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David Vázquez 0001

David Vázquez Bermudez

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affiliation: Element AI, Montral, Canada

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2024
[j19]
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Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal:
Exploring validation metrics for offline model-based optimisation with diffusion models. Trans. Mach. Learn. Res. 2024 (2024)
2023
[j18]
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Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraph Embedding Meets Relational Algebra. J. Mach. Learn. Res. 24: 105:1-105:34 (2023)
[j17]
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Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez:
A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4071-4089 (2023)
[j16]
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Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vázquez, Pau Rodríguez, Christopher Pal:
Workflow Discovery from Dialogues in the Low Data Regime. Trans. Mach. Learn. Res. 2023 (2023)
2022
[j15]
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Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni:
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303: 103635 (2022)
2021
[j14]
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Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi:
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. IEEE J. Biomed. Health Informatics 25(10): 3865-3873 (2021)
[j13]
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Daniel Hernández Juárez, Antonio Espinosa, David Vázquez, Antonio M. López, Juan C. Moure:
3D Perception With Slanted Stixels on GPU. IEEE Trans. Parallel Distributed Syst. 32(10): 2434-2447 (2021)
2020
[j12]
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Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai, Aaron C. Courville:
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation. Int. J. Comput. Vis. 128(10): 2478-2493 (2020)
[j11]
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Kunfeng Wang, Fei-Yue Wang, Visvanathan Ramesh, Ashish Shrivastava, David Vázquez, Fuxin Li:
Generating virtual images for promoting visual artificial intelligence. Neurocomputing 394: 112-113 (2020)
2019
[j10]
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Daniel Hernández Juárez, Lukas Schneider, Pau Cebrian, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure:
Slanted Stixels: A Way to Represent Steep Streets. Int. J. Comput. Vis. 127(11-12): 1643-1658 (2019)
2017
[j9]
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Antonio M. López, Gabriel Villalonga, Laura Sellart, Germán Ros, David Vázquez, Jiaolong Xu, Javier Marín, Azadeh Sadat Mozafari:
Training my car to see using virtual worlds. Image Vis. Comput. 68: 102-118 (2017)
[j8]
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Zhijie Fang, David Vázquez, Antonio M. López:
On-Board Detection of Pedestrian Intentions. Sensors 17(10): 2193 (2017)
[j7]
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Alejandro González, David Vázquez, Antonio M. López, Jaume Amores:
On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts. IEEE Trans. Cybern. 47(11): 3980-3990 (2017)
2016
[j6]
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Jiaolong Xu, Sebastian Ramos, David Vázquez, Antonio M. López:
Hierarchical Adaptive Structural SVM for Domain Adaptation. Int. J. Comput. Vis. 119(2): 159-178 (2016)
[j5]
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Alejandro González, Zhijie Fang, Yainuvis Socarrás Salas, Joan Serrat, David Vázquez, Jiaolong Xu, Antonio M. López:
Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison. Sensors 16(6): 820 (2016)
2014
[j4]
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David Vázquez, Antonio Manuel López Peña, Javier Marín, Daniel Ponsa, David Gerónimo Gómez:
Virtual and Real World Adaptationfor Pedestrian Detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 797-809 (2014)
[j3]
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Jiaolong Xu, Sebastian Ramos, David Vázquez, Antonio Manuel López Peña:
Domain Adaptation of Deformable Part-Based Models. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2367-2380 (2014)
[j2]
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Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Ludmila I. Kuncheva:
Occlusion Handling via Random Subspace Classifiers for Human Detection. IEEE Trans. Cybern. 44(3): 342-354 (2014)
[j1]
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Jiaolong Xu, David Vázquez, Antonio Manuel López Peña, Javier Marín, Daniel Ponsa:
Learning a Part-Based Pedestrian Detector in a Virtual World. IEEE Trans. Intell. Transp. Syst. 15(5): 2121-2131 (2014)

Conference and Workshop Papers

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2024
[c55]
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  - conf/emnlp/0002MNZ0CPT24
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João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. EMNLP (Findings) 2024: 15284-15302
[c54]
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  - conf/icml/DrouinGCLVM0CL24
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Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste:
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? ICML 2024
2023
[c53]
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  - conf/aaai/Liu00N23
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Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël:
Flaky Performances When Pretraining on Relational Databases (Student Abstract). AAAI 2023: 16266-16267
[c52]
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  - conf/iclr/MonteiroRNL023
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João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez:
