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2020 – today
- 2022
[c32]Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. WACV 2022: 3727-3736- [i32]Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Negative Evidence Matters in Interpretable Histology Image Classification. CoRR abs/2201.02445 (2022) - [i31]Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers:
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation. CoRR abs/2202.02371 (2022) - [i30]Gnana Praveen Rajasekhar, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Patrick Cardinal, Eric Granger:
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CoRR abs/2203.14779 (2022) - [i29]Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger:
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. CoRR abs/2204.00147 (2022) - 2021
- [j13]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Self-paced and self-consistent co-training for semi-supervised image segmentation. Medical Image Anal. 73: 102146 (2021) - [j12]Mohammed Jabi, Marco Pedersoli
, Amar Mitiche, Ismail Ben Ayed:
Deep Clustering: On the Link Between Discriminative Models and K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1887-1896 (2021) - [c31]Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. ICCV 2021: 7718-7727 - [c30]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation. MICCAI (1) 2021: 304-314 - [c29]Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli:
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels. NeurIPS 2021: 16686-16699 - [c28]Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli:
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV 2021: 1690-1699 - [c27]Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
On the Texture Bias for Few-Shot CNN Segmentation. WACV 2021: 2673-2682 - [c26]Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger:
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. WACV 2021: 3028-3037 - [i28]Jizong Peng, Marco Pedersoli, Christian Desrosiers:
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization. CoRR abs/2103.04813 (2021) - [i27]Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer. CoRR abs/2104.06476 (2021) - [i26]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Context-aware virtual adversarial training for anatomically-plausible segmentation. CoRR abs/2107.05532 (2021) - [i25]Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli:
Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels. CoRR abs/2107.13741 (2021) - [i24]Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
F-CAM: Full Resolution CAM via Guided Parametric Upscaling. CoRR abs/2109.07069 (2021) - [i23]Jizong Peng, Christian Desrosiers, Marco Pedersoli:
Diversified Multi-prototype Representation for Semi-supervised Segmentation. CoRR abs/2111.08651 (2021) - 2020
- [j11]Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. Neural Networks 130: 297-308 (2020) - [j10]Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers:
Deep co-training for semi-supervised image segmentation. Pattern Recognit. 107: 107269 (2020) - [c25]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) 2020: 548-564 - [c24]Mirmohammad Saadati, Marco Pedersoli, Patrick Cardinal, Peter Oliver:
RADARSAT-2 Synthetic-Aperture Radar Land Cover Segmentation Using Deep Convolutional Neural Networks. ICPR Workshops (8) 2020: 106-117 - [c23]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin:
Progressive Gradient Pruning for Classification, Detection and Domain Adaptation. ICPR 2020: 2795-2802 - [c22]Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger:
Convolutional STN for Weakly Supervised Object Localization. ICPR 2020: 10157-10164 - [c21]Jizong Peng, Marco Pedersoli, Christian Desrosiers:
Mutual information deep regularization for semi-supervised segmentation. MIDL 2020: 601-613 - [i22]Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
On the Texture Bias for Few-Shot CNN Segmentation. CoRR abs/2003.04052 (2020) - [i21]Abdur R. Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz:
Semi-supervised few-shot learning for medical image segmentation. CoRR abs/2003.08462 (2020) - [i20]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
Metric learning: cross-entropy vs. pairwise losses. CoRR abs/2003.08983 (2020) - [i19]Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli:
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. CoRR abs/2006.14699 (2020) - [i18]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Self-paced and self-consistent co-training for semi-supervised image segmentation. CoRR abs/2011.00325 (2020) - [i17]Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger:
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. CoRR abs/2011.05227 (2020) - [i16]Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. CoRR abs/2011.11857 (2020)
2010 – 2019
- 2019
- [j9]Sherif Abuelwafa, Marco Pedersoli, Mohamed Cheriet:
Unsupervised Exemplar-Based Learning for Improved Document Image Classification. IEEE Access 7: 133738-133748 (2019) - [c20]Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger:
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. ICIAR (1) 2019: 323-331 - [i15]Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers:
Deep Co-Training for Semi-Supervised Image Segmentation. CoRR abs/1903.11233 (2019) - [i14]Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger, Marco Pedersoli, Patrick Cardinal, Alessandro L. Koerich:
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition. CoRR abs/1907.03196 (2019) - [i13]Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. CoRR abs/1908.05770 (2019) - [i12]Saypraseuth Mounsaveng, David Vázquez, Ismail Ben Ayed, Marco Pedersoli:
Adversarial Learning of General Transformations for Data Augmentation. CoRR abs/1909.09801 (2019) - [i11]Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger:
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. CoRR abs/1910.01254 (2019) - [i10]Jizong Peng, Christian Desrosiers, Marco Pedersoli:
