Marco Pedersoli

186 papers A* 12A 17B 10Misc 2Journal 116Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition. CoRR Muhammad Osama Zeeshan, Masoumeh Sharafi, Benoît Savary, Alessandro Lameiras Koerich, Marco Pedersoli, Eric Granger
2026	J	`jnl`	Privileged learning via a multi-task distilled approach. Pattern Recognit. Mario Martínez-García, Jon Vadillo, Marco Pedersoli, Iñaki Inza, José Antonio Lozano
2026	J	`jnl`	Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition. IEEE Trans. Affect. Comput. Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro Lameiras Koerich, Eric Granger
2026	J	`jnl`	Test-Time Adaptation via Cache Personalization for Facial Expression Recognition in Videos. CoRR Masoumeh Sharafi, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Eric Granger
2026	J	`jnl`	VectorGym: A Multitask Benchmark for SVG Code Generation, Sketching, and Editing. CoRR Juan A. Rodríguez, Haotian Zhang, Abhay Puri, Tianyang Zhang, Rishav Pramanik, Meng Lin, Xiaoqing Xie, Marco Terral, Darsh Kaushik, Aly Shariff, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025	A	`conf`	A Realistic Protocol for Evaluation of Weakly Supervised Object Localization. WACV Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger
2025	J	`jnl`	AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems. CoRR Shambhavi Mishra, Gaurav Sahu, Marco Pedersoli, Laurent Charlin, Jose Dolz, Christopher Pal
2025	—	`conf`	Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and Competition. CVPR Workshops 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
2025	J	`jnl`	AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. CoRR Ahmed Masry, Juan A. Rodríguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar
2025	A	`conf`	Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors. WACV Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
2025	J	`jnl`	BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change. CoRR Manuela González-González, Soufiane Belharbi, Muhammad Osama Zeeshan, Masoumeh Sharafi, Muhammad Haseeb Aslam, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2025	J	`jnl`	CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos. Pattern Recognit. Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2025	B	`conf`	Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data. FG Masoumeh Sharafi, Emma Ollivier, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2025	J	`jnl`	Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data. CoRR Masoumeh Sharafi, Emma Ollivier, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2025	J	`jnl`	Distilling semantically aware orders for autoregressive image generation. CoRR Rishav Pramanik, Antoine Poupon, Juan A. Rodríguez, Masih Aminbeidokhti, David Vázquez, Christopher Pal, Zhaozheng Yin, Marco Pedersoli
2025	J	`jnl`	High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization. CoRR Masih Aminbeidokhti, Heitor Rapela Medeiros, Srikanth Muralidharan, Eric Granger, Marco Pedersoli
2025	J	`jnl`	Infrared Object Detection with Ultra Small ConvNets: Is ImageNet Pretraining Still Useful? CoRR Srikanth Muralidharan, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2025	—	`conf`	Iterative Monte Carlo Tree Search for Neural Architecture Search. AutoML Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli
2025	J	`jnl`	LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups. CoRR Masih Aminbeidokhti, Subhankar Roy, Eric Granger, Elisa Ricci, Marco Pedersoli
2025	—	`conf`	Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation. ECML/PKDD (6) Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro Lameiras Koerich, Ali Etemad, Eric Granger
2025	J	`jnl`	Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation. CoRR Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro L. Koerich, Ali Etemad, Eric Granger
2025	J	`jnl`	Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification. CoRR Taha Mustapha Nehdi, Nairouz Mrabah, Atif Belal, Marco Pedersoli, Eric Granger
2025	A	`conf`	Mixed Patch Visible-Infrared Modality Agnostic Object Detection. WACV Heitor Rapela Medeiros, David Latortue, Eric Granger, Marco Pedersoli
2025	J	`jnl`	MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training. CoRR Muhammad Osama Zeeshan, Natacha Gillet, Alessandro Lameiras Koerich, Marco Pedersoli, François Brémond, Eric Granger
2025	J	`jnl`	Neural Architecture Search by Learning a Hierarchical Search Space. CoRR Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli
2025	J	`jnl`	Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method. CoRR Masoumeh Sharafi, Soufiane Belharbi, Houssem Ben Salem, Ali Etemad, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2025	J	`jnl`	Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition. CoRR Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro Lameiras Koerich, Eric Grange
2025	J	`jnl`	Rendering-Aware Reinforcement Learning for Vector Graphics Generation. CoRR Juan A. Rodríguez, Haotian Zhang, Abhay Puri, Aarash Feizi, Rishav Pramanik, Pascal Wichmann, Arnab Kumar Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025	J	`jnl`	Revisiting Mixout: An Overlooked Path to Robust Finetuning. CoRR Masih Aminbeidokhti, Heitor Rapela Medeiros, Eric Granger, Marco Pedersoli
2025	A*	`conf`	StarVector: Generating Scalable Vector Graphics Code from Images and Text. AAAI Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025	A*	`conf`	StarVector: Generating Scalable Vector Graphics Code from Images and Text. CVPR Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025	J	`jnl`	TeD-Loc: Text Distillation for Weakly Supervised Object Localization. CoRR Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger
