Marco Pedersoli

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 109

Top Venues

Publications

Rishav Pramanik, José-Fabian Villa-Vásquez, Marco Pedersoli
Masked Multi-Query Slot Attention for Unsupervised Object Discovery. CoRR (2024)
Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher. WACV (2024)
Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues. CoRR (2024)
Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
Do not trust what you trust: Miscalibration in Semi-supervised Learning. CoRR (2024)
Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
Subject-Based Domain Adaptation for Facial Expression Recognition. FG (2024)
Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection. CoRR (2024)
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger
Realistic Model Selection for Weakly Supervised Object Localization. CoRR (2024)
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport. CoRR (2024)
Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
Bag of Tricks for Fully Test-Time Adaptation. WACV (2024)
Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues. FG (2024)
Louis Fournier, Adel Nabli, Masih Aminbeidokhti, Marco Pedersoli, Eugene Belilovsky, Edouard Oyallon
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average. CoRR (2024)
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport. FG (2024)
David Latortue, Moetez Kdayem, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting. WACV (Workshops) (2024)
Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. CoRR (2024)
Heitor Rapela Medeiros, David Latortue, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection. CoRR (2024)
Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers
Boundary-aware information maximization for self-supervised medical image segmentation. Medical Image Anal. 94 (2024)
Paul Waligora, Osama Zeeshan, Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
Joint Multimodal Transformer for Dimensional Emotional Recognition in the Wild. CoRR (2024)
Masih Aminbeidokhti, Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli
Domain Generalization by Rejecting Extreme Augmentations. WACV (2024)
Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A. Guerrero-Peña, David Latortue, Eric Granger, Marco Pedersoli
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge. CoRR (2024)
Heitor Rapela Medeiros, Fidel A. Guerrero-Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information. WACV (2024)
Nicolas Richet, Soufiane Belharbi, Haseeb Aslam, Meike Emilie Schadt, Manuela González-González, Gustave Cortal, Alessandro Lameiras Koerich, Marco Pedersoli, Alain Finkel, Simon Bacon, Eric Granger
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild. CoRR (2024)
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization. CoRR (2023)
Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. CoRR (2023)
Masih Aminbeidokhti, Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli
Domain Generalization by Rejecting Extreme Augmentations. CoRR (2023)
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
Shape-Aware Joint Distribution Alignment for Cross-Domain Image Segmentation. IEEE Trans. Medical Imaging 42 (8) (2023)
Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher. CoRR (2023)
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. WACV (Workshops) (2023)
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger
Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild. CVPR Workshops (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
OCR-VQGAN: Taming Text-within-Image Generation. WACV (2023)
Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro L. Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
Subject-Based Domain Adaptation for Facial Expression Recognition. CoRR (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
FigGen: Text to Scientific Figure Generation. CoRR (2023)
Akhil Meethal, Eric Granger, Marco Pedersoli
Cascaded Zoom-in Detector for High Resolution Aerial Images. CoRR (2023)
Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR (2023)
Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. WACV (2023)
Akhil Meethal, Eric Granger, Marco Pedersoli
Density Crop-guided Semi-supervised Object Detection in Aerial Images. CoRR (2023)
Heitor Rapela Medeiros, Fidel A. Guerrero-Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information. CoRR (2023)
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization. Image Vis. Comput. 140 (2023)
Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
Bag of Tricks for Fully Test-Time Adaptation. CoRR (2023)
Mehraveh Javan, Matthew Toews, Marco Pedersoli
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture. CoRR (2023)
David Latortue, Moetez Kdayem, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting. CoRR (2023)
Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
Re-basin via implicit Sinkhorn differentiation. CVPR (2023)
Akhil Meethal, Eric Granger, Marco Pedersoli
Cascaded Zoom-in Detector for High Resolution Aerial Images. CVPR Workshops (2023)
Juan A. Rodriguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli
StarVector: Generating Scalable Vector Graphics Code from Images. CoRR (2023)
Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli
Balanced Mixture of Supernets for Learning the CNN Pooling Architecture. AutoML (2023)
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
CAT: Constrained Adversarial Training for Anatomically-Plausible Semi-Supervised Segmentation. IEEE Trans. Medical Imaging 42 (8) (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
OCR-VQGAN: Taming Text-within-Image Generation. CoRR (2022)
Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras. ECCV Workshops (5) (2022)
Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. CoRR (2022)
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luck McCaffrey, Eric Granger
