Learning appearance in virtual scenarios for pedestrian detection. - Javier Marín; David Vázquez 001; David Gerónimo; Antonio M. López 001 (CVPR, 2010)

Color Contribution to Part-Based Person Detection in Different Types of Scenarios. - Rao Muhammad Anwer; David Vázquez 001; Antonio M. López 001 (CAIP (2), 2011)

Opponent Colors for Human Detection. - Rao Muhammad Anwer; David Vázquez 001; Antonio M. López 001 (IbPRIA, 2011)

Virtual worlds and active learning for human detection. - David Vázquez 001; Antonio M. López 001; Daniel Ponsa; Javier Marín (ICMI, 2011)

Improving HOG with Image Segmentation: Application to Human Detection. - Yainuvis Socarrás Salas; David Vázquez Bermudez; Antonio M. López Peña; David Gerónimo Gómez; Theo Gevers (ACIVS, 2012)

Unsupervised domain adaptation of virtual and real worlds for pedestrian detection. - David Vázquez 001; Antonio M. López 001; Daniel Ponsa (ICPR, 2012)

Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes. - David Vázquez 001; Jiaolong Xu; Sebastian Ramos; Antonio M. López 001; Daniel Ponsa (CVPR Workshops, 2013)

Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers. - Jiaolong Xu; David Vázquez 001; Sebastian Ramos; Antonio M. López 001; Daniel Ponsa (CVPR Workshops, 2013)

Random Forests of Local Experts for Pedestrian Detection. - Javier Marín; David Vázquez 001; Antonio M. López 001; Jaume Amores; Bastian Leibe (ICCV, 2013)

Learning a multiview part-based model in virtual world for pedestrian detection. - Jiaolong Xu; David Vázquez 001; Antonio M. López 001; Javier Marín; Daniel Ponsa (Intelligent Vehicles Symposium, 2013)

Interactive Training of Human Detectors. - David Vázquez 001; Antonio M. López 001; Daniel Ponsa; David Gerónimo (Multimodal Interaction in Image and Video Applications, 2013)

Incremental Domain Adaptation of Deformable Part-based Models. - Jiaolong Xu; Sebastian Ramos; David Vázquez 001; Antonio M. López 001 (BMVC, 2014)

Cost-Sensitive Structured SVM for Multi-category Domain Adaptation. - Jiaolong Xu; Sebastian Ramos; David Vázquez 001; Antonio Manuel López Peña (ICPR, 2014)

Virtual and Real World Adaptationfor Pedestrian Detection. - David Vázquez 001; Antonio Manuel López Peña; Javier Marín; Daniel Ponsa; David Gerónimo Gómez (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Domain Adaptation of Deformable Part-Based Models. - Jiaolong Xu; Sebastian Ramos; David Vázquez 001; Antonio Manuel López Peña (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Occlusion Handling via Random Subspace Classifiers for Human Detection. - Javier Marín; David Vázquez 001; Antonio M. López 001; Jaume Amores; Ludmila I. Kuncheva (IEEE Trans. Cybern., 2014)

Learning a Part-Based Pedestrian Detector in a Virtual World. - Jiaolong Xu; David Vázquez 001; Antonio Manuel López Peña; Javier Marín; Daniel Ponsa (IEEE Trans. Intell. Transp. Syst., 2014)

Spatiotemporal Stacked Sequential Learning for Pedestrian Detection. - Alejandro González; David Vázquez 001; Sebastian Ramos; Antonio M. López 001; Jaume Amores (IbPRIA, 2015)

3D-Guided Multiscale Sliding Window for Pedestrian Detection. - Alejandro González; Gabriel Villalonga; Germán Ros; David Vázquez 001; Antonio M. López 001 (IbPRIA, 2015)

Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection. - Alejandro González; Gabriel Villalonga; Jiaolong Xu; David Vázquez 001; Jaume Amores; Antonio M. López 001 (Intelligent Vehicles Symposium, 2015)

Vision-Based Offline-Online Perception Paradigm for Autonomous Driving. - Germán Ros; Sebastian Ramos; Manuel Granados; Amir Bakhtiary; David Vázquez 001; Antonio Manuel López Peña (WACV, 2015)