Constraining Representations Yields Models That Know What They Don't Know. ICLR 2023
[c51]
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  - conf/iclr/RodriguezVLPR23
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Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR 2023
[c50]
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Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro:
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. NeurIPS 2023
[c49]
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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, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu:
GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS 2023
[c48]
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Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Group Robust Classification Without Any Group Information. NeurIPS 2023
[c47]
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Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
OCR-VQGAN: Taming Text-within-Image Generation. WACV 2023: 3678-3687
2022
[c46]
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  - conf/acl-convai/SahuRLAVB22
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Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau:
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL 2022: 47-57
[c45]
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Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. BMVC 2022: 644
[c44]
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  - conf/collas/BeckhamLRVNP22
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Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher Pal:
Overcoming challenges in leveraging GANs for few-shot data augmentation. CoLLAs 2022: 255-280
[c43]
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Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville:
Multi-label Iterated Learning for Image Classification with Label Ambiguity. CVPR 2022: 4773-4783
2021
[c42]
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Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro:
Haptics-based Curiosity for Sparse-reward Tasks. CoRL 2021: 395-405
[c41]
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  - conf/iccv/RodriguezCLZLC021
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Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez:
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. ICCV 2021: 1036-1045
[c40]
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  - conf/iccv/ManasLG0R21
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Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez:
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. ICCV 2021: 9394-9403
[c39]
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Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai:
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. ICCVW 2021: 1427-1436
[c38]
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Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli:
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV 2021: 1690-1699
[c37]
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Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai:
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. WACV 2021: 2452-2461
2020
[c36]
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Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Proposal-Based Instance Segmentation With Point Supervision. ICIP 2020: 2126-2130
[c35]
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Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez:
Looc: Localize Overlapping Objects with Count Supervision. ICIP 2020: 2316-2320
[c34]
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  - conf/ijcai/FatemiTV020
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Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraphs: Prediction Beyond Binary Relations. IJCAI 2020: 2191-2197
[c33]
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  - conf/nips/CacciaRONLPLRLV20
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Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin:
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. NeurIPS 2020
[c32]
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  - conf/nips/LacosteLBACLDCC20
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Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez:
Synbols: Probing Learning Algorithms with Synthetic Datasets. NeurIPS 2020
2019
[c31]
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  - conf/bmvc/LaradjiVS19
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Issam H. Laradji, David Vázquez, Mark Schmidt:
Where are the Masks: Instance Segmentation with Image-level Supervision. BMVC 2019: 255
[c30]
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  - conf/cvpr/CucurullTV19
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Guillem Cucurull, Perouz Taslakian, David Vázquez:
Context-Aware Visual Compatibility Prediction. CVPR 2019: 12617-12626
[c29]
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Mattie Tesfaldet, Xavier Snelgrove, David Vázquez:
Fourier-CPPNs for Image Synthesis. ICCV Workshops 2019: 3173-3176
[c28]
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  - conf/iccvw/KurzmanVL19
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Lironne Kurzman, David Vázquez, Issam H. Laradji:
Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation. ICCV Workshops 2019: 3189-3192
[c27]
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  - conf/visapp/BahnsenVLM19
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Chris H. Bahnsen, David Vázquez, Antonio M. López, Thomas B. Moeslund:
Learning to Remove Rain in Traffic Surveillance by using Synthetic Data. VISIGRAPP (4: VISAPP) 2019: 123-130
2018
[c26]
