Marco Pedersoli

Co-directed by: Toews, Matthew
Finding The Optimal Convolutional Neural Network Architecture for Satellite Images, by Javan Roshtkhari,Mehraveh.
Summer 2022


Co-directed by: Granger, Éric
Object Detection with Weakly-supervised Deep Architectures, by Pilakkatt Meethal,Akhil.
Fall 2022


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.
Fall 2022


Co-directed by: Pedersoli, Marco
Deep Weakly-Supervised Leaning Networks for Object Localization and Interpretation, by Murtaza,Shakeeb.
Fall 2022


Co-directed by: Pedersoli, Marco
Deep Leaning Models for Weakly Supervised Object Detection in Video-based Aerial Inspection, by Niaz,Asim.
Summer 2022


Co-directed by: Ben Ayed, Ismail
Training visual recognition models in a low data regime, by Mounsaveng,Saypraseuth.
Fall 2022


Co-directed by: Granger, Éric
Multi-source Domain Generalization, by Aminbeidokhti,Masih.
Fall 2022

Système de vision intelligente pour la détection automatique de la distance de sécurité entre véhicules sur la route, by Huyghues Beaufond,Lucas.
Summer 2022


Co-directed by: Pedersoli, Marco
Modèles profonds pour la détection et localisation d'anomalies dans des images IR, by Dubail,Thomas.
Fall 2022


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: Vasseur, Elsa
Weakly Supervised Approaches in Audio/Visual Applications, by Saadati,Mirmohammad.
Summer 2022


Reduced computation transformers for image recognition, by Latortue,David.
Summer 2022

Co-directed by: Granger, Éric
Sélection optimale de transformations pour l'augmentation de données, by Harlé,Antoine.
Summer 2020


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
Évaluation de réseaux profonds pour la détection d'anomalies, by Djerourou,Abderrahmane.
Winter 2022

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..

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..

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.

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.

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

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.

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