2025	J	`jnl`	VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors. CoRR Atif Belal, Heitor Rapela Medeiros, Marco Pedersoli, Eric Granger
2025	J	`jnl`	WiSE-OD: Benchmarking Robustness in Infrared Object Detection. CoRR Heitor Rapela Medeiros, Atif Belal, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2024	J	`jnl`	Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection. CoRR Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
2024	A	`conf`	Bag of Tricks for Fully Test-Time Adaptation. WACV Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
2024	J	`jnl`	BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. CoRR Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar
2024	J	`jnl`	Boundary-aware information maximization for self-supervised medical image segmentation. Medical Image Anal. Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers
2024	B	`conf`	Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport. FG Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2024	J	`jnl`	Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport. CoRR Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger
2024	J	`jnl`	Do not trust what you trust: Miscalibration in Semi-supervised Learning. CoRR Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2024	J	`jnl`	Do not trust what you trust: Miscalibration in Semisupervised Learning. Trans. Mach. Learn. Res. Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2024	A	`conf`	Domain Generalization by Rejecting Extreme Augmentations. WACV Masih Aminbeidokhti, Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli
2024	—	`conf`	Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting. WACV (Workshops) David Latortue, Moetez Kdayem, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
2024	B	`conf`	Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues. FG Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2024	J	`jnl`	Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues. CoRR Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2024	A	`conf`	HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information. WACV Heitor Rapela Medeiros, Fidel A. Guerrero-Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli
2024	J	`jnl`	IntentGPT: Few-shot Intent Discovery with Large Language Models. CoRR Juan A. Rodríguez, Nicholas Botzer, David Vázquez, Christopher Pal, Marco Pedersoli, Issam H. Laradji
2024	J	`jnl`	Joint Multimodal Transformer for Dimensional Emotional Recognition in the Wild. CoRR Paul Waligora, Osama Zeeshan, Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2024	—	`conf`	Joint Multimodal Transformer for Emotion Recognition in the Wild. CVPR Workshops Paul Waligora, Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2024	—	`conf`	Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. ANNPR Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger
2024	J	`jnl`	Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. CoRR Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger
2024	B	`conf`	Masked Multi-Query Slot Attention for Unsupervised Object Discovery. IJCNN Rishav Pramanik, José-Fabian Villa-Vásquez, Marco Pedersoli
2024	J	`jnl`	Masked Multi-Query Slot Attention for Unsupervised Object Discovery. CoRR Rishav Pramanik, José-Fabian Villa-Vásquez, Marco Pedersoli
2024	J	`jnl`	MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection. CoRR Heitor Rapela Medeiros, David Latortue, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
2024	—	`conf`	Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge. ECCV (89) Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel Alejandro Guerrero Peña, David Latortue, Eric Granger, Marco Pedersoli
2024	J	`jnl`	Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge. CoRR Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A. Guerrero-Peña, David Latortue, Eric Granger, Marco Pedersoli
2024	J	`jnl`	Multi Teacher Privileged Knowledge Distillation for Multimodal Expression Recognition. CoRR Muhammad Haseeb Aslam, Marco Pedersoli, Alessandro Lameiras Koerich, Eric Granger
2024	A	`conf`	Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher. WACV Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
2024	J	`jnl`	Realistic Model Selection for Weakly Supervised Object Localization. CoRR Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger
2024	—	`conf`	Source-Free Domain Adaptation for YOLO Object Detection. ECCV Workshops (18) Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli, Eric Granger
2024	J	`jnl`	Source-Free Domain Adaptation for YOLO Object Detection. CoRR Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli, Eric Granger
2024	J	`jnl`	Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition. CoRR Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2024	B	`conf`	Subject-Based Domain Adaptation for Facial Expression Recognition. FG Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2024	—	`conf`	Textualized and Feature-Based Models for Compound Multimodal Emotion Recognition in the Wild. ECCV Workshops (15) 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
2024	J	`jnl`	Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild. CoRR 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
2024	J	`jnl`	Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy. CoRR José-Fabian Villa-Vásquez, Marco Pedersoli
2024	J	`jnl`	Visual Modality Prompt for Adapting Vision-Language Object Detectors. CoRR Heitor Rapela Medeiros, Atif Belal, Srikanth Muralidharan, Eric Granger, Marco Pedersoli
