David Vázquez

CoRR, 2024

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.

[BibT_eX]

[DOI]

CoRR, 2024

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

[BibT_eX]

[DOI]

CoRR, 2024

InCoRo: In-Context Learning for Robotics Control with Feedback Loops.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference.

[BibT_eX]

[DOI]

João Monteiro

Étienne Marcotte

Pierre-André Noël

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

A Survey of Self-Supervised and Few-Shot Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Workflow Discovery from Dialogues in the Low Data Regime.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Knowledge Hypergraph Embedding Meets Relational Algebra.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Capture the Flag: Uncovering Data Insights with Large Language Models.

[BibT_eX]

[DOI]

Perouz Taslakian

Sai Rajeswar

CoRR, 2023

StarVector: Generating Scalable Vector Graphics Code from Images.

[BibT_eX]

[DOI]

CoRR, 2023

OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection.

[BibT_eX]

[DOI]

Charles Guille-Escuret

CoRR, 2023

Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images.

[BibT_eX]

[DOI]

Saypraseuth Mounsaveng

CoRR, 2023

Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans.

[BibT_eX]

[DOI]

CoRR, 2023

Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments.

[BibT_eX]

[DOI]

CoRR, 2023

OCR-VQGAN: Taming Text-within-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Group Robust Classification Without Any Group Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GEO-Bench: Toward Foundation Models for Earth Monitoring.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning.

[BibT_eX]

[DOI]

Charles Guille-Escuret

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FigGen: Text to Scientific Figure Generation.

[BibT_eX]

[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Constraining Representations Yields Models That Know What They Don't Know.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Flaky Performances When Pretraining on Relational Databases (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

Towards good validation metrics for generative models in offline model-based optimisation.

[BibT_eX]

[DOI]

CoRR, 2022

Flaky Performances when Pretraining on Relational Databases.

[BibT_eX]

[DOI]

CoRR, 2022

Implicit Offline Reinforcement Learning via Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Using Graph Algorithms to Pretrain Graph Completion Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning.

[BibT_eX]

[DOI]

Charles Guille-Escuret

CoRR, 2022

Challenges in leveraging GANs for few-shot data augmentation.

[BibT_eX]

[DOI]

CoRR, 2022

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions.

[BibT_eX]

[DOI]

German Ignacio Parisi

Artif. Intell., 2022

Multi-label Iterated Learning for Image Classification with Label Ambiguity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Overcoming challenges in leveraging GANs for few-shot data augmentation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

3D Perception With Slanted Stixels on GPU.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images.

[BibT_eX]

[DOI]

Mostafa Rahimi Azghadi

IEEE J. Biomed. Health Informatics, 2021

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark.

[BibT_eX]

[DOI]

CoRR, 2021

Touch-based Curiosity for Sparse-Reward Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Data Augmentation with Online Bilevel Optimization for Image Classification.

[BibT_eX]

[DOI]

Saypraseuth Mounsaveng

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Haptics-based Curiosity for Sparse-reward Tasks.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Generating virtual images for promoting visual artificial intelligence.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation.

[BibT_eX]

[DOI]

Sai Rajeswar

Fahim Mannan

Florian Golemo

Jérôme Parent-Lévesque

Derek Nowrouzezahrai

Aaron C. Courville

Int. J. Comput. Vis., 2020

Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery.

[BibT_eX]

[DOI]

CoRR, 2020

Affinity LCFCN: Learning to Segment Fish with Weak Supervision.

[BibT_eX]

[DOI]

Mostafa Rahimi Azghadi

CoRR, 2020

A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images.

[BibT_eX]

[DOI]

Frederic Branchaud-Charron

Pau Rodríguez

CoRR, 2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Synbols: Probing Learning Algorithms with Synthetic Datasets.

[BibT_eX]

[DOI]

Alexandre Lacoste

Pau Rodríguez López

Frederic Branchaud-Charron

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Knowledge Hypergraphs: Prediction Beyond Binary Relations.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Proposal-Based Instance Segmentation With Point Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Looc: Localize Overlapping Objects with Count Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Slanted Stixels: A Way to Represent Steep Streets.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Adversarial Learning of General Transformations for Data Augmentation.

[BibT_eX]

[DOI]

Saypraseuth Mounsaveng

Ismail Ben Ayed

Marco Pedersoli

CoRR, 2019

Instance Segmentation with Point Supervision.