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Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Where Are the Blobs: Counting by Localization with Point Supervision. ECCV (2) 2018: 560-576
2017
[c25]
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Daniel Hernández Juárez, Lukas Schneider, Antonio Espinosa, Juan C. Moure, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys:
Slanted Stixels: Representing San Francisco's Steepest Streets. BMVC 2017
[c24]
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Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio:
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CVPR Workshops 2017: 1175-1183
[c23]
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Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville:
PixelVAE: A Latent Variable Model for Natural Images. ICLR (Poster) 2017
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Daniel Hernández Juárez, Antonio Espinosa, Juan C. Moure, David Vázquez, Antonio Manuel López Peña:
GPU-Accelerated Real-Time Stixel Computation. WACV 2017: 1054-1062
2016
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Germán Ros, Laura Sellart, Joanna Materzynska, David Vázquez, Antonio M. López:
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes. CVPR 2016: 3234-3243
[c20]
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Daniel Hernández Juárez, Alejandro Chacón, Antonio Espinosa, David Vázquez, Juan Carlos Moure, Antonio M. López:
Embedded Real-time Stereo Estimation via Semi-Global Matching on the GPU. ICCS 2016: 143-153
[c19]
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Victor Campmany, Sergio Silva, Antonio Espinosa, Juan Carlos Moure, David Vázquez, Antonio M. López:
GPU-based Pedestrian Detection for Autonomous Driving. ICCS 2016: 2377-2381
[c18]
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Jiaolong Xu, David Vázquez, Krystian Mikolajczyk, Antonio M. López:
Hierarchical online domain adaptation of deformable part-based models. ICRA 2016: 5536-5541
[c17]
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Eugenio Alcalá, Laura Sellart, Vicenç Puig, Joseba Quevedo, Jordi Saludes, David Vázquez, Antonio M. López:
Comparison of two non-linear model-based control strategies for autonomous vehicles. MED 2016: 846-851
2015
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Alejandro González, David Vázquez, Sebastian Ramos, Antonio M. López, Jaume Amores:
Spatiotemporal Stacked Sequential Learning for Pedestrian Detection. IbPRIA 2015: 3-12
[c15]
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Alejandro González, Gabriel Villalonga, Germán Ros, David Vázquez, Antonio M. López:
3D-Guided Multiscale Sliding Window for Pedestrian Detection. IbPRIA 2015: 560-568
[c14]
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Alejandro González, Gabriel Villalonga, Jiaolong Xu, David Vázquez, Jaume Amores, Antonio M. López:
Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection. Intelligent Vehicles Symposium 2015: 356-361
[c13]
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Germán Ros, Sebastian Ramos, Manuel Granados, Amir Bakhtiary, David Vázquez, Antonio Manuel López Peña:
Vision-Based Offline-Online Perception Paradigm for Autonomous Driving. WACV 2015: 231-238
2014
[c12]
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Jiaolong Xu, Sebastian Ramos, David Vázquez, Antonio M. López:
Incremental Domain Adaptation of Deformable Part-based Models. BMVC 2014
[c11]
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Jiaolong Xu, Sebastian Ramos, David Vázquez, Antonio Manuel López Peña:
Cost-Sensitive Structured SVM for Multi-category Domain Adaptation. ICPR 2014: 3886-3891
2013
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Jiaolong Xu, David Vázquez, Sebastian Ramos, Antonio M. López, Daniel Ponsa:
Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers. CVPR Workshops 2013: 688-693
[c9]
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David Vázquez, Jiaolong Xu, Sebastian Ramos, Antonio M. López, Daniel Ponsa:
Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes. CVPR Workshops 2013: 706-711
[c8]
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Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Bastian Leibe:
Random Forests of Local Experts for Pedestrian Detection. ICCV 2013: 2592-2599
[c7]
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Jiaolong Xu, David Vázquez, Antonio M. López, Javier Marín, Daniel Ponsa:
Learning a multiview part-based model in virtual world for pedestrian detection. Intelligent Vehicles Symposium 2013: 467-472
2012
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Yainuvis Socarrás Salas, David Vázquez Bermudez, Antonio M. López Peña, David Gerónimo Gómez, Theo Gevers:
Improving HOG with Image Segmentation: Application to Human Detection. ACIVS 2012: 178-189
[c5]
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David Vázquez, Antonio M. López, Daniel Ponsa:
Unsupervised domain adaptation of virtual and real worlds for pedestrian detection. ICPR 2012: 3492-3495
2011
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Rao Muhammad Anwer, David Vázquez, Antonio M. López:
Color Contribution to Part-Based Person Detection in Different Types of Scenarios. CAIP (2) 2011: 463-470
[c3]
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Rao Muhammad Anwer, David Vázquez, Antonio M. López:
Opponent Colors for Human Detection. IbPRIA 2011: 363-370
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David Vázquez, Antonio M. López, Daniel Ponsa, Javier Marín:
Virtual worlds and active learning for human detection. ICMI 2011: 393-400
2010
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Javier Marín, David Vázquez, David Gerónimo, Antonio M. López:
Learning appearance in virtual scenarios for pedestrian detection. CVPR 2010: 137-144

Parts in Books or Collections

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What is the meaning of the colors in the publication lists?

