ML Anthology

Verbeek, Jakob

65 publications

ICLR 2025 Boosting Latent Diffusion with Perceptual Objectives Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek
NeurIPS 2025 Entropy Rectifying Guidance for Diffusion and Flow Models Tariq Berrada, Adriana Romero-Soriano, Michal Drozdzal, Jakob Verbeek, Karteek Alahari
ICML 2025 Improving the Scaling Laws of Synthetic Data with Deliberate Practice Reyhane Askari-Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
NeurIPS 2025 Increasing the Utility of Synthetic Images Through Chamfer Guidance Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari-Hemmat, Melissa Hall, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
ICLR 2025 Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze
ICLRW 2024 Better (pseudo-)labels for Semi-Supervised Instance Segmentation Francois Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek
NeurIPSW 2024 Consistency-Diversity-Realism Pareto Fronts of Conditional Image Generative Models Pietro Astolfi, Melissa Hall, Jakob Verbeek, Marlene Careil, Oscar Mañas, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal
NeurIPSW 2024 Deliberate Practice with Synthetic Data Reyhane Askari-Hemmat, Mohammad Pezeshki, Pietro Astolfi, Melissa Hall, Florian Bordes, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
WACV 2024 Guided Distillation for Semi-Supervised Instance Segmentation Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek
ECCVW 2024 Improved Baselines for Data-Efficient Perceptual Augmentation of LLMs Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek
NeurIPS 2024 On Improved Conditioning Mechanisms and Pre-Training Strategies for Diffusion Models Tariq Berrada, Pietro Astolfi, Melissa Hall, Reyhane Askari-Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
ICML 2024 Residual Quantization with Implicit Neural Codebooks Iris A.M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud Van Sloun, Jakob Verbeek
ICLR 2024 Towards Image Compression with Perfect Realism at Ultra-Low Bitrates Marlene Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
CVPR 2024 Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis Tariq Berrada Ifriqi, Jakob Verbeek, Camille Couprie, Karteek Alahari
ICMLW 2023 Are Visual Recognition Models Robust to Image Compression? João Maria Janeiro, Stanislav Frolov, Alaaeldin El-Nouby, Jakob Verbeek
CVPR 2023 Co-Training 2l Submodels for Visual Recognition Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
ICLR 2023 DiffEdit: Diffusion-Based Semantic Image Editing with Mask Guidance Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord
CVPR 2023 Few-Shot Semantic Image Synthesis with Class Affinity Transfer Marlène Careil, Jakob Verbeek, Stéphane Lathuilière
TMLR 2023 Image Compression with Product Quantized Masked Image Modeling Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Herve Jegou
TMLR 2023 Improved Baselines for Vision-Language Pre-Training Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
ICML 2023 Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herve Jegou, Jakob Verbeek
ICCV 2023 Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek
CVPR 2022 FlexIT: Towards Flexible Semantic Image Translation Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord
ECCV 2022 Three Things Everyone Should Know About Vision Transformers Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou
ECCVW 2022 Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek
AAAI 2021 Anytime Inference with Distilled Hierarchical Neural Ensembles Adria Ruiz, Jakob Verbeek
ECCV 2020 Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov, Edmond Boyer, Jakob Verbeek
ICML 2020 Meta-Learning with Shared Amortized Variational Inference Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari
NeurIPS 2019 Adaptive Density Estimation for Generative Models Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek
ICLRW 2019 Reference-Based Variational Autoencoders Adrià Ruiz, Oriol Martinez, Xavier Binefa, Jakob Verbeek
ICML 2019 Understanding Priors in Bayesian Neural Networks at the Unit Level Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel
ECML-PKDD 2018 Auxiliary Guided Autoregressive Variational Autoencoders Thomas Lucas, Jakob Verbeek
ECCVW 2018 Joint Future Semantic and Instance Segmentation Prediction Camille Couprie, Pauline Luc, Jakob Verbeek
ICML 2018 Mixed Batches and Symmetric Discriminators for GAN Training Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek
ECCV 2018 Predicting Future Instance Segmentation by Forecasting Convolutional Features Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
ECCVW 2018 Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala
ICCV 2017 Areas of Attention for Image Captioning Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek
ICCV 2017 Predicting Deeper into the Future of Semantic Segmentation Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
NeurIPS 2016 Convolutional Neural Fabrics Shreyas Saxena, Jakob Verbeek
ECCV 2016 Heterogeneous Face Recognition with CNNs Shreyas Saxena, Jakob Verbeek
ECCVW 2016 Heterogeneous Face Recognition with CNNs Shreyas Saxena, Jakob Verbeek
ICCVW 2015 Coordinated Local Metric Learning Shreyas Saxena, Jakob Verbeek
CVPR 2014 Efficient Action Localization with Approximately Normalized Fisher Vectors Dan Oneata, Jakob Verbeek, Cordelia Schmid
CVPR 2014 Multi-Fold MIL Training for Weakly Supervised Object Localization Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
ECCV 2014 Spatio-Temporal Object Detection Proposals Dan Oneata, Jérôme Revaud, Jakob Verbeek, Cordelia Schmid
ICCV 2013 Action and Event Recognition with Fisher Vectors on a Compact Feature Set Dan Oneata, Jakob Verbeek, Cordelia Schmid
ICCV 2013 Segmentation Driven Object Detection with Fisher Vectors Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
ECCV 2012 Fusion of Speech, Faces and Text for Person Identification in TV Broadcast Hervé Bredin, Johann Poignant, Makarand Tapaswi, Guillaume Fortier, Viet Bac Le, Thibault Napoléon, Hua Gao, Claude Barras, Sophie Rosset, Laurent Besacier, Jakob Verbeek, Georges Quénot, Frédéric Jurie, Hazim Kemal Ekenel
ECCVW 2012 Fusion of Speech, Faces and Text for Person Identification in TV Broadcast Hervé Bredin, Johann Poignant, Makarand Tapaswi, Guillaume Fortier, Viet Bac Le, Thibault Napoléon, Hua Gao, Claude Barras, Sophie Rosset, Laurent Besacier, Jakob Verbeek, Georges Quénot, Frédéric Jurie, Hazim Kemal Ekenel
CVPR 2012 Image Categorization Using Fisher Kernels of Non-Iid Image Models Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
ECCV 2012 Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka
CVPR 2011 Learning Structured Prediction Models for Interactive Image Labeling Thomas Mensink, Jakob Verbeek, Gabriela Csurka
ICCV 2011 Modeling Spatial Layout with Fisher Vectors for Image Categorization Josip Krapac, Jakob Verbeek, Frédéric Jurie
ICCV 2011 Unsupervised Metric Learning for Face Identification in TV Video Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
CVPR 2010 Improving Web Image Search Results Using Query-Relative Classifiers Josip Krapac, Moray Allan, Jakob Verbeek, Frédéric Jurie
CVPR 2010 Multimodal Semi-Supervised Learning for Image Classification Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid
ECCV 2010 Multiple Instance Metric Learning from Automatically Labeled Bags of Faces Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid
ICCV 2009 Is That You? Metric Learning Approaches for Face Identification Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid
ICCV 2009 TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
CVPR 2008 Automatic Face Naming with Caption-Based Supervision Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
ECCV 2008 Improving People Search Using Query Expansions Thomas Mensink, Jakob Verbeek
CVPR 2007 Learning Color Names from Real-World Images Joost van de Weijer, Cordelia Schmid, Jakob Verbeek
CVPR 2007 Region Classification with Markov Field Aspect Models Jakob Verbeek, Bill Triggs
ICCV 2007 Using High-Level Visual Information for Color Constancy Joost van de Weijer, Cordelia Schmid, Jakob Verbeek
CVPR 2006 Transformation Invariant Component Analysis for Binary Images Zoran Zivkovic, Jakob Verbeek