David Vzquez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
19
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | StarFlow: Generating Structured Workflow Outputs From Sketch Images. | Patrice Bchard, Chao Wang, Amirhossein Abaskohi, Juan A. Rodrguez, Christopher Pal, David Vzquez, Spandana Gella, Sai Rajeswar, Perouz Taslakian |
| 2025 | AAAI | StarVector: Generating Scalable Vector Graphics Code from Images and Text. | Juan A. Rodrguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vzquez, Christopher Pal, Marco Pedersoli |
| 2025 | CVPR | StarVector: Generating Scalable Vector Graphics Code from Images and Text. | Juan A. Rodrguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodrguez, Sai Rajeswar, David Vzquez, Christopher Pal, Marco Pedersoli |
| 2025 | EMNLP | WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation. | Rabiul Awal, Mahsa Massoud, Aarash Feizi, Zichao Li, Suyuchen Wang, Christopher Pal, Aishwarya Agrawal, David Vzquez, Siva Reddy, Juan A. Rodrguez, Perouz Taslakian, Spandana Gella, Sai Rajeswar |
| 2025 | ICLR | InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. | Gaurav Sahu, Abhay Puri, Juan A. Rodrguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vzquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji |
| 2025 | ICML | UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. | Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodrguez, Montek Kalsi, Nicolas Chapados, M. Tamer zsu, Aishwarya Agrawal, David Vzquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar |
| 2024 | EMNLP | XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. | Joo Monteiro, tienne Marcotte, Pierre-Andr Nol, Valentina Zantedeschi, David Vzquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian |
| 2024 | ICML | 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 Vzquez, Nicolas Chapados, Alexandre Lacoste |
| 2023 | AAAI | Flaky Performances When Pretraining on Relational Databases (Student Abstract). | Shengchao Liu, David Vzquez, Jian Tang, Pierre-Andr Nol |
| 2023 | ICLR | Constraining Representations Yields Models That Know What They Don't Know. | Joo Monteiro, Pau Rodrguez, Pierre-Andr Nol, Issam H. Laradji, David Vzquez |
| 2023 | ICLR | FigGen: Text to Scientific Figure Generation. | Juan A. Rodrguez, David Vzquez, Issam H. Laradji, Marco Pedersoli, Pau Rodrguez |
| 2023 | WACV | OCR-VQGAN: Taming Text-within-Image Generation. | Juan A. Rodrguez, David Vzquez, Issam H. Laradji, Marco Pedersoli, Pau Rodrguez |
| 2022 | BMVC | Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. | Sai Rajeswar, Issam Hadj Laradji, Pau Rodrguez, David Vzquez, Aaron C. Courville |
| 2022 | CVPR | Multi-label Iterated Learning for Image Classification with Label Ambiguity. | Sai Rajeswar, Pau Rodrguez, Soumye Singhal, David Vzquez, Aaron C. Courville |
| 2021 | CoRL | Haptics-based Curiosity for Sparse-reward Tasks. | Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vzquez, Aaron C. Courville, Pedro O. Pinheiro |
| 2021 | ICCV | Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. | Oscar Maas, Alexandre Lacoste, Xavier Gir-i-Nieto, David Vzquez, Pau Rodrguez |
| 2021 | ICCV | Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. | Pau Rodrguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vzquez |
| 2021 | WACV | A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. | Issam H. Laradji, Pau Rodrguez, Oscar Maas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vzquez, Derek Nowrouzezahrai |
| 2021 | WACV | Learning Data Augmentation with Online Bilevel Optimization for Image Classification. | Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vzquez, Marco Pedersoli |
| 2020 | ICIP | Looc: Localize Overlapping Objects with Count Supervision. | Issam H. Laradji, Rafael Pardinas, Pau Rodrguez, David Vzquez |
| 2020 | ICIP | Proposal-Based Instance Segmentation With Point Supervision. | Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vzquez, Mark Schmidt |