2017
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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, Antonio M. López:
Semantic Segmentation of Urban Scenes via Domain Adaptation of SYNTHIA. Domain Adaptation in Computer Vision Applications 2017: 227-241
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Antonio M. López, Jiaolong Xu, Jose Luis Gómez, David Vázquez, Germán Ros:
From Virtual to Real World Visual Perception Using Domain Adaptation - The DPM as Example. Domain Adaptation in Computer Vision Applications 2017: 243-258
2013
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David Vázquez, Antonio M. López, Daniel Ponsa, David Gerónimo:
Interactive Training of Human Detectors. Multimodal Interaction in Image and Video Applications 2013: 169-184

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2024
[i67]
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Jiaqiang Ye Zhu, Carla Gomez Cano, David Vázquez Bermudez, Michal Drozdzal:
InCoRo: In-Context Learning for Robotics Control with Feedback Loops. CoRR abs/2402.05188 (2024)
[i66]
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  - journals/corr/abs-2403-07718
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Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vázquez, Nicolas Chapados, Alexandre Lacoste:
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR abs/2403.07718 (2024)
[i65]
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  - journals/corr/abs-2404-15420
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João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. CoRR abs/2404.15420 (2024)
[i64]
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  - journals/corr/abs-2406-11811
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João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian:
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR abs/2406.11811 (2024)
[i63]
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  - journals/corr/abs-2407-06423
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Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji:
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. CoRR abs/2407.06423 (2024)
2023
[i62]
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Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal:
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR abs/2302.05507 (2023)
[i61]
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  - journals/corr/abs-2306-00800
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Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. CoRR abs/2306.00800 (2023)
[i60]
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  - journals/corr/abs-2306-01729
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Stefania Raimondo, Christopher Pal, Xiaotian Liu, David Vázquez, Héctor Palacios:
Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans. CoRR abs/2306.01729 (2023)
[i59]
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  - journals/corr/abs-2306-03831
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Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu:
GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR abs/2306.03831 (2023)
[i58]
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  - journals/corr/abs-2307-11808
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Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed:
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR abs/2307.11808 (2023)
[i57]
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Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vázquez, João Monteiro:
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. CoRR abs/2308.11480 (2023)
[i56]
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Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Group Robust Classification Without Any Group Information. CoRR abs/2310.18555 (2023)
[i55]
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Rim Assouel, Pau Rodríguez, Perouz Taslakian, David Vázquez, Yoshua Bengio:
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. CoRR abs/2310.18807 (2023)
[i54]
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Juan A. Rodriguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli:
StarVector: Generating Scalable Vector Graphics Code from Images. CoRR abs/2312.11556 (2023)
[i53]
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Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin:
Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR abs/2312.13876 (2023)
2022
[i52]
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  - journals/corr/abs-2203-16662
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Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal:
Challenges in leveraging GANs for few-shot data augmentation. CoRR abs/2203.16662 (2022)
[i51]
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  - journals/corr/abs-2204-01959
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Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau:
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR abs/2204.01959 (2022)
[i50]
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  - journals/corr/abs-2205-11690
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Amine El Hattami, Stefania Raimondo, Issam H. Laradji, David Vázquez, Pau Rodríguez, Chris Pal:
Workflow Discovery from Dialogues in the Low Data Regime. CoRR abs/2205.11690 (2022)
[i49]
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  - journals/corr/abs-2208-14488
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João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez:
Constraining Representations Yields Models That Know What They Don't Know. CoRR abs/2208.14488 (2022)
[i48]
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Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro:
CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. CoRR abs/2210.01742 (2022)
[i47]
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Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vázquez, Christopher Pal:
Using Graph Algorithms to Pretrain Graph Completion Transformers. CoRR abs/2210.07453 (2022)
[i46]
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Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
OCR-VQGAN: Taming Text-within-Image Generation. CoRR abs/2210.11248 (2022)
[i45]
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Alexandre Piché, Rafael Pardinas, David Vázquez, Igor Mordatch, Chris Pal:
Implicit Offline Reinforcement Learning via Supervised Learning. CoRR abs/2210.12272 (2022)
[i44]
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Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël:
Flaky Performances when Pretraining on Relational Databases. CoRR abs/2211.05213 (2022)
[i43]
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  - journals/corr/abs-2211-10747
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Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal:
Towards good validation metrics for generative models in offline model-based optimisation. CoRR abs/2211.10747 (2022)
[i42]
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  - journals/corr/abs-2212-06833
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Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez:
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR abs/2212.06833 (2022)
2021
[i41]
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Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraph Embedding Meets Relational Algebra. CoRR abs/2102.09557 (2021)
[i40]
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  - journals/corr/abs-2103-10226
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Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez:
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. CoRR abs/2103.10226 (2021)
[i39]
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Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez:
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. CoRR abs/2103.16607 (2021)
[i38]
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Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro:
Touch-based Curiosity for Sparse-Reward Tasks. CoRR abs/2104.00442 (2021)
[i37]
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Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai:
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. CoRR abs/2108.09593 (2021)
[i36]
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  - journals/corr/abs-2109-14919
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Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi:
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. CoRR abs/2109.14919 (2021)
[i35]
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  - journals/corr/abs-2110-14711
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Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez:
A Survey of Self-Supervised and Few-Shot Object Detection. CoRR abs/2110.14711 (2021)
[i34]
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  - journals/corr/abs-2111-12172
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Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville:
Multi-label Iterated Learning for Image Classification with Label Ambiguity. CoRR abs/2111.12172 (2021)
[i33]
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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:
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. CoRR abs/2112.00570 (2021)
2020
[i32]
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  - journals/corr/abs-2003-05856
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Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin:
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. CoRR abs/2003.05856 (2020)
[i31]
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  - journals/corr/abs-2003-14166
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Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai, Aaron C. Courville:
Pix2Shape - Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation. CoRR abs/2003.14166 (2020)
[i30]
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  - journals/corr/abs-2006-14699
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Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli:
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. CoRR abs/2006.14699 (2020)
[i29]
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Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez:
LOOC: Localize Overlapping Objects with Count Supervision. CoRR abs/2007.01837 (2020)
[i28]
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Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai:
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. CoRR abs/2007.02180 (2020)
[i27]
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Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai:
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR abs/2007.07012 (2020)
[i26]
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Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov, Michael Bradley, David Vázquez, Marcus Sheaves:
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis. CoRR abs/2008.12603 (2020)
[i25]
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  - journals/corr/abs-2009-06415
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Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez:
Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR abs/2009.06415 (2020)
[i24]
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Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni:
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR abs/2009.09929 (2020)
[i23]