2024	J	`jnl`	WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average. CoRR Louis Fournier, Adel Nabli, Masih Aminbeidokhti, Marco Pedersoli, Eugene Belilovsky, Edouard Oyallon
2024	J	`jnl`	Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation. CoRR Shambhavi Mishra, Julio Silva-Rodríguez, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2023	J	`jnl`	Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed
2023	J	`jnl`	Bag of Tricks for Fully Test-Time Adaptation. CoRR Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
2023	J	`jnl`	Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture. CoRR Mehraveh Javan, Matthew Toews, Marco Pedersoli
2023	—	`conf`	Balanced Mixture of Supernets for Learning the CNN Pooling Architecture. AutoML Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli
2023	J	`jnl`	CAT: Constrained Adversarial Training for Anatomically-Plausible Semi-Supervised Segmentation. IEEE Trans. Medical Imaging Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
2023	A	`conf`	Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. WACV Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger
2023	—	`conf`	Cascaded Zoom-in Detector for High Resolution Aerial Images. CVPR Workshops Akhil Meethal, Eric Granger, Marco Pedersoli
2023	J	`jnl`	Cascaded Zoom-in Detector for High Resolution Aerial Images. CoRR Akhil Meethal, Eric Granger, Marco Pedersoli
2023	J	`jnl`	CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. CoRR Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2023	J	`jnl`	Density Crop-guided Semi-supervised Object Detection in Aerial Images. CoRR Akhil Meethal, Eric Granger, Marco Pedersoli
2023	J	`jnl`	DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization. CoRR Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2023	J	`jnl`	DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization. Image Vis. Comput. Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2023	—	`conf`	Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. WACV (Workshops) Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2023	J	`jnl`	Domain Generalization by Rejecting Extreme Augmentations. CoRR Masih Aminbeidokhti, Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli
2023	J	`jnl`	Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting. CoRR David Latortue, Moetez Kdayem, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
2023	—	`conf`	FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2023	J	`jnl`	FigGen: Text to Scientific Figure Generation. CoRR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2023	J	`jnl`	HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information. CoRR Heitor Rapela Medeiros, Fidel A. Guerrero-Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli
2023	J	`jnl`	Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher. CoRR Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
2023	A	`conf`	OCR-VQGAN: Taming Text-within-Image Generation. WACV Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2023	—	`conf`	Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild. CVPR Workshops Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger
2023	A*	`conf`	Re-basin via implicit Sinkhorn differentiation. CVPR Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2023	J	`jnl`	Shape-Aware Joint Distribution Alignment for Cross-Domain Image Segmentation. IEEE Trans. Medical Imaging Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
2023	J	`jnl`	StarVector: Generating Scalable Vector Graphics Code from Images. CoRR Juan A. Rodríguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli
2023	J	`jnl`	Subject-Based Domain Adaptation for Facial Expression Recognition. CoRR Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro L. Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2022	—	`conf`	A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CVPR Workshops 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
2022	J	`jnl`	A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CoRR Gnana Praveen Rajasekhar, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Patrick Cardinal, Eric Granger
2022	J	`jnl`	Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation. CoRR Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers
2022	J	`jnl`	Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. CoRR Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger
2022	J	`jnl`	Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization. CoRR Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2022	J	`jnl`	Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. CoRR Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2022	A	`conf`	F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. WACV Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	Incremental multi-target domain adaptation for object detection with efficient domain transfer. Pattern Recognit. Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2022	—	`conf`	Negative Evidence Matters in Interpretable Histology Image Classification. MIDL Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	Negative Evidence Matters in Interpretable Histology Image Classification. CoRR Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	OCR-VQGAN: Taming Text-within-Image Generation. CoRR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2022	—	`conf`	Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras. ECCV Workshops (5) Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2022	J	`jnl`	Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras. CoRR Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2022	J	`jnl`	Re-basin via implicit Sinkhorn differentiation. CoRR Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2022	B	`conf`	Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. IJCNN Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger
2022	J	`jnl`	Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. CoRR Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger
2021	A*	`conf`	Augmented Lagrangian Adversarial Attacks. ICCV Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
2021	J	`jnl`	Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization. CoRR Jizong Peng, Marco Pedersoli, Christian Desrosiers
2021	—	`conf`	Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation. MICCAI (1) Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
2021	J	`jnl`	Context-aware virtual adversarial training for anatomically-plausible segmentation. CoRR Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
2021	J	`jnl`	Deep Clustering: On the Link Between Discriminative Models and K-Means. IEEE Trans. Pattern Anal. Mach. Intell. Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed
2021	J	`jnl`	Diversified Multi-prototype Representation for Semi-supervised Segmentation. CoRR Jizong Peng, Christian Desrosiers, Marco Pedersoli
2021	J	`jnl`	F-CAM: Full Resolution CAM via Guided Parametric Upscaling. CoRR Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2021	J	`jnl`	Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer. CoRR Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021	A	`conf`	Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
2021	A	`conf`	On the Texture Bias for Few-Shot CNN Segmentation. WACV Reza Azad, Abdur Razzaq Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2021	A*	`conf`	Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels. NeurIPS Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli
2021	J	`jnl`	Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels. CoRR Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli
2021	J	`jnl`	Self-paced and self-consistent co-training for semi-supervised image segmentation. Medical Image Anal. Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
2021	A	`conf`	Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. WACV Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger
2020	—	`conf`	A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Augmented Lagrangian Adversarial Attacks. CoRR Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
2020	B	`conf`	Convolutional STN for Weakly Supervised Object Localization. ICPR Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger
2020	J	`jnl`	Deep co-training for semi-supervised image segmentation. Pattern Recognit. Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers
2020	J	`jnl`	Discretely-constrained deep network for weakly supervised segmentation. Neural Networks Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
2020	J	`jnl`	Learning Data Augmentation with Online Bilevel Optimization for Image Classification. CoRR Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
2020	J	`jnl`	Metric learning: cross-entropy vs. pairwise losses. CoRR Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020	—	`conf`	Mutual information deep regularization for semi-supervised segmentation. MIDL Jizong Peng, Marco Pedersoli, Christian Desrosiers
2020	J	`jnl`	On the Texture Bias for Few-Shot CNN Segmentation. CoRR Reza Azad, Abdur Razzaq Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2020	B	`conf`	Progressive Gradient Pruning for Classification, Detection and Domain Adaptation. ICPR Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin
2020	—	`conf`	RADARSAT-2 Synthetic-Aperture Radar Land Cover Segmentation Using Deep Convolutional Neural Networks. ICPR Workshops (8) Mirmohammad Saadati, Marco Pedersoli, Patrick Cardinal, Peter Oliver
2020	J	`jnl`	Self-paced and self-consistent co-training for semi-supervised image segmentation. CoRR Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
2020	J	`jnl`	Semi-supervised few-shot learning for medical image segmentation. CoRR Abdur Razzaq Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz
2020	J	`jnl`	Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. CoRR Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger
2019	J	`jnl`	A Computing Kernel for Network Binarization on PyTorch. CoRR Xianda Xu, Marco Pedersoli
2019	J	`jnl`	Adversarial Learning of General Transformations for Data Augmentation. CoRR Saypraseuth Mounsaveng, David Vázquez, Ismail Ben Ayed, Marco Pedersoli
2019	J	`jnl`	Convolutional STN for Weakly Supervised Object Localization and Beyond. CoRR Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger
2019	J	`jnl`	Deep Co-Training for Semi-Supervised Image Segmentation. CoRR Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers
2019	J	`jnl`	Discretely-constrained deep network for weakly supervised segmentation. CoRR Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
2019	—	`conf`	Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. ICIAR (1) Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger
2019	J	`jnl`	Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. CoRR Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger
2019	J	`jnl`	Information based Deep Clustering: An experimental study. CoRR Jizong Peng, Christian Desrosiers, Marco Pedersoli
2019	J	`jnl`	Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition. CoRR Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger, Marco Pedersoli, Patrick Cardinal, Alessandro L. Koerich
