Marco Pedersoli

Professeur

Département

Département de génie des systèmes

Formation

B. Eng. (Universita degli studi di Brescia, Italie), M.Sc., Ph.D. (Universitat Autonoma de Barcelona & Computer Vision Center, Espagne)

Bureau

A-3480

Courriel

Marco.Pedersoli@etsmtl.ca

Unités de recherche

Visiter le site web de : Chaire de recherche Distech Controls sur les réseaux de neurones embarqués dans un contrôleur pour bâtiments connectés
Visiter le site web de : LIVIA – Laboratoire d'imagerie, de vision et d'intelligence artificielle

Axes de recherche

Capteurs, réseaux et connectivité
Développement durable, économie circulaire et enjeux environnementaux
Infrastructures et milieux bâtis
Systèmes intelligents et autonomes
Systèmes logiciels, multimédia et cybersécurité
Technologies de la santé

Expertises

Apprentissage profond
Vision artificielle
Apprentissage efficace
Réduction de coût de calcul dans l'apprentissage
Apprentissage sur des systèmes embarqués
Apprentissage avec supervision réduite
Apprentissage faiblement supervisé
Apprentissage non supervisé
Bâtiments connectés
Reconnaissance d'émotions
Vision et langage

Encadrements

En codirection avec : Matthew Toews
Finding The Optimal Convolutional Neural Network Architecture for Satellite Images, par Mehraveh Javan Roshtkhari
Hiver 2025
En codirection avec : Éric Granger
Learning to Localize Objects with Limited Supervision, par Akhil Pilakkatt Meethal
Automne 2023
En codirection avec : Éric Granger
Personalized Automated Expression Recognition and Ambivalence Using Domain Adaptation, par Muhammad Osama Zeeshan
Été 2025
En codirection avec : Christian Desrosiers
Reduced Supervision Methods for Medical Image Segmentation, par Jizong Peng
Été 2022
En codirection avec : Éric Granger
Using Privileged Information for Low-Resolution Object Detection on the Edge, par Heitor Rapela Medeiros
Été 2025
En codirection avec : Christopher PAL
Generative Models for Vision, Language and Multi-Modal Learning, par Juan Antonio Rodríguez García
Été 2025
En codirection avec : Éric Granger
Reconnaissance d'actions à partir de vidéos infrarouges, par Kevin Nguetche
Été 2025
En codirection avec : Éric Granger
Deep Weakly-Supervised Leaning Networks for Object Localization and Interpretation, par Shakeeb Murtaza
Été 2025
En codirection avec : Jose Dolz
Novel Continual Test-Time Adaptation Methods for Deep Models, par Shambhavi Mishra
Été 2025
En codirection avec : Ismail Ben Ayed
Learning Visual Recognition Models with Limited Data, par Saypraseuth Mounsaveng
Automne 2023
En codirection avec : Christian Desrosiers
Medical Image Segmentation Under Challenging Scenarios, par Ping Wang
Automne 2023
En codirection avec : Éric Granger
Source-Free Adaptation of Deep Learning Models for Expression Recognition in eHealth Applications, par Masoumeh Sharafi
Hiver 2025
Design and Development of Unsupervised Deep Learning Architectures for Visual Recognition on Images and Video, par Jose Villa-Vasquez
Été 2025
En codirection avec : Éric Granger
Multi-source Domain Generalization, par Masih Aminbeidokhti
Hiver 2025