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes. - Germán Ros; Laura Sellart; Joanna Materzynska; David Vázquez 001; Antonio M. López 001 (CVPR, 2016)

GPU-based Pedestrian Detection for Autonomous Driving. - Victor Campmany; Sergio Silva; Antonio Espinosa 001; Juan Carlos Moure; David Vázquez 001; Antonio M. López 001 (ICCS, 2016)

Embedded Real-time Stereo Estimation via Semi-Global Matching on the GPU. - Daniel Hernández Juárez; Alejandro Chacón; Antonio Espinosa 001; David Vázquez 001; Juan Carlos Moure; Antonio M. López 001 (ICCS, 2016)

Hierarchical online domain adaptation of deformable part-based models. - Jiaolong Xu; David Vázquez 001; Krystian Mikolajczyk; Antonio M. López 001 (ICRA, 2016)

Comparison of two non-linear model-based control strategies for autonomous vehicles. - Eugenio Alcalá; Laura Sellart; Vicenç Puig; Joseba Quevedo; Jordi Saludes 001; David Vázquez 001; Antonio M. López 001 (MED, 2016)

From Virtual to Real World Visual Perception using Domain Adaptation - The DPM as Example. - Antonio M. López 001; Jiaolong Xu; Jose Luis Gómez; David Vázquez 001; Germán Ros (CoRR, 2016)

Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest. - Azadeh Sadat Mozafari; David Vázquez 001; Mansour Jamzad; Antonio M. López 001 (CoRR, 2016)

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. - David Vázquez 001; Jorge Bernal; Francisco Javier Sánchez; Gloria Fernández-Esparrach; Antonio M. López 001; Adriana Romero; Michal Drozdzal; Aaron C. Courville (CoRR, 2016)

Hierarchical Adaptive Structural SVM for Domain Adaptation. - Jiaolong Xu; Sebastian Ramos; David Vázquez 001; Antonio M. López 001 (Int. J. Comput. Vis., 2016)

Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison. - Alejandro González; Zhijie Fang; Yainuvis Socarrás Salas; Joan Serrat 002; David Vázquez 001; Jiaolong Xu; Antonio M. López 001 (Sensors, 2016)

Slanted Stixels: Representing San Francisco's Steepest Streets. - Daniel Hernández Juárez; Lukas Schneider; Antonio Espinosa 001; Juan C. Moure; David Vázquez 001; Antonio M. López 001; Uwe Franke; Marc Pollefeys (BMVC, 2017)

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. - Simon Jégou; Michal Drozdzal; David Vázquez 001; Adriana Romero; Yoshua Bengio (CVPR Workshops, 2017)

PixelVAE: A Latent Variable Model for Natural Images. - Ishaan Gulrajani; Kundan Kumar; Faruk Ahmed; Adrien Ali Taïga; Francesco Visin; David Vázquez 001; Aaron C. Courville (ICLR (Poster), 2017)

GPU-Accelerated Real-Time Stixel Computation. - Daniel Hernández Juárez; Antonio Espinosa 001; Juan C. Moure; David Vázquez 001; Antonio Manuel López Peña (WACV, 2017)

Training my car to see using virtual worlds. - Antonio M. López 001; Gabriel Villalonga; Laura Sellart; Germán Ros; David Vázquez 001; Jiaolong Xu; Javier Marín; Azadeh Sadat Mozafari (Image Vis. Comput., 2017)

On-Board Detection of Pedestrian Intentions. - Zhijie Fang; David Vázquez 001; Antonio M. López 001 (Sensors, 2017)

On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts. - Alejandro González; David Vázquez 001; Antonio M. López 001; Jaume Amores (IEEE Trans. Cybern., 2017)

From Virtual to Real World Visual Perception Using Domain Adaptation - The DPM as Example. - Antonio M. López 001; Jiaolong Xu; Jose Luis Gómez; David Vázquez 001; Germán Ros (Domain Adaptation in Computer Vision Applications, 2017)