Information based Deep Clustering: An experimental study. CoRR abs/1910.01665 (2019) - [i9]Xianda Xu, Marco Pedersoli:
A Computing Kernel for Network Binarization on PyTorch. CoRR abs/1911.04477 (2019) - [i8]Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger:
Convolutional STN for Weakly Supervised Object Localization and Beyond. CoRR abs/1912.01522 (2019) - 2018
- [c19]Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli:
An Attention Model for Group-Level Emotion Recognition. ICMI 2018: 611-615 - [i7]Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli:
An Attention Model for group-level emotion recognition. CoRR abs/1807.03380 (2018) - [i6]Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed:
Deep clustering: On the link between discriminative models and K-means. CoRR abs/1810.04246 (2018) - 2017
- [j8]Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. Int. J. Comput. Vis. 124(2): 115-131 (2017) - [c18]Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek:
Areas of Attention for Image Captioning. ICCV 2017: 1251-1259 - [i5]Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews:
Modeling Information Flow Through Deep Neural Networks. CoRR abs/1712.00003 (2017) - 2016
- [c17]Xu Jia, Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars:
Towards Automatic Image Editing: Learning to See another You. BMVC 2016 - [i4]Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. CoRR abs/1606.04702 (2016) - [i3]Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek:
Areas of Attention for Image Captioning. CoRR abs/1612.01033 (2016) - 2015
- [j7]Josep M. Gonfaus, Marco Pedersoli, Jordi Gonzàlez, Andrea Vedaldi, F. Xavier Roca:
Factorized appearances for object detection. Comput. Vis. Image Underst. 138: 92-101 (2015) - [j6]Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
An Elastic Deformation Field Model for Object Detection and Tracking. Int. J. Comput. Vis. 111(2): 137-152 (2015) - [j5]Iván Huerta, Marco Pedersoli, Jordi Gonzàlez, Alberto Sanfeliu:
Combining where and what in change detection for unsupervised foreground learning in surveillance. Pattern Recognit. 48(3): 709-719 (2015) - [j4]Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez, F. Xavier Roca:
A coarse-to-fine approach for fast deformable object detection. Pattern Recognit. 48(5): 1844-1853 (2015) - [c16]Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars:
Weakly supervised object detection with convex clustering. CVPR 2015: 1081-1089 - [c15]Marco Pedersoli, Tinne Tuytelaars:
Learning Where to Position Parts in 3D. ICCV 2015: 136-144 - [c14]Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. ICCV 2015: 2578-2586 - [c13]Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars:
Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog. ICMR 2015: 395-402 - [i2]Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. CoRR abs/1510.04445 (2015) - [i1]Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars:
Towards Automatic Image Editing: Learning to See another You. CoRR abs/1511.08446 (2015) - 2014
- [j3]Marco Pedersoli, Jordi Gonzàlez, Xu Hu, F. Xavier Roca:
Toward Real-Time Pedestrian Detection Based on a Deformable Template Model. IEEE Trans. Intell. Transp. Syst. 15(1): 355-364 (2014) - [c12]Marco Pedersoli, Tinne Tuytelaars:
A Scalable 3D HOG Model for Fast Object Detection and Viewpoint Estimation. 3DV 2014: 163-170 - [c11]Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars:
Weakly Supervised Detection with Posterior Regularization. BMVC 2014 - [c10]Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars:
Is 2D Information Enough For Viewpoint Estimation?. BMVC 2014 - [c9]Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool:
Object Classification with Adaptable Regions. CVPR 2014: 3662-3669 - [c8]Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision. CVPR 2014: 3694-3701 - [c7]Markus Mathias, Rodrigo Benenson, Marco Pedersoli, Luc Van Gool:
Face Detection without Bells and Whistles. ECCV (4) 2014: 720-735 - [c6]Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars:
Coupling video segmentation and action recognition. WACV 2014: 618-625 - 2013
- [p2]Marc Castelló, Jordi Gonzàlez, Ariel Amato, Pau Baiget, Carles Fernández, Josep M. Gonfaus, Ramón Alberto Mollineda Cárdenas, Marco Pedersoli, Nicolas Pérez de la Blanca, F. Xavier Roca:
Exploiting Multimodal Interaction Techniques for Video-Surveillance. Multimodal Interaction in Image and Video Applications 2013: 135-151 - 2011
- [j2]Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, F. Xavier Roca:
Efficient discriminative multiresolution cascade for real-time human detection applications. Pattern Recognit. Lett. 32(13): 1581-1587 (2011) - [c5]Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez:
A coarse-to-fine approach for fast deformable object detection. CVPR 2011: 1353-1360 - [c4]Nataliya Shapovalova, Wenjuan Gong, Marco Pedersoli, Francesc Xavier Roca, Jordi Gonzàlez:
On Importance of Interactions and Context in Human Action Recognition. IbPRIA 2011: 58-66 - 2010
- [j1]Daniel Rowe, Jordi Gonzàlez, Marco Pedersoli, Juan José Villanueva:
On tracking inside groups. Mach. Vis. Appl. 21(2): 113-127 (2010) - [c3]Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, Juan José Villanueva:
Recursive Coarse-to-Fine Localization for Fast Object Detection. ECCV (6) 2010: 280-293
2000 – 2009
- 2009
- [c2]Marco Pedersoli, Jordi Gonzàlez, Juan José Villanueva:
High-Speed Human Detection Using a Multiresolution Cascade of Histograms of Oriented Gradients. IbPRIA 2009: 48-55 - 2008
- [c1]Bhaskar Chakraborty, Marco Pedersoli, Jordi Gonzàlez:
View-Invariant Human Action Detection Using Component-Wise HMM of Body Parts. AMDO 2008: 208-217 - [p1]Marco Pedersoli, Jordi Gonzàlez, Bhaskar Chakraborty, Juan José Villanueva:
Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients. Computer Recognition Systems 2 2008: 739-746
Coauthor Index
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