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Liste des publications de "Pedersoli, Marco"Nombre de documents archivés : 72. Article publié dans une revue, révisé par les pairs
Abuelwafa, Sherif, Pedersoli, Marco et Cheriet, Mohamed.
2019.
« Unsupervised exemplar-based learning for improved document image classification ».
IEEE Access, vol. 7.
pp. 133738-133748.
Ghodrati, Amir, Diba, Ali, Pedersoli, Marco, Tuytelaars, Tinne et Van Gool, Luc.
2017.
« DeepProposals: Hunting objects and actions by cascading deep convolutional layers ».
International Journal of Computer Vision, vol. 124, nº 2.
pp. 115-131.
Gonfaus, Josep M., Pedersoli, Marco, Gonzàlez, Jordi, Vedaldi, Andrea et Roca, F. Xavier.
2015.
« Factorized appearances for object detection ».
Computer Vision and Image Understanding, vol. 138.
pp. 92-101.
Huerta, Ivan, Pedersoli, Marco, Gonzàlez, Jordi et Sanfeliu, Albert.
2015.
« Combining where and what in change detection for unsupervised foreground learning in surveillance ».
Pattern Recognition, vol. 48, nº 3.
pp. 709-719.
Jabi, Mohammed, Pedersoli, Marco, Mitiche, Amar et Ben Ayed, Ismail.
2021.
« Deep clustering: On the link between discriminative models and K-means ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, nº 6.
pp. 1887-1896.
Murtaza, Shakeeb, Belharbi, Soufiane, Pedersoli, Marco, Sarraf, Aydin et Granger, Eric.
2023.
« DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization ».
Image and Vision Computing, vol. 140.
Nguyen-Meidine, Le Thanh, Kiran, Madhu, Pedersoli, Marco, Dolz, Jose, Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Incremental multi-target domain adaptation for object detection with efficient domain transfer ».
Pattern Recognition, vol. 129.
Pedersoli, Marco, Gonzalez, Jordi, Hu, Xu et Roca, Xavier.
2014.
« Toward real-time pedestrian detection based on a deformable template model ».
IEEE Transactions on Intelligent Transportation Systems, vol. 15, nº 1.
pp. 355-364.
Pedersoli, Marco, Gonzlez, Jordi, Bagdanov, Andrew D. et Roca, Xavier.
2011.
« Efficient discriminative multiresolution cascade for real-time human detection applications ».
Pattern Recognition Letters, vol. 32, nº 13.
pp. 1581-1587.
Pedersoli, Marco, Timofte, Radu, Tuytelaars, Tinne et Van Gool, Luc.
2015.
« An elastic deformation field model for object detection and tracking ».
International Journal of Computer Vision, vol. 111, nº 2.
pp. 137-152.
Pedersoli, Marco, Vedaldi, Andrea, Gonzàlez, Jordi et Roca, Xavier.
2015.
« A coarse-to-fine approach for fast deformable object detection ».
Pattern Recognition, vol. 48, nº 5.
pp. 1844-1853.
Peng, Jizong, Estrada, Guillermo, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Deep co-training for semi-supervised image segmentation ».
Pattern Recognition, vol. 107.
Peng, Jizong, Kervadec, Hoel, Dolz, Jose, Ben Ayed, Ismail, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Discretely-constrained deep network for weakly supervised segmentation ».
Neural Networks, vol. 130.
pp. 297-308.
Peng, Jizong, Wang, Ping, Pedersoli, Marco et Desrosiers, Christian.
2024.
« Boundary-aware information maximization for self-supervised medical image segmentation ».
Medical Image Analysis, vol. 94.
Rowe, D., Gonzalez, J., Pedersoli, M. et Villanueva, J. J..
2010.
« On tracking inside groups ».
Machine Vision and Applications, vol. 21, nº 2.
pp. 113-127.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuan-Feng, Zhang, Cai-Ming et Desrosiers, Christian.
2023.
« CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation ».
IEEE Transactions on Medical Imaging, vol. 42, nº 8.
pp. 2146-2161.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuanfeng, Zhang, Caiming et Desrosiers, Christian.
2021.
« Self-paced and self-consistent co-training for semi-supervised image segmentation ».
