
DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization.
Image Vis. Comput., December, 2023

Shape-Aware Joint Distribution Alignment for Cross-Domain Image Segmentation.
IEEE Trans. Medical Imaging, 2023

CAT: Constrained Adversarial Training for Anatomically-Plausible Semi-Supervised Segmentation.
IEEE Trans. Medical Imaging, 2023

StarVector: Generating Scalable Vector Graphics Code from Images.
CoRR, 2023

Density Crop-guided Semi-supervised Object Detection in Aerial Images.
CoRR, 2023

Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images.
CoRR, 2023

CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos.
CoRR, 2023

OCR-VQGAN: Taming Text-within-Image Generation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

FigGen: Text to Scientific Figure Generation.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Cascaded Zoom-in Detector for High Resolution Aerial Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Re-basin via implicit Sinkhorn differentiation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Balanced Mixture of Supernets for Learning the CNN Pooling Architecture.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Incremental multi-target domain adaptation for object detection with efficient domain transfer.
Pattern Recognit., 2022

Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization.
CoRR, 2022

A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition.
CoRR, 2022

F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Negative Evidence Matters in Interpretable Histology Image Classification.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes.
Proceedings of the International Joint Conference on Neural Networks, 2022

Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Deep Clustering: On the Link Between Discriminative Models and K-Means.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Self-paced and self-consistent co-training for semi-supervised image segmentation.
Medical Image Anal., 2021

Diversified Multi-prototype Representation for Semi-supervised Segmentation.
CoRR, 2021

F-CAM: Full Resolution CAM via Guided Parametric Upscaling.
CoRR, 2021

Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels.
CoRR, 2021

Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization.
CoRR, 2021

Learning Data Augmentation with Online Bilevel Optimization for Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On the Texture Bias for Few-Shot CNN Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Augmented Lagrangian Adversarial Attacks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Deep co-training for semi-supervised image segmentation.
Pattern Recognit., 2020

Discretely-constrained deep network for weakly supervised segmentation.
Neural Networks, 2020

Metric learning: cross-entropy vs. pairwise losses.
CoRR, 2020

Semi-supervised few-shot learning for medical image segmentation.
CoRR, 2020

Mutual information deep regularization for semi-supervised segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

RADARSAT-2 Synthetic-Aperture Radar Land Cover Segmentation Using Deep Convolutional Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Progressive Gradient Pruning for Classification, Detection and Domain Adaptation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Convolutional STN for Weakly Supervised Object Localization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Convolutional STN for Weakly Supervised Object Localization and Beyond.
CoRR, 2019

A Computing Kernel for Network Binarization on PyTorch.
CoRR, 2019

Information based Deep Clustering: An experimental study.
CoRR, 2019

Adversarial Learning of General Transformations for Data Augmentation.
CoRR, 2019

Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition.
CoRR, 2019

Unsupervised Exemplar-Based Learning for Improved Document Image Classification.
IEEE Access, 2019

Emotion Recognition with Spatial Attention and Temporal Softmax Pooling.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018
An Attention Model for Group-Level Emotion Recognition.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

2017
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers.
Int. J. Comput. Vis., 2017

Modeling Information Flow Through Deep Neural Networks.
CoRR, 2017

Areas of Attention for Image Captioning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Towards Automatic Image Editing: Learning to See another You.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
A coarse-to-fine approach for fast deformable object detection.
Pattern Recognit., 2015

Combining where and what in change detection for unsupervised foreground learning in surveillance.
Pattern Recognit., 2015

An Elastic Deformation Field Model for Object Detection and Tracking.
Int. J. Comput. Vis., 2015

Factorized appearances for object detection.
Comput. Vis. Image Underst., 2015

Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Learning Where to Position Parts in 3D.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Weakly supervised object detection with convex clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Toward Real-Time Pedestrian Detection Based on a Deformable Template Model.
IEEE Trans. Intell. Transp. Syst., 2014

Coupling video segmentation and action recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Face Detection without Bells and Whistles.
Proceedings of the Computer Vision - ECCV 2014, 2014

Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Object Classification with Adaptable Regions.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Is 2D Information Enough For Viewpoint Estimation?.
Proceedings of the British Machine Vision Conference, 2014

Weakly Supervised Detection with Posterior Regularization.
Proceedings of the British Machine Vision Conference, 2014

A Scalable 3D HOG Model for Fast Object Detection and Viewpoint Estimation.
Proceedings of the 2nd International Conference on 3D Vision, 2014

2013
Exploiting Multimodal Interaction Techniques for Video-Surveillance.
Proceedings of the Multimodal Interaction in Image and Video Applications, 2013

2012
Hierarchical multiresolution models for fast object detection.
PhD thesis, 2012

2011
Efficient discriminative multiresolution cascade for real-time human detection applications.
Pattern Recognit. Lett., 2011

On Importance of Interactions and Context in Human Action Recognition.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

A coarse-to-fine approach for fast deformable object detection.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
On tracking inside groups.
Mach. Vis. Appl., 2010

Recursive Coarse-to-Fine Localization for Fast Object Detection.
Proceedings of the Computer Vision - ECCV 2010, 2010

2009
High-Speed Human Detection Using a Multiresolution Cascade of Histograms of Oriented Gradients.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2008
Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients.
Proceedings of the Computer Recognition Systems 2, 2008

View-Invariant Human Action Detection Using Component-Wise HMM of Body Parts.
Proceedings of the Articulated Motion and Deformable Objects, 5th International Conference, 2008


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