Negative Evidence Matters in Interpretable Histology Image Classification. MIDL (2022)
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization. CoRR (2022)
Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
Re-basin via implicit Sinkhorn differentiation. CoRR (2022)
Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. IJCNN (2022)
Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation. CoRR (2022)
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. WACV (2022)
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. CoRR (2022)
R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Patrick Cardinal, Eric Granger
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CVPR Workshops (2022)
Gnana Praveen Rajasekhar, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Patrick Cardinal, Eric Granger
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CoRR (2022)
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
Negative Evidence Matters in Interpretable Histology Image Classification. CoRR (2022)
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
Incremental multi-target domain adaptation for object detection with efficient domain transfer. Pattern Recognit. 129 (2022)
Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras. CoRR (2022)
Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. CoRR (2022)
Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
Augmented Lagrangian Adversarial Attacks. ICCV (2021)
Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV (2021)
Jizong Peng, Marco Pedersoli, Christian Desrosiers
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization. CoRR (2021)
Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli
Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels. CoRR (2021)
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer. CoRR (2021)
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
Self-paced and self-consistent co-training for semi-supervised image segmentation. Medical Image Anal. 73 (2021)
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
Context-aware virtual adversarial training for anatomically-plausible segmentation. CoRR (2021)
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
F-CAM: Full Resolution CAM via Guided Parametric Upscaling. CoRR (2021)
Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
On the Texture Bias for Few-Shot CNN Segmentation. WACV (2021)
Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed
Deep Clustering: On the Link Between Discriminative Models and K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation. MICCAI (1) (2021)
Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. WACV (2021)
Jizong Peng, Christian Desrosiers, Marco Pedersoli
Diversified Multi-prototype Representation for Semi-supervised Segmentation. CoRR (2021)
Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels. NeurIPS (2021)
Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
On the Texture Bias for Few-Shot CNN Segmentation. CoRR (2020)
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
Metric learning: cross-entropy vs. pairwise losses. CoRR (2020)
Jizong Peng, Marco Pedersoli, Christian Desrosiers
Mutual information deep regularization for semi-supervised segmentation. MIDL (2020)
Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers
Deep co-training for semi-supervised image segmentation. Pattern Recognit. 107 (2020)
Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger
Convolutional STN for Weakly Supervised Object Localization. ICPR (2020)
Mirmohammad Saadati, Marco Pedersoli, Patrick Cardinal, Peter Oliver
RADARSAT-2 Synthetic-Aperture Radar Land Cover Segmentation Using Deep Convolutional Neural Networks. ICPR Workshops (8) (2020)
Abdur R. Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz
Semi-supervised few-shot learning for medical image segmentation. CoRR (2020)
Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. CoRR (2020)
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin
Progressive Gradient Pruning for Classification, Detection and Domain Adaptation. ICPR (2020)
Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
Discretely-constrained deep network for weakly supervised segmentation. Neural Networks 130 (2020)
Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. CoRR (2020)
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
Self-paced and self-consistent co-training for semi-supervised image segmentation. CoRR (2020)
Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
Augmented Lagrangian Adversarial Attacks. CoRR (2020)
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) (2020)
Sherif Abuelwafa, Marco Pedersoli, Mohamed Cheriet
Unsupervised Exemplar-Based Learning for Improved Document Image Classification. IEEE Access 7 (2019)
Saypraseuth Mounsaveng, David Vázquez, Ismail Ben Ayed, Marco Pedersoli
Adversarial Learning of General Transformations for Data Augmentation. CoRR (2019)
Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger, Marco Pedersoli, Patrick Cardinal, Alessandro L. Koerich
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition. CoRR (2019)
Jizong Peng, Christian Desrosiers, Marco Pedersoli
Information based Deep Clustering: An experimental study. CoRR (2019)
Xianda Xu, Marco Pedersoli
A Computing Kernel for Network Binarization on PyTorch. CoRR (2019)
Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
Discretely-constrained deep network for weakly supervised segmentation. CoRR (2019)
Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. ICIAR (1) (2019)
Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger
Convolutional STN for Weakly Supervised Object Localization and Beyond. CoRR (2019)
Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers
Deep Co-Training for Semi-Supervised Image Segmentation. CoRR (2019)
Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco Pedersoli