[BibT_eX]

[DOI]

CoRR, 2019

Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Remove Rain in Traffic Surveillance by using Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Fourier-CPPNs for Image Synthesis.

[BibT_eX]

[DOI]

Mattie Tesfaldet

Xavier Snelgrove

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation.

[BibT_eX]

[DOI]

Lironne Kurzman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Context-Aware Visual Compatibility Prediction.

[BibT_eX]

[DOI]

Guillem Cucurull

Perouz Taslakian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Where are the Masks: Instance Segmentation with Image-level Supervision.

[BibT_eX]

[DOI]

Mark Schmidt

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Where Are the Blobs: Counting by Localization with Point Supervision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Semantic Segmentation of Urban Scenes via Domain Adaptation of SYNTHIA.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

From Virtual to Real World Visual Perception Using Domain Adaptation - The DPM as Example.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

On-Board Detection of Pedestrian Intentions.

[BibT_eX]

[DOI]

Zhijie Fang

Sensors, 2017

Training my car to see using virtual worlds.

[BibT_eX]

[DOI]

Azadeh Sadat Mozafari

Image Vis. Comput., 2017

GPU-Accelerated Real-Time Stixel Computation.

[BibT_eX]

[DOI]

Antonio Espinosa

Juan C. Moure

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

PixelVAE: A Latent Variable Model for Natural Images.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Slanted Stixels: Representing San Francisco's Steepest Streets.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison.

[BibT_eX]

[DOI]

Alejandro González

Zhijie Fang

Yainuvis Socarrás Salas

Sensors, 2016

Hierarchical Adaptive Structural SVM for Domain Adaptation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2016

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

[BibT_eX]

[DOI]

Gloria Fernández-Esparrach

Jorge Bernal

Francisco Javier Sánchez

CoRR, 2016

Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest.

[BibT_eX]

[DOI]

Azadeh Sadat Mozafari

Mansour Jamzad

CoRR, 2016

From Virtual to Real World Visual Perception using Domain Adaptation - The DPM as Example.

[BibT_eX]

[DOI]

CoRR, 2016

Comparison of two non-linear model-based control strategies for autonomous vehicles.

[BibT_eX]

[DOI]

Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Hierarchical online domain adaptation of deformable part-based models.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Embedded Real-time Stereo Estimation via Semi-Global Matching on the GPU.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science 2016, 2016

GPU-based Pedestrian Detection for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science 2016, 2016

The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Vision-Based Offline-Online Perception Paradigm for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

3D-Guided Multiscale Sliding Window for Pedestrian Detection.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Spatiotemporal Stacked Sequential Learning for Pedestrian Detection.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014

Learning a Part-Based Pedestrian Detector in a Virtual World.

[BibT_eX]

[DOI]

Jiaolong Xu

Javier Marín

Daniel Ponsa

IEEE Trans. Intell. Transp. Syst., 2014

Occlusion Handling via Random Subspace Classifiers for Human Detection.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Domain Adaptation of Deformable Part-Based Models.

[BibT_eX]

[DOI]

Jiaolong Xu

Sebastian Ramos

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Virtual and Real World Adaptationfor Pedestrian Detection.

[BibT_eX]

[DOI]

Javier Marín

Daniel Ponsa

David Gerónimo Gómez

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Cost-Sensitive Structured SVM for Multi-category Domain Adaptation.

[BibT_eX]

[DOI]

Jiaolong Xu

Sebastian Ramos

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Incremental Domain Adaptation of Deformable Part-based Models.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2014

2013

Interactive Training of Human Detectors.

[BibT_eX]

[DOI]

Proceedings of the Multimodal Interaction in Image and Video Applications, 2013

Learning a multiview part-based model in virtual world for pedestrian detection.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Random Forests of Local Experts for Pedestrian Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Unsupervised domain adaptation of virtual and real worlds for pedestrian detection.

[BibT_eX]

[DOI]

Daniel Ponsa

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Improving HOG with Image Segmentation: Application to Human Detection.

[BibT_eX]

[DOI]

Yainuvis Socarrás Salas

David Vázquez Bermudez

Antonio M. López Peña

David Gerónimo Gómez

Theo Gevers

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2012

2011

Virtual worlds and active learning for human detection.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Multimodal Interfaces, 2011

Opponent Colors for Human Detection.

[BibT_eX]

[DOI]

Rao Muhammad Anwer

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Color Contribution to Part-Based Person Detection in Different Types of Scenarios.

[BibT_eX]

[DOI]

Rao Muhammad Anwer