Medical Image Analysis, vol. 73.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuan-Feng, Zhang, Cai-Ming et Desrosiers, Christian.
2023.
« Shape-aware joint distribution alignment for cross-domain image segmentation ».
IEEE Transactions on Medical Imaging, vol. 42, nº 8.
pp. 2338-2347.
Zambelis, A., Saadati, M., Dallago, G. M., Stecko, P., Boyer, V., Parent, J. P., Pedersoli, M. et Vasseur, E..
2021.
« Automation of video-based location tracking tool for dairy cows in their housing stalls using deep learning ».
Smart Agricultural Technology, vol. 1.
Compte rendu de conférence
Aminbeidokhti, Masih, Pedersoli, Marco, Cardinal, Patrick et Granger, Eric.
2019.
« Emotion recognition with spatial attention and temporal softmax pooling ».
In Image Analysis and Recognition : 16th International Conference, ICIAR : Proceedings (Waterloo, ON, Canada, Aug. 27-29, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11662.
pp. 323-331.
Cham, Switzerland : Springer International Publishing.
Aslam, Muhammad Haseeb, Osama Zeeshan, Muhammad, Pedersoli, Marco, Koerich, Alessandro L., Bacon, Simon et Granger, Eric.
2023.
« Privileged knowledge distillation for dimensional emotion recognition in the wild ».
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)
pp. 3338-3347.
IEEE Computer Society.
Ayral, Theo, Pedersoli, Marco, Bacon, Simon et Granger, Eric.
2021.
« Temporal stochastic softmax for 3D CNNs : An application in facial expression recognition ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021)
pp. 3028-3037.
Institute of Electrical and Electronics Engineers.
Azad, Reza, Fayjie, Abdur R., Kauffmann, Claude, Ben Ayed, Ismail, Pedersoli, Marco et Dolz, Jose.
2021.
« On the texture bias for few-shot CNN segmentation ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021)
pp. 2673-2682.
Institute of Electrical and Electronics Engineers.
Belharbi, Soufiane, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Éric.
2022.
« Negative evidence matters in interpretable histology image classification ».
In Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022)
Coll. « Proceedings of Machine Learning Research », vol. 172.
pp. 103-129.
ML Research Press.
Belharbi, Soufiane, Sarraf, Aydin, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2022.
« F-CAM: Full resolution class activation maps via guided parametric upscaling ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2022)
pp. 3727-3736.
Institute of Electrical and Electronics Engineers Inc..
Bilen, Hakan, Pedersoli, Marco, Namboodiri, Vinay P., Tuytelaars, Tinne et Van Gool, Luc.
2014.
« Object classification with adaptable regions ».
In 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, USA, June 23-28, 2014)
pp. 3662-3669.
IEEE Computer Society.
Bilen, Hakan, Pedersoli, Marco et Tuytelaars, Tinne.
2015.
« Weakly supervised object detection with convex clustering ».
In IEEE Conference on Computer Vision and Pattern Recognition, (CVPR) (Boston, MA, USA, June 07-12, 2015)
pp. 1081-1089.
IEEE Computer Society.
Bilen, Hakan, Pedersoli, Marco et Tuytelaars, Tinne.
2014.
« Weakly supervised object detection with posterior regularization ».
In Proceedings British Machine Vision Conference (Nottingham, United Kingdom, Sept. 01-05, 2014)
BMVA Press.
Boudiaf, Malik, Rony, Jérôme, Ziko, Imtiaz Masud, Granger, Eric, Pedersoli, Marco, Piantanida, Pablo et Ben Ayed, Ismail.
2020.
« A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses ».
In Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12351.
pp. 548-564.
Springer.
Chakraborty, Bhaskar, Pedersoli, Marco et Gonzalez, Jordi.
2008.
« View-invariant human action detection using component-wise HMM of body parts ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5098.
pp. 208-217.
Springer Verlag.
Dubail, Thomas, Guerrero Peña, Fidel Alejandro, Medeiros, Heitor Rapela, Aminbeidokhti, Masih, Granger, Eric et Pedersoli, Marco.
2023.
« Privacy-preserving person detection using low-resolution infrared cameras ».