| 2020 | IJCAI | Knowledge Hypergraphs: Prediction Beyond Binary Relations. | Bahare Fatemi, Perouz Taslakian, David Vzquez, David Poole |
| 2019 | BMVC | Where are the Masks: Instance Segmentation with Image-level Supervision. | Issam H. Laradji, David Vzquez, Mark Schmidt |
| 2019 | CVPR | Context-Aware Visual Compatibility Prediction. | Guillem Cucurull, Perouz Taslakian, David Vzquez |
| 2018 | ECCV | Where Are the Blobs: Counting by Localization with Point Supervision. | Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vzquez, Mark Schmidt |
| 2017 | BMVC | Slanted Stixels: Representing San Francisco's Steepest Streets. | Daniel Hernndez Jurez, Lukas Schneider, Antonio Espinosa, Juan C. Moure, David Vzquez, Antonio M. Lpez, Uwe Franke, Marc Pollefeys |
| 2017 | CVPR | The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. | Simon Jgou, Michal Drozdzal, David Vzquez, Adriana Romero, Yoshua Bengio |
| 2017 | ICLR | PixelVAE: A Latent Variable Model for Natural Images. | Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taga, Francesco Visin, David Vzquez, Aaron C. Courville |
| 2017 | WACV | GPU-Accelerated Real-Time Stixel Computation. | Daniel Hernndez Jurez, Antonio Espinosa, Juan C. Moure, David Vzquez, Antonio Manuel Lpez Pea |
| 2016 | CVPR | The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes. | Germn Ros, Laura Sellart, Joanna Materzynska, David Vzquez, Antonio M. Lpez |
| 2016 | ICCS | GPU-based Pedestrian Detection for Autonomous Driving. | Victor Campmany, Sergio Silva, Antonio Espinosa, Juan Carlos Moure, David Vzquez, Antonio M. Lpez |
| 2016 | ICCS | Embedded Real-time Stereo Estimation via Semi-Global Matching on the GPU. | Daniel Hernndez Jurez, Alejandro Chacn, Antonio Espinosa, David Vzquez, Juan Carlos Moure, Antonio M. Lpez |
| 2016 | ICRA | Hierarchical online domain adaptation of deformable part-based models. | Jiaolong Xu, David Vzquez, Krystian Mikolajczyk, Antonio M. Lpez |
| 2015 | IBPRIA | Spatiotemporal Stacked Sequential Learning for Pedestrian Detection. | Alejandro Gonzlez, David Vzquez, Sebastian Ramos, Antonio M. Lpez, Jaume Amores |
| 2015 | IBPRIA | 3D-Guided Multiscale Sliding Window for Pedestrian Detection. | Alejandro Gonzlez, Gabriel Villalonga, Germn Ros, David Vzquez, Antonio M. Lpez |
| 2015 | WACV | Vision-Based Offline-Online Perception Paradigm for Autonomous Driving. | Germn Ros, Sebastian Ramos, Manuel Granados, Amir Bakhtiary, David Vzquez, Antonio Manuel Lpez Pea |
| 2014 | BMVC | Incremental Domain Adaptation of Deformable Part-based Models. | Jiaolong Xu, Sebastian Ramos, David Vzquez, Antonio M. Lpez |
| 2014 | ICPR | Cost-Sensitive Structured SVM for Multi-category Domain Adaptation. | Jiaolong Xu, Sebastian Ramos, David Vzquez, Antonio Manuel Lpez Pea |
| 2013 | CVPR | Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes. | David Vzquez, Jiaolong Xu, Sebastian Ramos, Antonio M. Lpez, Daniel Ponsa |
| 2013 | CVPR | Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers. | Jiaolong Xu, David Vzquez, Sebastian Ramos, Antonio M. Lpez, Daniel Ponsa |
| 2013 | ICCV | Random Forests of Local Experts for Pedestrian Detection. | Javier Marn, David Vzquez, Antonio M. Lpez, Jaume Amores, Bastian Leibe |
| 2012 | ICPR | Unsupervised domain adaptation of virtual and real worlds for pedestrian detection. | David Vzquez, Antonio M. Lpez, Daniel Ponsa |
| 2011 | CAIP | Color Contribution to Part-Based Person Detection in Different Types of Scenarios. | Rao Muhammad Anwer, David Vzquez, Antonio M. Lpez |
| 2011 | IBPRIA | Opponent Colors for Human Detection. | Rao Muhammad Anwer, David Vzquez, Antonio M. Lpez |
| 2011 | ICMI | Virtual worlds and active learning for human detection. | David Vzquez, Antonio M. Lpez, Daniel Ponsa, Javier Marn |
| 2010 | CVPR | Learning appearance in virtual scenarios for pedestrian detection. | Javier Marn, David Vzquez, David Gernimo, Antonio M. Lpez |