Estimation des disparités par adaptation de domaine pour la détection d'objets 3D à partir d'images stéréoscopiques, par Lucas Huyghues Beaufond
Hiver 2023
En codirection avec : Éric Granger
Exploration du niveau de supervision et du contexte temporel pour la détection des personnes en infrarouge, par Thomas Dubail
Automne 2023
En codirection avec : Patrick Cardinal
Applications of Deep Learning in Visual Recognition, par Mirmohammad Saadati
Hiver 2023
En codirection avec : Éric Granger
Crowd Counting with Different Levels of Supervision in Infrared Images, par Moetez Kdayem
Hiver 2025
En codirection avec : Patrick Cardinal
Deep audio and video emotion detection, par Masih Aminbeidokhti
Hiver 2020
En codirection avec : Éric Granger
Spatio-Temporal Facial Expression Recognition with 3D Convolutional Neural Networks, par Théo Ayral
Été 2021
En codirection avec : Patrick Cardinal
Variational Autoencoders with Gaussian Mixture Prior for Recommender Systems, par Kristof Boucher Charbonneau
Hiver 2020
En codirection avec : Éric Granger
Source-Free Domain Adaptation for YOLO Object Detection, par Simon Varailhon
Été 2024
Reduced computation transformers for image recognition, par David Latortue
Automne 2024

En codirection avec : Éric Granger
Optimisation d’un modèle de détection déployé sur un système embarqué, par Clément Floer
Été 2024
En codirection avec : Éric Granger
Réseaux profonds pour le démêlement des caractéristiques faciales en estimation de la douleur, par Emma Ollivier
Été 2024

En codirection avec : Éric Granger
Sélection optimale de transformations pour l'augmentation de données, par Antoine Harlé
Été 2020
En codirection avec : Jean-Philippe Roberge
"Few-Shot Object Detection" et application "Pick and Place" dans le cadre d'un projet avec l'entreprise Teledyne Dalsa, par Antoine Bailly
Été 2023
En codirection avec : Adrien François Gruson
Réduction du crénelage d'images générées en temps réel par apprentissage profond pour les simulateurs de vol à CAE Montréal, par Marc Haraoui
Été 2023
En codirection avec : Bruno Ménard
Apprentissage continu supervisé et semi-supervisé pour réseaux neuronaux, par Rhys-Sylvain Menetrier
Été 2021
En codirection avec : Tony Wong
Agent conversationnel pour « Données Québec », par Victor Rios
Été 2024
Outil de visualisation pour l'analyse des données d'un drone maritime de surface, par Corentin Suel
Hiver 2024

Optimisation d’un modèle de détection de personnes via la quantification des paramètres du modèle, par Clément Floer
Été 2024
Conception des tableaux de bord interactifs pour piloter les indicateurs de performance du département supply chain, par Nazih Belhamra
Été 2023