In Computer Vision – ECCV 2022 Workshops (Tel Aviv, Israel, Oct. 23-27, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13805.
pp. 689-702.
Springer Science and Business Media.
Ghodrati, Amir, Diba, Ali, Pedersoli, Marco, Tuytelaars, Tinne et Gool, Luc Van.
2015.
« Deepproposal: Hunting objects by cascading deep convolutional layers ».
In 15th IEEE International Conference on Computer Vision ( ICCV) (Santiago, Chile, Dec. 11-18, 2015)
pp. 2578-2586.
IEEE.
Ghodrati, Amir, Jia, Xu, Pedersoli, Marco et Tuytelaars, Tinne.
2015.
« Swap retrieval: Retrieving images of cats when the query shows a dog ».
In 5th ACM International Conference on Multimedia Retrieval (ICMR) (Shanghai, China, June 23-26, 2015)
pp. 395-402.
Association for Computing Machinery.
Ghodrati, Amir, Jia, Xu, Pedersoli, Marco et Tuytelaars, Tinne.
2016.
« Towards automatic image editing: learning to see another you ».
In Proceedings of the British Machine Vision Conference (York County, United kingdom, Sept. 19-22, 2016)
BMVA Press.
Ghodrati, Amir, Pedersoli, Marco et Tuytelaars, Tinne.
2014.
« Coupling video segmentation and action recognition ».
In 2014 IEEE Winter Conference on Applications of Computer Vision (WACV) (Steamboat Springs, CO, USA, Mar. 24-26, 2014)
pp. 618-625.
IEEE Computer Society.
Ghodrati, Amir, Pedersoli, Marco et Tuytelaars, Tinne.
2014.
« Is 2D information enough for viewpoint estimation? ».
In Proceedings British Machine Vision Conference (Nottingham, United kingdom, Sept. 01-05, 2014)
BMVA Press.
Guerrero Peña, Fidel A., Medeiros, Heitor Rapela, Dubail, Thomas, Aminbeidokhti, Masih, Granger, Eric G. et Pedersoli, Marco.
2023.
« Re-basin via implicit Sinkhorn differentiation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 20237-20246.
IEEE Computer Society.
Gupta, Aarush, Agrawal, Dakshit, Chauhan, Hardik, Dolz, Jose et Pedersoli, Marco.
2018.
« An attention model for group-level emotion recognition ».
In 20th ACM International Conference on Multimodal Interaction (ICIM '18) (Boulder, CO, USA, Oct. 16-20, 2018)
pp. 611-615.
ACM.
Mathias, Markus, Pedersoli, Marco, Gool, Luc Van, Benenson, Rodrigo et Gool, Luc Van.
2014.
« Face detection without bells and whistles ».
In Computer Vision - ECCV 2014 : 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV (Zurich, Switzerland, Sept. 6-12, 2014)
Coll. « Lecture Notes in Computer Science », vol. 8692.
pp. 720-735.
Springer International Publishing.
Meethal, Akhil, Granger, Eric et Pedersoli, Marco.
2023.
« Cascaded zoom-in detector for high resolution aerial images ».
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)
pp. 2046-2055.
IEEE Computer Society.
Meethal, Akhil, Pedersoli, Marco, Belharbi, Soufiane et Granger, Eric.
2020.
« Convolutional STN for weakly supervised object localization ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021)
pp. 10157-10164.
IEEE.
Meethal, Akhil, Pedersoli, Marco, Zhu, Zhongwen, Romero, Francisco Perdigon et Granger, Eric.
2022.
« Semi-weakly supervised object detection by sampling pseudo ground-truth boxes ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
Institute of Electrical and Electronics Engineers Inc..
Mekhazni, Djebril, Dufau, Maximilien, Desrosiers, Christian, Pedersoli, Marco et Granger, Eric.
2023.
« Camera alignment and weighted contrastive learning for domain adaptation in video person ReID ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 1624-1633.
Institute of Electrical and Electronics Engineers Inc..
Mounsaveng, Saypraseuth, Laradji, Issam, Ben Ayed, Ismail, Vazquez, David et Pedersoli, Marco.
2021.