Semantic Segmentation of Urban Scenes via Domain Adaptation of SYNTHIA. - Germán Ros; Laura Sellart; Gabriel Villalonga; Elias Maidanik; Francisco Molero; Marc Garcia; Adriana Cedeño; Francisco Perez; Didier Ramirez; Eduardo Escobar; Jose Luis Gómez; David Vázquez 001; et al. (Domain Adaptation in Computer Vision Applications, 2017)

Where Are the Blobs: Counting by Localization with Point Supervision. - Issam H. Laradji; Negar Rostamzadeh; Pedro O. Pinheiro; David Vázquez 001; Mark Schmidt 001 (ECCV (2), 2018)

Where are the Masks: Instance Segmentation with Image-level Supervision. - Issam H. Laradji; David Vázquez 001; Mark Schmidt 001 (BMVC, 2019)

Context-Aware Visual Compatibility Prediction. - Guillem Cucurull; Perouz Taslakian; David Vázquez 001 (CVPR, 2019)

Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation. - Lironne Kurzman; David Vázquez 001; Issam H. Laradji (ICCV Workshops, 2019)

Fourier-CPPNs for Image Synthesis. - Mattie Tesfaldet; Xavier Snelgrove; David Vázquez 001 (ICCV Workshops, 2019)

Learning to Remove Rain in Traffic Surveillance by using Synthetic Data. - Chris H. Bahnsen; David Vázquez 001; Antonio M. López 001; Thomas B. Moeslund (VISIGRAPP (4: VISAPP), 2019)

Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations. - Bahare Fatemi; Perouz Taslakian; David Vázquez 001; David Poole 001 (CoRR, 2019)

Instance Segmentation with Point Supervision. - Issam H. Laradji; Negar Rostamzadeh; Pedro O. Pinheiro; David Vázquez 001; Mark Schmidt 001 (CoRR, 2019)

Adversarial Learning of General Transformations for Data Augmentation. - Saypraseuth Mounsaveng; David Vázquez 001; Ismail Ben Ayed; Marco Pedersoli (CoRR, 2019)

Slanted Stixels: A Way to Represent Steep Streets. - Daniel Hernández Juárez; Lukas Schneider; Pau Cebrian; Antonio Espinosa 001; David Vázquez 001; Antonio M. López 001; Uwe Franke; Marc Pollefeys; Juan C. Moure (Int. J. Comput. Vis., 2019)

Looc: Localize Overlapping Objects with Count Supervision. - Issam H. Laradji; Rafael Pardinas; Pau Rodríguez; David Vázquez 001 (ICIP, 2020)

Proposal-Based Instance Segmentation With Point Supervision. - Issam H. Laradji; Negar Rostamzadeh; Pedro O. Pinheiro; David Vázquez 001; Mark Schmidt 001 (ICIP, 2020)

Knowledge Hypergraphs: Prediction Beyond Binary Relations. - Bahare Fatemi; Perouz Taslakian; David Vázquez 001; David Poole 001 (IJCAI, 2020)

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. - Massimo Caccia; Pau Rodríguez; Oleksiy Ostapenko; Fabrice Normandin; Min Lin; Lucas Page-Caccia; Issam Hadj Laradji; Irina Rish; Alexandre Lacoste; David Vázquez 001; 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; Matt Craddock; Laurent Charlin; David Vázquez 001 (NeurIPS, 2020)

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. - Massimo Caccia; Pau Rodríguez; Oleksiy Ostapenko; Fabrice Normandin; Min Lin; Lucas Caccia; Issam H. Laradji; Irina Rish; Alexandre Lacoste; David Vázquez 001; Laurent Charlin (CoRR, 2020)

A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. - Issam H. Laradji; Pau Rodríguez; Frederic Branchaud-Charron; Keegan Lensink; Parmida Atighehchian; William Parker; David Vázquez 001; Derek Nowrouzezahrai (CoRR, 2020)

A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis. - Alzayat Saleh; Issam H. Laradji; Dmitry A. Konovalov; Michael Bradley; David Vázquez 001; Marcus Sheaves (CoRR, 2020)

