Marco Pedersoli

• Co-directed by: Toews, Matthew
  Finding The Optimal Convolutional Neural Network Architecture for Satellite Images, by Javan Roshtkhari,Mehraveh.
  Fall 2023
  
• Co-directed by: Granger, Éric
  Learning to Localize Objects with Limited Supervision, by Pilakkatt Meethal,Akhil.
  Fall 2023
  
• Co-directed by: Pedersoli, Marco
  Personalized Automated Expression Recognition and Ambivalence Using Domain Adaptation, by Zeeshan,Muhammad Osama.
  Winter 2024
  
• Co-directed by: Pedersoli, Marco
  Reduced Supervision Methods for Medical Image Segmentation, by Peng,Jizong.
  Summer 2022
  
• Co-directed by: Granger, Éric
  Using Privileged Information for Low-Resolution Object Detection on the Edge, by Rapela Medeiros,Heitor.
  Winter 2024
  
• Co-directed by: Pedersoli, Marco
  Deep Weakly-Supervised Leaning Networks for Object Localization and Interpretation, by Murtaza,Shakeeb.
  Winter 2024
  
• Co-directed by: Pedersoli, Marco
  Novel Continual Test-Time Adaptation Methods for Deep Models, by Mishra,Shambhavi.
  Winter 2024
  
• Co-directed by: Ben Ayed, Ismail
  Learning Visual Recognition Models with Limited Data, by Mounsaveng,Saypraseuth.
  Fall 2023
  
• Co-directed by: Zhang, Caiming
  Medical Image Segmentation Under Challenging Scenarios, by Wang,Ping.
  Fall 2023
  
• Design and Development of Unsupervised Deep Learning Architectures for Visual Recognition on Images and Video, by Villa-Vasquez,Jose.
  Winter 2024
  
• Co-directed by: Granger, Éric
  Multi-source Domain Generalization, by Aminbeidokhti,Masih.
  Winter 2024
  

• Estimation des disparités par adaptation de domaine pour la détection d'objets 3D à partir d'images stéréoscopiques, by Huyghues Beaufond,Lucas.
  Winter 2023
  
• Co-directed by: Pedersoli, Marco
  Exploration du niveau de supervision et du contexte temporel pour la détection des personnes en infrarouge, by Dubail,Thomas.
  Fall 2023
  
• Co-directed by: Vasseur, Elsa
  Applications of Deep Learning in Visual Recognition, by Saadati,Mirmohammad.
  Winter 2023
  
• Co-directed by: Pedersoli, Marco
  Deep Domain Generalization for Person Recognition in the Wild, by Belal,Atif.
  Winter 2024
  
• Co-directed by: Granger, Éric
  Crowd Counting with Different Levels of Supervision in Infrared Images, by Kdayem,Moetez.
  Winter 2024
  
• Co-directed by: Pedersoli, Marco
  Deep audio and video emotion detection, by Aminbeidokhti,Masih.
  Winter 2020
  
• Co-directed by: Bacon, Simon
  Spatio-Temporal Facial Expression Recognition with 3D Convolutional Neural Networks, by Ayral,Théo.
  Summer 2021
  
• Co-directed by: Pedersoli, Marco
  Variational Autoencoders with Gaussian Mixture Prior for Recommender Systems, by Boucher Charbonneau,Kristof.
  Winter 2020
  
• Co-directed by: Pedersoli, Marco
  Deep domain adaptation models for object detection in low-resolution RGB and IR images, by Varailhon,Simon.
  Fall 2023
  
• Reduced computation transformers for image recognition, by Latortue,David.
  Fall 2023
  

• Co-directed by: Granger, Éric
  Sélection optimale de transformations pour l'augmentation de données, by Harlé,Antoine.
  Summer 2020
  
• Co-directed by: Roberge, Jean-Philippe
  "Few-Shot Object Detection" et application "Pick and Place" dans le cadre d'un projet avec l'entreprise Teledyne Dalsa, by Bailly,Antoine.
  Summer 2023
  
• Co-directed by: Pedersoli, Marco
  Réduction du crénelage d'images générées en temps réel par apprentissage profond pour les simulateurs de vol à CAE Montréal, by Haraoui,Marc.
  Summer 2023
  
• Co-directed by: Ménard, Bruno
  Apprentissage continu supervisé et semi-supervisé pour réseaux neuronaux, by Menetrier,Rhys-Sylvain.
  Summer 2021
  
• Co-directed by: Pedersoli, Marco
  Agent conversationnel pour la plateforme « Données Québec », by Rios,Victor.
  Fall 2023
  
• Etude d'indicateurs statistiques sur un drone maritime autonome de série, by Suel,Corentin.
  Fall 2023
  

• Co-directed by: Granger, Éric
  Optimisation d'une solution de détection d'humains en temps réel s'exécutant sur un système embarqué, by Floer,Clément.
  Winter 2024
  

• Conception des tableaux de bord interactifs pour piloter les indicateurs de performance du département supply chain, by Belhamra,Nazih.
  Summer 2023
  

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) p. 3338-3347. 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) p. 689-702. 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) p. 20237-20246. 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) p. 2046-2055. 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) p. 1624-1633. 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) p. 155-165. 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) p. 3678-3687. Institute of Electrical and Electronics Engineers Inc..

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) p. 103-129. 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) p. 3727-3736. 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) p. 2485-2494. Piscataway, NJ, USA : 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) p. 3028-3037. 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) p. 2673-2682. 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) p. 1690-1699. 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) p. 16686-16699. 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) p. 7718-7727. 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) p. 106-117. 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) p. 304-314. 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) p. 548-564. 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) p. 10157-10164. 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) p. 2795-2802. 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) p. 601-613. 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) p. 323-331. Cham, Switzerland : 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) p. 611-615. 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) p. 1251-1259. 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) p. 1081-1089. 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) p. 2578-2586. 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) p. 395-402. 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) p. 136-144. 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) p. 3662-3669. 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) p. 618-625. 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) p. 720-735. 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) p. 163-170. 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) p. 3694-3701. 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) p. 1353-1360. 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) p. 58-66. 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) p. 280-293. 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) p. 48-55. 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) p. 208-217. Springer Verlag.

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 13 p.

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 13 p.

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. 17 p. 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.

Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars. 2014. « Is 2D information enough for viewpoint estimation? ». Communication during a conference : 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 during a conference : 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 during a conference : 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 during a conference : 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 during a conference : 4th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) ( Povoa de Varzim, Portugal, June 10-12, 2009 )

Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool. 2014. « An Elastic Deformation Field Model for Object Detection and Tracking ». «KU Leuven technical report» KU leuven. 19 p.

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 Coll. «Intelligent systems reference library», . 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 Coll. «Advances in Soft Computing», . p. 739-746. Springer.

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