« Learning data augmentation with online bilevel optimization for image classification ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021)
pp. 1690-1699.
Institute of Electrical and Electronics Engineers Inc..
Murtaza, Shakeeb, Belharbi, Soufiane, Pedersoli, Marco, Sarraf, Aydin et Granger, Eric.
2023.
« Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization ».
In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023)
pp. 155-165.
Institute of Electrical and Electronics Engineers Inc..
Nguyen-Meidine, Le Thanh, Granger, Eric, Kiran, Madhu, Pedersoli, Marco et Blais-Morin, Louis-Antoine.
2020.
« Progressive gradient pruning for classification, detection and domain adaptation ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - en ligne, Jan. 10-15, 2021)
pp. 2795-2802.
Institute of Electrical and Electronics Engineers Inc..
Pedersoli, Marco, Gonzàlez, Jordi, Bagdanov, Andrew D. et Villanueva, Juan J..
2010.
« Recursive coarse-to-fine localization for fast object detection ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 6316.
pp. 280-293.
Springer Verlag.
Pedersoli, Marco, Gonzalez, Jordi et Villanueva, Juan Jose.
2009.
« High-speed human detection using a multiresolution cascade of histograms of oriented gradients ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5524.
pp. 48-55.
Springer Verlag.
Pedersoli, Marco, Lucas, Thomas, Schmid, Cordelia et Verbeek, Jakob.
2017.
« Areas of attention for image captioning ».
In 2017 IEEE International Conference on Computer Vision (ICCV) (Venice, Italy, Oct. 22-29, 2017)
pp. 1251-1259.
IEEE.
Pedersoli, Marco et Tuytelaars, Tinne.
2014.
« A scalable 3D HOG model for fast object detection and viewpoint estimation ».
In 2nd International Conference on 3D Vision (3DV) (Tokyo, Japan, Dec. 08-11, 2014)
pp. 163-170.
IEEE.
Pedersoli, Marco et Tuytelaars, Tinne.
2015.
« Learning where to position parts in 3D ».
In 15th IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 11-15, 2015)
pp. 136-144.
IEEE.
Pedersoli, Marco, Tuytelaars, Tinne et Van Gool, Luc.
2014.
« Using a deformation field model for localizing faces and facial points under weak supervision ».
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, United states, June 23-28, 2014)
pp. 3694-3701.
IEEE Computer Society.
Pedersoli, Marco, Vedaldi, Andrea et Gonzàlez, Jordi.
2011.
« A coarse-to-fine approach for fast deformable object detection ».
In 2011 IEEE Conference on Computer Vision and Pattern Recognition (Colorado Springs, CO, USA, June 20-25, 2011)
pp. 1353-1360.
IEEE Computer Society.
Peng, Jizong, Desrosiers, Christian et Pedersoli, Marco.
2018.
« DC-SegNet: a discretely constrained deep network for weakly supervised segmentation ».
In 32nd Conference on Neural Information Processing Systems (NIPS 2018) - Medical Imaging Meets NIPS Workshop (MED-NEURIPS 2018) (Montreal, QC, Canada, Dec. 08, 2018)
Peng, Jizong, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Mutual information deep regularization for semi-supervised segmentation ».
In Proceedings of the Third Conference on Medical Imaging with Deep Learning (Montreal, QC, Canada, July 06-08, 2020)
Coll. « Proceedings of Machine Learning Research », vol. 121.
pp. 601-613.
PMLR.
Peng, Jizong, Wang, Ping, Desrosiers, Christian et Pedersoli, Marco.
2021.
« Self-paced contrastive learning for semi-supervised medical image segmentation with meta-labels ».
In Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (En ligne, Dec. 06-14, 2021)
pp. 16686-16699.
Neural information processing systems foundation.
Praveen, R. G., de Melo, W. C., Ullah, N., Aslam, H., Zeeshan, O., Denorme, T., Pedersoli, M., Koerich, A. L., Bacon, S., Cardinal, P. et Granger, E..
2022.
« A joint cross-attention model for audio-visual fusion in dimensional emotion recognition ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (New Orleans, LA, USA, June 19-20, 2022)
pp. 2485-2494.
Piscataway, NJ, USA : IEEE.