Affinity LCFCN: Learning to Segment Fish with Weak Supervision. - Issam H. Laradji; Alzayat Saleh; Pau Rodríguez; Derek Nowrouzezahrai; Mostafa Rahimi Azghadi; David Vázquez 001 (CoRR, 2020)

Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. - Issam H. Laradji; Pau Rodríguez; Freddie Kalaitzis; David Vázquez 001; Ross Young; Ed Davey; Alexandre Lacoste (CoRR, 2020)

Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation. - Sai Rajeswar; Fahim Mannan; Florian Golemo; Jérôme Parent-Lévesque; David Vázquez 001; Derek Nowrouzezahrai; Aaron C. Courville (Int. J. Comput. Vis., 2020)

Generating virtual images for promoting visual artificial intelligence. - Kunfeng Wang; Fei-Yue Wang 001; Visvanathan Ramesh; Ashish Shrivastava 001; David Vázquez 001; Fuxin Li (Neurocomputing, 2020)

Haptics-based Curiosity for Sparse-reward Tasks. - Sai Rajeswar; Cyril Ibrahim; Nitin Surya; Florian Golemo; David Vázquez 001; Aaron C. Courville; Pedro O. Pinheiro (CoRL, 2021)

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. - Oscar Mañas; Alexandre Lacoste; Xavier Giró-i-Nieto; David Vázquez 001; Pau Rodríguez (ICCV, 2021)

Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. - Pau Rodríguez; Massimo Caccia; Alexandre Lacoste; Lee Zamparo; Issam H. Laradji; Laurent Charlin; David Vázquez 001 (ICCV, 2021)

SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. - Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai (ICCVW, 2021)

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. - Issam H. Laradji; Pau Rodríguez; Oscar Mañas; Keegan Lensink; Marco Law; Lironne Kurzman; William Parker; David Vázquez 001; Derek Nowrouzezahrai (WACV, 2021)

Learning Data Augmentation with Online Bilevel Optimization for Image Classification. - Saypraseuth Mounsaveng; Issam H. Laradji; Ismail Ben Ayed; David Vázquez 001; Marco Pedersoli (WACV, 2021)

Touch-based Curiosity for Sparse-Reward Tasks. - Sai Rajeswar; Cyril Ibrahim; Nitin Surya; Florian Golemo; David Vázquez 001; Aaron C. Courville; Pedro O. Pinheiro (CoRR, 2021)

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. - Alexandre Lacoste; Evan David Sherwin; Hannah Kerner; Hamed Alemohammad; Björn Lütjens; Jeremy Irvin; David Dao; Alex Chang; Mehmet Gunturkun; Alexandre Drouin; Pau Rodríguez; David Vázquez 001 (CoRR, 2021)

A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. - Alzayat Saleh; Issam H. Laradji; Corey Lammie; David Vázquez 001; Carol A. Flavell; Mostafa Rahimi Azghadi (IEEE J. Biomed. Health Informatics, 2021)

3D Perception With Slanted Stixels on GPU. - Daniel Hernández Juárez; Antonio Espinosa 001; David Vázquez 001; Antonio M. López 001; Juan C. Moure (IEEE Trans. Parallel Distributed Syst., 2021)

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. - Gaurav Sahu; Pau Rodríguez; Issam H. Laradji; Parmida Atighehchian; David Vázquez 001; Dzmitry Bahdanau (ConvAI@ACL, 2022)

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. - Sai Rajeswar; Issam Hadj Laradji; Pau Rodríguez; David Vázquez 001; Aaron C. Courville (BMVC, 2022)

Overcoming challenges in leveraging GANs for few-shot data augmentation. - Christopher Beckham; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai; Christopher Pal (CoLLAs, 2022)

Multi-label Iterated Learning for Image Classification with Label Ambiguity. - Sai Rajeswar; Pau Rodríguez; Soumye Singhal; David Vázquez 001; Aaron C. Courville (CVPR, 2022)

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. - Vincenzo Lomonaco; Lorenzo Pellegrini; Pau Rodríguez; Massimo Caccia; Qi She; Yu Chen; Quentin Jodelet; Ruiping Wang 001; Zheda Mai; David Vázquez 001; German Ignacio Parisi; Nikhil Churamani; et al. (Artif. Intell., 2022)

