Vazquez, David

55 publications

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

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

ICLR 2025 InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vazquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji

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

ICML 2025 UI-Vision: A Desktop-Centric GUI Benchmark for Visual Perception and Interaction Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodriguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vazquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

ICLRW 2025 WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation Rabiul Awal, Mahsa Massoud, Zichao Li, Aarash Feizi, Suyuchen Wang, Christopher Pal, Aishwarya Agrawal, David Vazquez, Siva Reddy, Juan A. Rodriguez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

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

NeurIPS 2024 Expecting the Unexpected: Towards Broad Out-of-Distribution Detection Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vazquez, Joao Monteiro

TMLR 2024 Exploring Validation Metrics for Offline Model-Based Optimisation with Diffusion Models Christopher Beckham, Alexandre Piché, David Vazquez, Christopher Pal

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

NeurIPS 2024 RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian

ICML 2024 WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vazquez, Nicolas Chapados, Alexandre Lacoste

ICLRW 2024 WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, Alexandre Lacoste

NeurIPS 2023 CADet: Fully Self-Supervised Out-of-Distribution Detection with Contrastive Learning Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, Joao Monteiro

NeurIPSW 2023 Capture the Flag: Uncovering Data Insights with Large Language Models Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vazquez, Christopher Pal, Alexandre Drouin

ICLR 2023 Constraining Representations Yields Models That Know What They Don't Know Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam H. Laradji, David Vazquez

AAAI 2023 Flaky Performances When Pretraining on Relational Databases (Student Abstract) Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël

NeurIPS 2023 GEO-Bench: Toward Foundation Models for Earth Monitoring Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vazquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu

NeurIPS 2023 Group Robust Classification Without Any Group Information Christos Tsirigotis, Joao Monteiro, Pau Rodriguez, David Vazquez, Aaron C. Courville

JMLR 2023 Knowledge Hypergraph Embedding Meets Relational Algebra Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole

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

NeurIPSW 2023 The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study Rim Assouel, Tom Marty, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Sai Rajeswar, Hector Palacios, Quentin Cappart, David Vazquez, Nicolas Chapados, Maxime Gasse, Alexandre Lacoste

TMLR 2023 Workflow Discovery from Dialogues in the Low Data Regime Amine El hattami, Issam H. Laradji, Stefania Raimondo, David Vazquez, Pau Rodriguez, Christopher Pal

ICLRW 2022 A Probabilistic Perspective on Reinforcement Learning via Supervised Learning Alexandre Piché, Rafael Pardinas, David Vazquez, Christopher Pal

NeurIPSW 2022 Constraining Low-Level Representations to Define Effective Confidence Scores Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam H. Laradji, David Vazquez

ICMLW 2022 Flaky Performances When Pre-Training on Relational Databases with a Plan for Future Characterization Efforts Shengchao Liu, David Vazquez, Jian Tang, Pierre-Andre Noel

NeurIPSW 2022 Implicit Offline Reinforcement Learning via Supervised Learning Alexandre Piché, Rafael Pardinas, David Vazquez, Igor Mordatch, Igor Mordatch, Christopher Pal

CVPR 2022 Multi-Label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vazquez, Aaron Courville

ICLRW 2022 Object-Centric Compositional Imagination for Visual Abstract Reasoning Rim Assouel, Pau Rodriguez, Perouz Taslakian, David Vazquez, Yoshua Bengio

CoLLAs 2022 Overcoming Challenges in Leveraging GANs for Few-Shot Data Augmentation Christopher Beckham, Issam H. Laradji, Pau Rodriguez, David Vazquez, Derek Nowrouzezahrai, Christopher Pal

WACV 2021 A Weakly Supervised Consistency-Based Learning Method for COVID-19 Segmentation in CT Images Issam Laradji, Pau Rodriguez, Oscar Manas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez, Derek Nowrouzezahrai

ICCV 2021 Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam Laradji, Laurent Charlin, David Vazquez

CoRL 2021 Haptics-Based Curiosity for Sparse-Reward Tasks Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vazquez, Aaron Courville, Pedro O. Pinheiro

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

ICCVW 2021 SSR: Semi-Supervised Soft Rasterizer for Single-View 2D to 3D Reconstruction Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai

ICCV 2021 Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vazquez, Pau Rodríguez

IJCAI 2020 Knowledge Hypergraphs: Prediction Beyond Binary Relations Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole

NeurIPS 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): A New Approach to Continual Learning Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin

NeurIPS 2020 Synbols: Probing Learning Algorithms with Synthetic Datasets Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matthew Craddock, Laurent Charlin, David Vázquez

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

ICCVW 2019 Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation Lironne Kurzman, David Vázquez, Issam H. Laradji

ICCVW 2019 Fourier-CPPNs for Image Synthesis Mattie Tesfaldet, Xavier Snelgrove, David Vázquez

ECCV 2018 Where Are the Blobs: Counting by Localization with Point Supervision Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt

WACV 2017 GPU-Accelerated Real-Time Stixel Computation Daniel Hernández Juárez, Antonio Espinosa, Juan C. Moure, David Vázquez, Antonio Manuel López Peña

ICLR 2017 PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville

CVPRW 2017 The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio

CVPR 2016 The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, Antonio M. Lopez

WACV 2015 Vision-Based Offline-Online Perception Paradigm for Autonomous Driving Germán Ros, Sebastian Ramos, Manuel Granados, Amir Bakhtiary, David Vázquez, Antonio Manuel López Peña

CVPRW 2013 Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers Jiaolong Xu, David Vázquez, Sebastian Ramos, Antonio M. López, Daniel Ponsa

ICCV 2013 Random Forests of Local Experts for Pedestrian Detection Javier Marin, David Vazquez, Antonio M. Lopez, Jaume Amores, Bastian Leibe

CVPRW 2013 Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes David Vázquez, Jiaolong Xu, Sebastian Ramos, Antonio M. López, Daniel Ponsa

CVPR 2010 Learning Appearance in Virtual Scenarios for Pedestrian Detection Javier Marín, David Vázquez, David Gerónimo, Antonio M. López