Rodriguez, Juan A., Vazquez, David, Laradji, Issam, Pedersoli, Marco et Rodriguez, Pau.
2023.
« OCR-VQGAN: Taming text-within-image generation ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 3678-3687.
Institute of Electrical and Electronics Engineers Inc..
Rony, Jerome, Granger, Eric, Pedersoli, Marco et Ben Ayed, Ismail.
2021.
« Augmented Lagrangian Adversarial Attacks ».
In 18th IEEE/CVF International Conference on Computer Vision (ICCV) (Montreal, QC, Canada - en ligne, Oct. 10-17, 2021)
pp. 7718-7727.
Institute of Electrical and Electronics Engineers Inc..
Roshtkhari, Mehraveh Javan, Toews, Matthew et Pedersoli, Marco.
2023.
« Balanced mixture of supernets for learning the CNN pooling architecture ».
In 2nd International Conferenceon Automated Machine Learning, AutoML (Berlin, Germany, Sept. 12-15, 2023)
Coll. « Proceedings of Machine Learning Research », vol. 228.
ML Research Press.
Saadati, Mirmohammad, Pedersoli, Marco, Cardinal, Patrick et Oliver, Peter.
2021.
« RADARSAT-2 Synthetic-Aperture radar land cover segmentation using deep convolutional neural networks ».
In Pattern Recognition. ICPR International Workshops and Challenges, Virtual Event, January 10-15, 2021, Proceedings Part VIII (Milan, Italy, Jan. 10-15, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12668.
pp. 106-117.
Springer.
Shapovalova, Nataliya, Gong, Wenjuan, Pedersoli, Marco, Roca, Francesc Xavier et Gonzàlez, Jordi.
2011.
« On importance of interactions and context in human action recognition ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 6669.
pp. 58-66.
Springer Verlag.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuanfeng, Zhang, Caiming et Desrosiers, Christian.
2021.
« Context-aware virtual adversarial training for anatomically-plausible segmentation ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 12901.
pp. 304-314.
Springer Science and Business Media Deutschland GmbH. Chapitre de livre
Castelló, Marc, Gonzàlez, Jordi, Amato, Ariel, Baiget, Pau, Fernández, Carles, Gonfaus, Josep M., Mollineda, Ramón A., Pedersoli, Marco, de la Blanca, Nicolás Pérez et Roca, F. Xavier.
2013.
« Exploiting multimodal interaction techniques for video-surveillance ».
In
Multimodal interaction in image and video applications.
Coll. « Intelligent systems reference library », vol. 48.
pp. 135-151. Berlin, Heidelberg : Springer Berlin Heidelberg.
Pedersoli, Marco, Gonzàlez, Jordi, Chakraborty, Bhaskar et Villanueva, Juan J..
2007.
« Enhancing real-time human detection based on histograms of oriented gradients ».
In
Computer Recognition Systems 2.
Coll. « Advances in Soft Computing », vol. 45.
pp. 739-746. Springer. CommunicationGhodrati, Amir, Pedersoli, Marco et Tuytelaars, Tinne. 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). Gonfaus, Josep M., Boix, Xavier, Khan, Fahad S., van de Weijer, Joost, Bagdanov, Andrew D., Pedersoli, Marco, Serrat, Joan, Roca, Xavier et Gonzàlez, Jordi. 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). Mathias, Markus, Pedersoli, Marco, Gool, Luc Van, Benenson, Rodrigo et Gool, Luc Van. 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). Pedersoli, Marco, Gonzalez, Jordi et Villanueva, Juan Jose. 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). Pedersoli, Marco, Vedaldi, Andrea et Gonzàlez, Jordi. 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). Rapport technique
Pedersoli, Marco, Timofte, Radu, Tuytelaars, Tinne et Van Gool, Luc.
2014.
« An Elastic Deformation Field Model for Object Detection and Tracking ».
Coll. « KU Leuven technical report », vol. 1401.
KU leuven. 19 p. Mémoire ou thèsePedersoli, Marco. 2012. « Hierarchical multiresolution models for fast object detection ». Thèse de doctorat. Barcelona, Spain, Universitat Autònoma de Barcelona |
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