Challenges in leveraging GANs for few-shot data augmentation. - Christopher Beckham; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai; Christopher J. Pal (CoRR, 2022)

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. - Charles Guille-Escuret; Pau Rodríguez; David Vázquez 001; Ioannis Mitliagkas; João Monteiro 002 (CoRR, 2022)

Using Graph Algorithms to Pretrain Graph Completion Transformers. - Jonathan Pilault; Michael Galkin; Bahare Fatemi; Perouz Taslakian; David Vázquez 001; Christopher Pal (CoRR, 2022)

Implicit Offline Reinforcement Learning via Supervised Learning. - Alexandre Piché; Rafael Pardinas; David Vázquez 001; Igor Mordatch; Chris Pal (CoRR, 2022)

Flaky Performances when Pretraining on Relational Databases. - Shengchao Liu; David Vázquez 001; Jian Tang 005; Pierre-André Noël (CoRR, 2022)

Towards good validation metrics for generative models in offline model-based optimisation. - Christopher Beckham; Alexandre Piché; David Vázquez 001; Christopher Pal (CoRR, 2022)

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. - Lorenzo Pellegrini; Chenchen Zhu; Fanyi Xiao; Zhicheng Yan 001; Antonio Carta; Matthias De Lange; Vincenzo Lomonaco; Roshan Sumbaly; Pau Rodríguez; David Vázquez 001 (CoRR, 2022)

Flaky Performances When Pretraining on Relational Databases (Student Abstract). - Shengchao Liu; David Vázquez 001; Jian Tang 005; Pierre-André Noël (AAAI, 2023)

Constraining Representations Yields Models That Know What They Don't Know. - João Monteiro 002; Pau Rodríguez; Pierre-André Noël; Issam H. Laradji; David Vázquez 001 (ICLR, 2023)

FigGen: Text to Scientific Figure Generation. - Juan A. Rodríguez; David Vázquez 001; Issam H. Laradji; Marco Pedersoli; Pau Rodríguez (Tiny Papers @ ICLR, 2023)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. - Charles Guille-Escuret; Pau Rodríguez; David Vázquez 001; Ioannis Mitliagkas; João Monteiro 002 (NeurIPS, 2023)

GEO-Bench: Toward Foundation Models for Earth Monitoring. - Alexandre Lacoste; Nils Lehmann; Pau Rodríguez; Evan D. Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; et al. (NeurIPS, 2023)

Group Robust Classification Without Any Group Information. - Christos Tsirigotis; João Monteiro 002; Pau Rodríguez; David Vázquez 001; Aaron C. Courville (NeurIPS, 2023)

OCR-VQGAN: Taming Text-within-Image Generation. - Juan A. Rodríguez; David Vázquez 001; Issam H. Laradji; Marco Pedersoli; Pau Rodríguez (WACV, 2023)

Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. - Nicolas Gontier; Pau Rodríguez; Issam H. Laradji; David Vázquez 001; Christopher Pal (CoRR, 2023)

Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans. - Stefania Raimondo; Christopher Pal; Xiaotian Liu; David Vázquez 001; Héctor Palacios (CoRR, 2023)

Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. - Saypraseuth Mounsaveng; Issam H. Laradji; David Vázquez 001; Marco Pedersoli; Ismail Ben Ayed (CoRR, 2023)

OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. - Rim Assouel; Pau Rodríguez; Perouz Taslakian; David Vázquez 001; Yoshua Bengio (CoRR, 2023)

StarVector: Generating Scalable Vector Graphics Code from Images. - Juan A. Rodríguez; Shubham Agarwal; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Christopher Pal; Marco Pedersoli (CoRR, 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 Vázquez 001; Christopher Pal; Alexandre Drouin (CoRR, 2023)

Knowledge Hypergraph Embedding Meets Relational Algebra. - Bahare Fatemi; Perouz Taslakian; David Vázquez 001; David Poole 001 (J. Mach. Learn. Res., 2023)