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Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vázquez:
Affinity LCFCN: Learning to Segment Fish with Weak Supervision. CoRR abs/2011.03149 (2020)
[i22]
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Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste:
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. CoRR abs/2011.07369 (2020)
2019
[i21]
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Guillem Cucurull, Perouz Taslakian, David Vázquez:
Context-Aware Visual Compatibility Prediction. CoRR abs/1902.03646 (2019)
[i20]
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  - journals/corr/abs-1906-00137
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Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations. CoRR abs/1906.00137 (2019)
[i19]
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Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Instance Segmentation with Point Supervision. CoRR abs/1906.06392 (2019)
[i18]
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Issam H. Laradji, David Vázquez, Mark Schmidt:
Where are the Masks: Instance Segmentation with Image-level Supervision. CoRR abs/1907.01430 (2019)
[i17]
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  - journals/corr/abs-1908-11525
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Lironne Kurzman, David Vázquez, Issam H. Laradji:
Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation. CoRR abs/1908.11525 (2019)
[i16]
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  - journals/corr/abs-1909-09273
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Mattie Tesfaldet, Xavier Snelgrove, David Vázquez:
Fourier-CPPNs for Image Synthesis. CoRR abs/1909.09273 (2019)
[i15]
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Saypraseuth Mounsaveng, David Vázquez, Ismail Ben Ayed, Marco Pedersoli:
Adversarial Learning of General Transformations for Data Augmentation. CoRR abs/1909.09801 (2019)
[i14]
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  - journals/corr/abs-1910-01466
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Daniel Hernández Juárez, Lukas Schneider, Pau Cebrian, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure:
Slanted Stixels: A way to represent steep streets. CoRR abs/1910.01466 (2019)
2018
[i13]
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Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Where are the Blobs: Counting by Localization with Point Supervision. CoRR abs/1807.09856 (2018)
2017
[i12]
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Daniel Hernández Juárez, Lukas Schneider, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure:
Slanted Stixels: Representing San Francisco's Steepest Streets. CoRR abs/1707.05397 (2017)
[i11]
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  - journals/corr/abs-1710-03457
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Eugenio Alcalá, Laura Sellart, Vicenç Puig, Joseba Quevedo, Jordi Saludes, David Vázquez, Antonio M. López:
Comparison of two non-linear model-based control strategies for autonomous vehicles. CoRR abs/1710.03457 (2017)
2016
[i10]
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Daniel Hernández Juárez, Alejandro Chacón, Antonio Espinosa, David Vázquez, Juan Carlos Moure, Antonio Manuel López Peña:
Embedded real-time stereo estimation via Semi-Global Matching on the GPU. CoRR abs/1610.04121 (2016)
[i9]
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Daniel Hernández Juárez, Antonio Espinosa, David Vázquez, Antonio Manuel López Peña, Juan Carlos Moure:
GPU-accelerated real-time stixel computation. CoRR abs/1610.04124 (2016)
[i8]
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  - journals/corr/CampmanySEMVL16
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Victor Campmany, Sergio Silva, Antonio Espinosa, Juan Carlos Moure, David Vázquez, Antonio M. López:
GPU-based Pedestrian Detection for Autonomous Driving. CoRR abs/1611.01642 (2016)
[i7]
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Azadeh Sadat Mozafari, David Vázquez, Mansour Jamzad, Antonio M. López:
Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest. CoRR abs/1611.02886 (2016)
[i6]
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Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taïga, Francesco Visin, David Vázquez, Aaron C. Courville:
PixelVAE: A Latent Variable Model for Natural Images. CoRR abs/1611.05013 (2016)
[i5]
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Simon Jégou, Michal Drozdzal, David Vázquez, Adriana Romero, Yoshua Bengio:
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. CoRR abs/1611.09326 (2016)
[i4]
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David Vázquez, Jorge Bernal, Francisco Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron C. Courville:
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. CoRR abs/1612.00799 (2016)
[i3]
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  - journals/corr/LopezXGVR16
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Antonio M. López, Jiaolong Xu, Jose Luis Gómez, David Vázquez, Germán Ros:
From Virtual to Real World Visual Perception using Domain Adaptation - The DPM as Example. CoRR abs/1612.09134 (2016)
2014
[i2]
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  - journals/corr/GonzalezRVLA14
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Alejandro González, Sebastian Ramos, David Vázquez, Antonio M. López, Jaume Amores:
Spatiotemporal Stacked Sequential Learning for Pedestrian Detection. CoRR abs/1407.3686 (2014)
[i1]
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  - journals/corr/XuRVL14
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Jiaolong Xu, Sebastian Ramos, David Vázquez, Antonio M. López:
Hierarchical Adaptive Structural SVM for Domain Adaptation. CoRR abs/1408.5400 (2014)

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