Publications

Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2025 « CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos ». Pattern Recognition vol. 162
Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers. 2024 « Boundary-aware information maximization for self-supervised medical image segmentation ». Medical Image Analysis vol. 94
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger. 2023 « DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization ». Image and Vision Computing vol. 140
Ping Wang, Jizong Peng, Marco Pedersoli, Yuan-Feng Zhou, Cai-Ming Zhang, Christian Desrosiers. 2023 « CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation ». IEEE Transactions on Medical Imaging vol. 42 , nº 8. p. 2146-2161
Ping Wang, Jizong Peng, Marco Pedersoli, Yuan-Feng Zhou, Cai-Ming Zhang, Christian Desrosiers. 2023 « Shape-aware joint distribution alignment for cross-domain image segmentation ». IEEE Transactions on Medical Imaging vol. 42 , nº 8. p. 2338-2347
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2022 « Incremental multi-target domain adaptation for object detection with efficient domain transfer ». Pattern Recognition vol. 129
Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed. 2021 « Deep clustering: On the link between discriminative models and K-means ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 43 , nº 6. p. 1887-1896
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers. 2021 « Self-paced and self-consistent co-training for semi-supervised image segmentation ». Medical Image Analysis vol. 73
A. Zambelis, M. Saadati, G. M. Dallago, P. Stecko, V. Boyer, J. P. Parent, M. Pedersoli, E. Vasseur. 2021 « Automation of video-based location tracking tool for dairy cows in their housing stalls using deep learning ». Smart Agricultural Technology vol. 1
Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers. 2020 « Deep co-training for semi-supervised image segmentation ». Pattern Recognition vol. 107
Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers. 2020 « Discretely-constrained deep network for weakly supervised segmentation ». Neural Networks vol. 130. p. 297-308
Sherif Abuelwafa, Marco Pedersoli, Mohamed Cheriet. 2019 « Unsupervised exemplar-based learning for improved document image classification ». IEEE Access vol. 7. p. 133738-133748
Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool. 2017 « DeepProposals: Hunting objects and actions by cascading deep convolutional layers ». International Journal of Computer Vision vol. 124 , nº 2. p. 115-131
Josep M. Gonfaus, Marco Pedersoli, Jordi Gonzàlez, Andrea Vedaldi, F. Xavier Roca. 2015 « Factorized appearances for object detection ». Computer Vision and Image Understanding vol. 138. p. 92-101
Ivan Huerta, Marco Pedersoli, Jordi Gonzàlez, Albert Sanfeliu. 2015 « Combining where and what in change detection for unsupervised foreground learning in surveillance ». Pattern Recognition vol. 48 , nº 3. p. 709-719
Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool. 2015 « An elastic deformation field model for object detection and tracking ». International Journal of Computer Vision vol. 111 , nº 2. p. 137-152
Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez, Xavier Roca. 2015 « A coarse-to-fine approach for fast deformable object detection ». Pattern Recognition vol. 48 , nº 5. p. 1844-1853
Marco Pedersoli, Jordi Gonzalez, Xu Hu, Xavier Roca. 2014 « Toward real-time pedestrian detection based on a deformable template model ». IEEE Transactions on Intelligent Transportation Systems vol. 15 , nº 1. p. 355-364
Marco Pedersoli, Jordi Gonzlez, Andrew D. Bagdanov, Xavier Roca. 2011 « Efficient discriminative multiresolution cascade for real-time human detection applications ». Pattern Recognition Letters vol. 32 , nº 13. p. 1581-1587
D. Rowe, J. Gonzalez, M. Pedersoli, J. J. Villanueva. 2010 « On tracking inside groups ». Machine Vision and Applications vol. 21 , nº 2. p. 113-127

Marc Castelló, Jordi Gonzàlez, Ariel Amato, Pau Baiget, Carles Fernández, Josep M. Gonfaus, Ramón A. Mollineda, Marco Pedersoli, Nicolás Pérez de la Blanca, F. Xavier Roca. 2013 « Exploiting multimodal interaction techniques for video-surveillance ». In Multimodal interaction in image and video applications. p. 135-151. Springer Berlin Heidelberg
Marco Pedersoli, Jordi Gonzàlez, Bhaskar Chakraborty, Juan J. Villanueva. 2007 « Enhancing real-time human detection based on histograms of oriented gradients ». In Computer Recognition Systems 2. p. 739-746. Springer

Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars. 2014 « Is 2D information enough for viewpoint estimation? ». Communication lors de la conférence : 25th British Machine Vision Conference (BMVC) (Nottingham, United kingdom, Sept. 01-05, 2014)
Markus Mathias, Marco Pedersoli, Luc Van Gool, Rodrigo Benenson, Luc Van Gool. 2014 « Face detection without bells and whistles ». Communication lors de la conférence : 13th European Conference on Cuomputer Vision (ECCV) (Zurich, Switzerland, Sept. 6-12, 2014)
Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez. 2011 « A coarse-to-fine approach for fast deformable object detection ». Communication lors de la conférence : 2011 IEEE Conference on Computer Vision and Pattern Recognition (Colorado Springs, CO, USA, June 20-25, 2011)
Josep M. Gonfaus, Xavier Boix, Fahad S. Khan, Joost van de Weijer, Andrew D. Bagdanov, Marco Pedersoli, Joan Serrat, Xavier Roca, Jordi Gonzàlez. 2010 « Harmony potentials : Fusing global and local scale for semantic image segmentation ». Communication lors de la conférence : The PASCAL Visual Object Classes Challenge Workshop 2010 (Crete, Greece, Sept. 11, 2010)
Marco Pedersoli, Jordi Gonzalez, Juan Jose Villanueva. 2009 « High-speed human detection using a multiresolution cascade of histograms of oriented gradients ». Communication lors de la conférence : 4th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) (Povoa de Varzim, Portugal, June 10-12, 2009)

Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel Alejandro Guerrero Peña, David Latortue, Eric Granger, Marco Pedersoli. 2025 « Modality translation for object detection adaptation without forgetting prior knowledge ». Computer Vision – ECCV 2024 : 18th European Conference 2024, Proceedings, Part LXXXIX (Milan, Italy, Sept. 29-Oct. 04, 2024) Springer
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger. 2024 « Distilling privileged multimodal information for expression recognition using optimal transport ». IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024) Institute of Electrical and Electronics Engineers
Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger. 2024 « Guided interpretable facial expression recognition via spatial action unit cues ». IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024)
David Latortue, Moetez Kdayem, Fidel A. Guerrero Pena, Eric Granger, Marco Pedersoli. 2024 « Evaluating supervision levels trade-offs for infrared-based people counting ». IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) (Waikoloa, HI, USA, Jan. 01-06, 2024) Institute of Electrical and Electronics Engineers Inc.
Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed. 2024 « Bag of tricks for fully test-time adaptation ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024) Institute of Electrical and Electronics Engineers Inc.
Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger. 2024 « Leveraging transformers for weakly supervised object localization in unconstrained videos ». Artificial Neural Networks in Pattern Recognition : 11th IAPR TC3 Workshop, ANNPR 2024, Proceedings (Montreal, QC, Canada, Oct. 10-12, 2024) Springer
Rishav Pramanik, José-Fabian Villa-Vásquez, Marco Pedersoli. 2024 « Masked multi-query slot attention for unsupervised object discovery ». International Joint Conference on Neural Networks (IJCNN) (Yokohama, Japan, June 30-July 05, 2024) Institute of Electrical and Electronics Engineers Inc.
Paul Waligora, Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger. 2024 « Joint multimodal transformer for emotion recognition in the wild ». IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Seattle, WA, USA, June 17-18, 2024) IEEE Computer Society
Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric G. Granger. 2024 « Subject-based domain adaptation for facial expression recognition ». IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024) Institute of Electrical and Electronics Engineers Inc.
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger. 2023 « Privileged knowledge distillation for dimensional emotion recognition in the wild ». IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023) IEEE Computer Society
Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli. 2023 « Privacy-preserving person detection using low-resolution infrared cameras ». Computer Vision – ECCV 2022 Workshops (Tel Aviv, Israel, Oct. 23-27, 2022) Springer Science and Business Media
Fidel A. Guerrero Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric G. Granger, Marco Pedersoli. 2023 « Re-basin via implicit Sinkhorn differentiation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) IEEE Computer Society
Akhil Meethal, Eric Granger, Marco Pedersoli. 2023 « Cascaded zoom-in detector for high resolution aerial images ». IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023) IEEE Computer Society
Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger. 2023 « Camera alignment and weighted contrastive learning for domain adaptation in video person ReID ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) Institute of Electrical and Electronics Engineers Inc.
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger. 2023 « Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization ». IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023) Institute of Electrical and Electronics Engineers Inc.
Juan A. Rodriguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez. 2023 « OCR-VQGAN: Taming text-within-image generation ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) Institute of Electrical and Electronics Engineers Inc.
Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli. 2023 « Balanced mixture of supernets for learning the CNN pooling architecture ». 2nd International Conferenceon Automated Machine Learning, AutoML (Berlin, Germany, Sept. 12-15, 2023) ML Research Press
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Éric Granger. 2022 « Negative evidence matters in interpretable histology image classification ». Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022) ML Research Press
