Pedersoli, Marco

53 publications

WACV 2025 A Realistic Protocol for Evaluation of Weakly Supervised Object Localization Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger

CVPRW 2025 Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and Competition Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen, Stefanos Zafeiriou, Irene Kotsia, Eric Granger, Marco Pedersoli, Simon Bacon, Alice Baird, Chris Gagne, Chunchang Shao, Guanyu Hu, Soufiane Belharbi, Muhammad Haseeb Aslam

NeurIPS 2025 AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-Andre Noel, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

ICLRW 2025 AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-Andre Noel, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

WACV 2025 Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger

ICLR 2025 BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

AutoML 2025 Iterative Monte Carlo Tree Search for Neural Architecture Search Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli

NeurIPS 2025 LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups Masih Aminbeidokhti, Subhankar Roy, Eric Granger, Elisa Ricci, Marco Pedersoli

ECML-PKDD 2025 Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro Lameiras Koerich, Ali Etemad, Eric Granger

WACV 2025 Mixed Patch Visible-Infrared Modality Agnostic Object Detection Heitor R. Medeiros, David Latortue, Eric Granger, Marco Pedersoli

NeurIPS 2025 Rendering-Aware Reinforcement Learning for Vector Graphics Generation Juan A. Rodriguez, Haotian Zhang, Abhay Puri, Rishav Pramanik, Aarash Feizi, Pascal Wichmann, Arnab Kumar Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vazquez, Christopher Pal, Marco Pedersoli

CVPR 2025 StarVector: Generating Scalable Vector Graphics Code from Images and Text Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodriguez, Sai Rajeswar, David Vazquez, Christopher Pal, Marco Pedersoli

AAAI 2025 StarVector: Generating Scalable Vector Graphics Code from Images and Text Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli

ICCV 2025 Visual Modality Prompt for Adapting Vision-Language Object Detectors Heitor R. Medeiros, Atif Belal, Srikanth Muralidharan, Eric Granger, Marco Pedersoli

WACV 2024 Bag of Tricks for Fully Test-Time Adaptation Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed

NeurIPSW 2024 BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Kurt MacDonald, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

TMLR 2024 Do Not Trust What You Trust: Miscalibration in Semisupervised Learning Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

WACV 2024 Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti, Fidel A. Guerrero Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli

WACV 2024 HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information Heitor Rapela Medeiros, Fidel A. Guerrero Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli

ICLRW 2024 IntentGPT: Few-Shot Intent Discovery with Large Language Models Juan A. Rodriguez, Nicholas Botzer, David Vazquez, Christopher Pal, Marco Pedersoli, Issam H. Laradji

CVPRW 2024 Joint Multimodal Transformer for Emotion Recognition in the Wild Paul Waligora, Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger

ECCV 2024 Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A Guerrero Pena, David Latortue, Eric Granger, Marco Pedersoli

WACV 2024 Multi-Source Domain Adaptation for Object Detection with Prototype-Based Mean Teacher Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger

ECCVW 2024 Source-Free Domain Adaptation for YOLO Object Detection Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli, Eric Granger

ECCVW 2024 Textualized and Feature-Based Models for Compound Multimodal Emotion Recognition in the Wild Nicolas Richet, Soufiane Belharbi, Haseeb Aslam, Meike Emilie Schadt, Manuela González-González, Gustave Cortal, Alessandro Lameiras Koerich, Marco Pedersoli, Alain Finkel, Simon Bacon, Eric Granger

NeurIPSW 2024 WASH: Train Your Ensemble with Communication-Efficient Weight Shuffling, Then Average Louis Fournier, Adel Nabli, Masih Aminbeidokhti, Marco Pedersoli, Eugene Belilovsky, Edouard Oyallon

AutoML 2023 Balanced Mixture of Supernets for Learning the CNN Pooling Architecture Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli

WACV 2023 Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger

CVPRW 2023 Cascaded Zoom-in Detector for High Resolution Aerial Images Akhil Meethal, Eric Granger, Marco Pedersoli

MIDL 2023 Negative Evidence Matters in Interpretable Histology Image Classification Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luck McCaffrey, Eric Granger

WACV 2023 OCR-VQGAN: Taming Text-Within-Image Generation Juan A. Rodríguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez

CVPRW 2023 Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger

CVPR 2023 Re-Basin via Implicit Sinkhorn Differentiation Fidel A. Guerrero Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli

CVPRW 2022 A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Patrick Cardinal, Eric Granger

WACV 2022 F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

ECCVW 2022 Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli

ICCV 2021 Augmented Lagrangian Adversarial Attacks Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed

WACV 2021 Learning Data Augmentation with Online Bilevel Optimization for Image Classification Saypraseuth Mounsaveng, Issam Laradji, Ismail Ben Ayed, David Vazquez, Marco Pedersoli

WACV 2021 On the Texture Bias for Few-Shot CNN Segmentation Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

NeurIPS 2021 Self-Paced Contrastive Learning for Semi-Supervised Medical Image Segmentation with Meta-Labels Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli

WACV 2021 Temporal Stochastic SoftMax for 3D CNNs: An Application in Facial Expression Recognition Theo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger

ECCV 2020 A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

ICLRW 2019 Adversarial Learning of General Transformations for Data Augmentation Saypraseuth Mounsaveng, David Vazquez, Ismail Ben Ayed, Marco Pedersoli

ICCV 2017 Areas of Attention for Image Captioning Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek

ICCV 2015 DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool

ICCV 2015 Learning Where to Position Parts in 3D Marco Pedersoli, Tinne Tuytelaars

CVPR 2015 Weakly Supervised Object Detection with Convex Clustering Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars

WACV 2014 Coupling Video Segmentation and Action Recognition Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars

ECCV 2014 Face Detection Without Bells and Whistles Markus Mathias, Rodrigo Benenson, Marco Pedersoli, Luc Van Gool

CVPR 2014 Object Classification with Adaptable Regions Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool

CVPR 2014 Using a Deformation Field Model for Localizing Faces and Facial Points Under Weak Supervision Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool

CVPR 2011 A Coarse-to-Fine Approach for Fast Deformable Object Detection Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez

ECCV 2010 Recursive Coarse-to-Fine Localization for Fast Object Detection Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, Juan José Villanueva