Workflow Discovery from Dialogues in the Low Data Regime. - Amine El Hattami; Issam H. Laradji; Stefania Raimondo; David Vázquez 001; Pau Rodríguez; Christopher Pal (Trans. Mach. Learn. Res., 2023)

A Survey of Self-Supervised and Few-Shot Object Detection. - Gabriel Huang; Issam H. Laradji; David Vázquez 001; Simon Lacoste-Julien; Pau Rodríguez (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. - João Monteiro 002; Étienne Marcotte; Pierre-André Noël; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Christopher Pal; Perouz Taslakian (EMNLP (Findings), 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 Vázquez 001; Nicolas Chapados; Alexandre Lacoste (ICML, 2024)

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. - João Monteiro 002; Pierre-André Noël; Étienne Marcotte; Sai Rajeswar Mudumba; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Chris Pal; Perouz Taslakian (NeurIPS, 2024)

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. - Charles Guille-Escuret; Pierre-André Noël; Ioannis Mitliagkas; David Vázquez 001; João Monteiro 002 (NeurIPS, 2024)

InCoRo: In-Context Learning for Robotics Control with Feedback Loops. - Jiaqiang Ye Zhu; Carla Gomez Cano; David Vázquez Bermudez; Michal Drozdzal (CoRR, 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 Vázquez 001; Nicolas Chapados; Alexandre Lacoste (CoRR, 2024)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; Sai Rajeswar; Issam Hadj Laradji (CoRR, 2024)

IntentGPT: Few-shot Intent Discovery with Large Language Models. - Juan A. Rodríguez; Nicholas Botzer; David Vázquez 001; Christopher Pal; Marco Pedersoli; Issam H. Laradji (CoRR, 2024)

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. - 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; et al. (CoRR, 2024)

Exploring validation metrics for offline model-based optimisation with diffusion models. - Christopher Beckham; Alexandre Piché; David Vázquez 001; Christopher Pal (Trans. Mach. Learn. Res., 2024)

StarVector: Generating Scalable Vector Graphics Code from Images and Text. - Juan A. Rodríguez; Abhay Puri; Shubham Agarwal; Issam H. Laradji; Sai Rajeswar; David Vázquez 001; 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; Pau Rodríguez; Sai Rajeswar; David Vázquez 001; Christopher Pal; Marco Pedersoli (CVPR, 2025)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Amirhossein Abaskohi; Mohammad Chegini; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; et al. (ICLR, 2025)

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. - 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; et al. (CoRR, 2025)

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. - Shravan Nayak; Xiangru Jian; Kevin Qinghong Lin; Juan A. Rodríguez; Montek Kalsi; Rabiul Awal; Nicolas Chapados; M. Tamer Özsu; Aishwarya Agrawal; David Vázquez 001; Christopher Pal; Perouz Taslakian; et al. (CoRR, 2025)

StarFlow: Generating Structured Workflow Outputs From Sketch Images. - Patrice Bechard; Chao Wang; Amirhossein Abaskohi; Juan A. Rodríguez; Christopher Pal; David Vázquez 001; Spandana Gella; Sai Rajeswar; Perouz Taslakian (CoRR, 2025)

AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery. - Amirhossein Abaskohi; Amrutha Varshini Ramesh; Shailesh Nanisetty; Chirag Goel; David Vázquez 001; Christopher Pal; Spandana Gella; Giuseppe Carenini; Issam H. Laradji (CoRR, 2025)

Distilling semantically aware orders for autoregressive image generation. - Rishav Pramanik; Antoine Poupon; Juan A. Rodríguez; Masih Aminbeidokhti; David Vázquez 001; Christopher Pal; Zhaozheng Yin; Marco Pedersoli (CoRR, 2025)

Rendering-Aware Reinforcement Learning for Vector Graphics Generation. - 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; et al. (CoRR, 2025)

BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. - Ahmed Masry; Abhay Puri; Masoud Hashemi; Juan A. Rodríguez; Megh Thakkar; Khyati Mahajan; Vikas Yadav; Sathwik Tejaswi Madhusudhan; Alexandre Piché; Dzmitry Bahdanau; Christopher Pal; David Vázquez 001; et al. (CoRR, 2025)