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022 « F-CAM: Full resolution class activation maps via guided parametric upscaling ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2022) Institute of Electrical and Electronics Engineers Inc.
Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger. 2022 « Semi-weakly supervised object detection by sampling pseudo ground-truth boxes ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) Institute of Electrical and Electronics Engineers Inc.
R. G. Praveen, W. C. de Melo, N. Ullah, H. Aslam, O. Zeeshan, T. Denorme, M. Pedersoli, A. L. Koerich, S. Bacon, P. Cardinal, E. Granger. 2022 « A joint cross-attention model for audio-visual fusion in dimensional emotion recognition ». IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (New Orleans, LA, USA, June 19-20, 2022) IEEE
Theo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger. 2021 « Temporal stochastic softmax for 3D CNNs : An application in facial expression recognition ». IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021) Institute of Electrical and Electronics Engineers
Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz. 2021 « On the texture bias for few-shot CNN segmentation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021) Institute of Electrical and Electronics Engineers
Saypraseuth Mounsaveng, Issam Laradji, Ismail Ben Ayed, David Vazquez, Marco Pedersoli. 2021 « Learning data augmentation with online bilevel optimization for image classification ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) Institute of Electrical and Electronics Engineers Inc.
Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli. 2021 « Self-paced contrastive learning for semi-supervised medical image segmentation with meta-labels ». Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (En ligne, Dec. 06-14, 2021) Neural information processing systems foundation
Jerome Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed. 2021 « Augmented Lagrangian Adversarial Attacks ». 18th IEEE/CVF International Conference on Computer Vision (ICCV) (Montreal, QC, Canada - en ligne, Oct. 10-17, 2021) Institute of Electrical and Electronics Engineers Inc.
Mirmohammad Saadati, Marco Pedersoli, Patrick Cardinal, Peter Oliver. 2021 « RADARSAT-2 Synthetic-Aperture radar land cover segmentation using deep convolutional neural networks ». Pattern Recognition. ICPR International Workshops and Challenges, Virtual Event, January 10-15, 2021, Proceedings Part VIII (Milan, Italy, Jan. 10-15, 2021) Springer
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers. 2021 « Context-aware virtual adversarial training for anatomically-plausible segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I (Strasbourg, France, Sept. 27-Oct. 01, 2021) Springer Science and Business Media Deutschland GmbH
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed. 2020 « A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses ». Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020) Springer
Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger. 2020 « Convolutional STN for weakly supervised object localization ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021) IEEE
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin. 2020 « Progressive gradient pruning for classification, detection and domain adaptation ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - en ligne, Jan. 10-15, 2021) Institute of Electrical and Electronics Engineers Inc.
Jizong Peng, Marco Pedersoli, Christian Desrosiers. 2020 « Mutual information deep regularization for semi-supervised segmentation ». Proceedings of the Third Conference on Medical Imaging with Deep Learning (Montreal, QC, Canada, July 06-08, 2020) PMLR
Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger. 2019 « Emotion recognition with spatial attention and temporal softmax pooling ». Image Analysis and Recognition : 16th International Conference, ICIAR : Proceedings (Waterloo, ON, Canada, Aug. 27-29, 2019) Springer International Publishing
Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli. 2018 « An attention model for group-level emotion recognition ». 20th ACM International Conference on Multimodal Interaction (ICIM '18) (Boulder, CO, USA, Oct. 16-20, 2018) ACM
Jizong Peng, Christian Desrosiers, Marco Pedersoli. 2018 « DC-SegNet: a discretely constrained deep network for weakly supervised segmentation ». 32nd Conference on Neural Information Processing Systems (NIPS 2018) - Medical Imaging Meets NIPS Workshop (MED-NEURIPS 2018) (Montreal, QC, Canada, Dec. 08, 2018)
Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek. 2017 « Areas of attention for image captioning ». 2017 IEEE International Conference on Computer Vision (ICCV) (Venice, Italy, Oct. 22-29, 2017) IEEE
Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars. 2016 « Towards automatic image editing: learning to see another you ». Proceedings of the British Machine Vision Conference (York County, United kingdom, Sept. 19-22, 2016) BMVA Press
Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars. 2015 « Weakly supervised object detection with convex clustering ». IEEE Conference on Computer Vision and Pattern Recognition, (CVPR) (Boston, MA, USA, June 07-12, 2015) IEEE Computer Society
Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool. 2015 « Deepproposal: Hunting objects by cascading deep convolutional layers ». 15th IEEE International Conference on Computer Vision ( ICCV) (Santiago, Chile, Dec. 11-18, 2015) IEEE
Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars. 2015 « Swap retrieval: Retrieving images of cats when the query shows a dog ». 5th ACM International Conference on Multimedia Retrieval (ICMR) (Shanghai, China, June 23-26, 2015) Association for Computing Machinery
Marco Pedersoli, Tinne Tuytelaars. 2015 « Learning where to position parts in 3D ». 15th IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 11-15, 2015) IEEE
Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool. 2014 « Object classification with adaptable regions ». 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, USA, June 23-28, 2014) IEEE Computer Society
Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars. 2014 « Weakly supervised object detection with posterior regularization ». Proceedings British Machine Vision Conference (Nottingham, United Kingdom, Sept. 01-05, 2014) BMVA Press
Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars. 2014 « Coupling video segmentation and action recognition ». 2014 IEEE Winter Conference on Applications of Computer Vision (WACV) (Steamboat Springs, CO, USA, Mar. 24-26, 2014) IEEE Computer Society
Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars. 2014 « Is 2D information enough for viewpoint estimation? ». Proceedings British Machine Vision Conference (Nottingham, United kingdom, Sept. 01-05, 2014) BMVA Press
Markus Mathias, Marco Pedersoli, Luc Van Gool, Rodrigo Benenson, Luc Van Gool. 2014 « Face detection without bells and whistles ». Computer Vision - ECCV 2014 : 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV (Zurich, Switzerland, Sept. 6-12, 2014) Springer International Publishing
Marco Pedersoli, Tinne Tuytelaars. 2014 « A scalable 3D HOG model for fast object detection and viewpoint estimation ». 2nd International Conference on 3D Vision (3DV) (Tokyo, Japan, Dec. 08-11, 2014) IEEE
Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool. 2014 « Using a deformation field model for localizing faces and facial points under weak supervision ». IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, United states, June 23-28, 2014) IEEE Computer Society
Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez. 2011 « A coarse-to-fine approach for fast deformable object detection ». 2011 IEEE Conference on Computer Vision and Pattern Recognition (Colorado Springs, CO, USA, June 20-25, 2011) IEEE Computer Society
Nataliya Shapovalova, Wenjuan Gong, Marco Pedersoli, Francesc Xavier Roca, Jordi Gonzàlez. 2011 « On importance of interactions and context in human action recognition ». Pattern Recognition and Image Analysis : 5th Iberian Conference, IbPRIA 2011, Las Palmas de Gran Canaria, Spain, June 8-10, 2011 : Proceedings (Las Palmas de Gran Canaria, Spain, June 08-10, 2011) Springer Verlag
Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, Juan J. Villanueva. 2010 « Recursive coarse-to-fine localization for fast object detection ». Computer Vision - ECCV 2010 : 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI (Heraklion, Crete, Greece, Sept. 05-11, 2010) Springer Verlag
Marco Pedersoli, Jordi Gonzalez, Juan Jose Villanueva. 2009 « High-speed human detection using a multiresolution cascade of histograms of oriented gradients ». Pattern Recognition and Image Analysis : 4th Iberian Conference, IbPRIA 2009 Póvoa de Varzim, Portugal, June 10-12, 2009 Proceedings (Povoa de Varzim, Portugal, June 10-12, 2009) Springer Verlag
Bhaskar Chakraborty, Marco Pedersoli, Jordi Gonzalez. 2008 « View-invariant human action detection using component-wise HMM of body parts ». 5th International Conference on Articulated Motion and Deformable Objects (AMDO) 2008, July 9, 2008 - July 11, 2008 (Port d'Andratx, Mallorca, Spain, July 09-11, 2008) Springer Verlag

Marco Pedersoli. 2012 « Hierarchical multiresolution models for fast object detection ». Thèse de doctorat. Barcelona, Spain, Universitat Autònoma de Barcelona.