2019	J	`jnl`	Unsupervised Exemplar-Based Learning for Improved Document Image Classification. IEEE Access Sherif Abuelwafa, Marco Pedersoli, Mohamed Cheriet
2018	B	`conf`	An Attention Model for Group-Level Emotion Recognition. ICMI Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli
2018	J	`jnl`	An Attention Model for group-level emotion recognition. CoRR Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli
2018	J	`jnl`	Deep clustering: On the link between discriminative models and K-means. CoRR Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed
2017	A*	`conf`	Areas of Attention for Image Captioning. ICCV Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek
2017	J	`jnl`	DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. Int. J. Comput. Vis. Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool
2017	J	`jnl`	Modeling Information Flow Through Deep Neural Networks. CoRR Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews
2016	J	`jnl`	Areas of Attention for Image Captioning. CoRR Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek
2016	J	`jnl`	DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. CoRR Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool
2016	A	`conf`	Towards Automatic Image Editing: Learning to See another You. BMVC Xu Jia, Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars
2015	J	`jnl`	A coarse-to-fine approach for fast deformable object detection. Pattern Recognit. Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez, F. Xavier Roca
2015	J	`jnl`	An Elastic Deformation Field Model for Object Detection and Tracking. Int. J. Comput. Vis. Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool
2015	J	`jnl`	Combining where and what in change detection for unsupervised foreground learning in surveillance. Pattern Recognit. Iván Huerta, Marco Pedersoli, Jordi Gonzàlez, Alberto Sanfeliu
2015	A*	`conf`	DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. ICCV Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool
2015	J	`jnl`	DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. CoRR Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool
2015	J	`jnl`	Factorized appearances for object detection. Comput. Vis. Image Underst. Josep M. Gonfaus, Marco Pedersoli, Jordi Gonzàlez, Andrea Vedaldi, F. Xavier Roca
2015	A*	`conf`	Learning Where to Position Parts in 3D. ICCV Marco Pedersoli, Tinne Tuytelaars
2015	B	`conf`	Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog. ICMR Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars
2015	J	`jnl`	Towards Automatic Image Editing: Learning to See another You. CoRR Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars
2015	A*	`conf`	Weakly supervised object detection with convex clustering. CVPR Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars
2014	—	`conf`	A Scalable 3D HOG Model for Fast Object Detection and Viewpoint Estimation. 3DV Marco Pedersoli, Tinne Tuytelaars
2014	A	`conf`	Coupling video segmentation and action recognition. WACV Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars
2014	—	`conf`	Face Detection without Bells and Whistles. ECCV (4) Markus Mathias, Rodrigo Benenson, Marco Pedersoli, Luc Van Gool
2014	A	`conf`	Is 2D Information Enough For Viewpoint Estimation?. BMVC Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars
2014	A*	`conf`	Object Classification with Adaptable Regions. CVPR Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool
2014	J	`jnl`	Toward Real-Time Pedestrian Detection Based on a Deformable Template Model. IEEE Trans. Intell. Transp. Syst. Marco Pedersoli, Jordi Gonzàlez, Xu Hu, F. Xavier Roca
2014	A*	`conf`	Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision. CVPR Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool
2014	A	`conf`	Weakly Supervised Detection with Posterior Regularization. BMVC Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars
2013	—	`ch.`	Exploiting Multimodal Interaction Techniques for Video-Surveillance. Multimodal Interaction in Image and Video Applications 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
2012	—	`—`	Hierarchical multiresolution models for fast object detection. Marco Pedersoli
2011	A*	`conf`	A coarse-to-fine approach for fast deformable object detection. CVPR Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez
2011	J	`jnl`	Efficient discriminative multiresolution cascade for real-time human detection applications. Pattern Recognit. Lett. Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, F. Xavier Roca
2011	Misc	`conf`	On Importance of Interactions and Context in Human Action Recognition. IbPRIA Nataliya Shapovalova, Wenjuan Gong, Marco Pedersoli, Francesc Xavier Roca, Jordi Gonzàlez
2010	J	`jnl`	On tracking inside groups. Mach. Vis. Appl. Daniel Rowe, Jordi Gonzàlez, Marco Pedersoli, Juan José Villanueva
2010	—	`conf`	Recursive Coarse-to-Fine Localization for Fast Object Detection. ECCV (6) Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, Juan José Villanueva
2009	Misc	`conf`	High-Speed Human Detection Using a Multiresolution Cascade of Histograms of Oriented Gradients. IbPRIA Marco Pedersoli, Jordi Gonzàlez, Juan José Villanueva
2008	—	`ch.`	Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients. Computer Recognition Systems 2 Marco Pedersoli, Jordi Gonzàlez, Bhaskar Chakraborty, Juan José Villanueva
2008	—	`conf`	View-Invariant Human Action Detection Using Component-Wise HMM of Body Parts. AMDO Bhaskar Chakraborty, Marco Pedersoli, Jordi Gonzàlez