A Soft k-Segments Algorithm for Principal Curves. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (ICANN, 2001)

Fast nonlinear dimensionality reduction with topology representing networks. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (ESANN, 2002)

Coordinating Principal Component Analyzers. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (ICANN, 2002)

A k-segments algorithm for finding principal curves. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (Pattern Recognit. Lett., 2002)

Self-Organization by Optimizing Free-Energy. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (ESANN, 2003)

Enhancing appearance-based robot localization using sparse disparity maps. - Josep M. Porta; Jakob J. Verbeek; Ben J. A. Kröse (IROS, 2003)

Non-linear CCA and PCA by Alignment of Local Models. - Jakob J. Verbeek; Sam T. Roweis; Nikos Vlassis (NIPS, 2003)

Efficient Greedy Learning of Gaussian Mixture Models. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (Neural Comput., 2003)

The global k-means clustering algorithm. - Aristidis Likas; Nikos Vlassis; Jakob J. Verbeek (Pattern Recognit., 2003)

Mixture models for clustering and dimension reduction. - Jakob Verbeek (2004)

Active Appearance-Based Robot Localization Using Stereo Vision. - Josep M. Porta; Jakob J. Verbeek; Ben J. A. Kröse (Auton. Robots, 2005)

Self-organizing mixture models. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (Neurocomputing, 2005)

Transformation invariant component analysis for binary images. - Zoran Zivkovic; Jakob Verbeek (CVPR (1), 2006)

Accelerated EM-based clustering of large data sets. - Jakob J. Verbeek; Jan Nunnink; Nikos Vlassis (Data Min. Knowl. Discov., 2006)

Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models. - Jakob Verbeek (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Gaussian fields for semi-supervised regression and correspondence learning. - Jakob J. Verbeek; Nikos Vlassis (Pattern Recognit., 2006)

Region Classification with Markov Field Aspect Models. - Jakob Verbeek; Bill Triggs (CVPR, 2007)

Learning Color Names from Real-World Images. - Joost van de Weijer 001; Cordelia Schmid; Jakob Verbeek (CVPR, 2007)

Using High-Level Visual Information for Color Constancy. - Joost van de Weijer 001; Cordelia Schmid; Jakob Verbeek (ICCV, 2007)

Scene Segmentation with CRFs Learned from Partially Labeled Images. - Jakob Verbeek; Bill Triggs (NIPS, 2007)

Automatic face naming with caption-based supervision. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (CVPR, 2008)

Improving People Search Using Query Expansions. - Thomas Mensink; Jakob Verbeek (ECCV (2), 2008)

Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints. - Hakan Cevikalp; Jakob Verbeek; Frédéric Jurie; Alexander Kläser (VISAPP (1), 2008)

Ranking User-annotated Images for Multiple Query Terms. - Moray Allan; Jakob Verbeek (BMVC, 2009)

INRIA-LEAR's Participation in ImageCLEF 2009. - Matthijs Douze; Matthieu Guillaumin; Thomas Mensink; Cordelia Schmid; Jakob Verbeek (CLEF (Working Notes), 2009)

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (ICCV, 2009)

Is that you? Metric learning approaches for face identification. - Matthieu Guillaumin; Jakob Verbeek; Cordelia Schmid (ICCV, 2009)

Learning Color Names for Real-World Applications. - Joost van de Weijer 001; Cordelia Schmid; Jakob Verbeek; Diane Larlus (IEEE Trans. Image Process., 2009)

Trans Media Relevance Feedback for Image Autoannotation. - Thomas Mensink; Jakob Verbeek; Gabriela Csurka (BMVC, 2010)

LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010. - Thomas Mensink; Gabriela Csurka; Florent Perronnin; Jorge Sánchez 002; Jakob Verbeek (CLEF (Notebook Papers/LABs/Workshops), 2010)

Multimodal semi-supervised learning for image classification. - Matthieu Guillaumin; 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)

EP for Efficient Stochastic Control with Obstacles. - Thomas Mensink; Jakob Verbeek; Bert Kappen (ECAI, 2010)

Multiple Instance Metric Learning from Automatically Labeled Bags of Faces. - Matthieu Guillaumin; Jakob Verbeek; Cordelia Schmid (ECCV (1), 2010)

Image annotation with tagprop on the MIRFLICKR set. - Jakob Verbeek; Matthieu Guillaumin; Thomas Mensink; Cordelia Schmid (Multimedia Information Retrieval, 2010)

Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields. - Diane Larlus; Jakob Verbeek; Frédéric Jurie (Int. J. Comput. Vis., 2010)

Accurate Image Search Using the Contextual Dissimilarity Measure. - Hervé Jégou; Cordelia Schmid; Hedi Harzallah; Jakob Verbeek (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Learning Tree-structured Quantizers for Image Categorization. - Josip Krapac; Jakob Verbeek; Frédéric Jurie (BMVC, 2011)

Learning structured prediction models for interactive image labeling. - Thomas Mensink; Jakob Verbeek; Gabriela Csurka (CVPR, 2011)

Unsupervised metric learning for face identification in TV video. - Ramazan Gokberk Cinbis; Jakob Verbeek; Cordelia Schmid (ICCV, 2011)

Modeling spatial layout with fisher vectors for image categorization. - Josip Krapac; Jakob Verbeek; Frédéric Jurie (ICCV, 2011)

Image categorization using Fisher kernels of non-iid image models. - Ramazan Gokberk Cinbis; Jakob Verbeek; Cordelia Schmid (CVPR, 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; et al. (ECCV Workshops (3), 2012)

Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost. - Thomas Mensink; Jakob Verbeek; Florent Perronnin; Gabriela Csurka (ECCV (2), 2012)

AXES at TRECVID 2012: KIS, INS, and MED. - Robin Aly; Kevin McGuinness; Shu Chen; Noel E. O'Connor; Ken Chatfield; Omkar M. Parkhi; Relja Arandjelovic; Andrew Zisserman; Basura Fernando; Tinne Tuytelaars; Dan Oneata; Matthijs Douze; et al. (TRECVID, 2012)

Face Recognition from Caption-Based Supervision. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (Int. J. Comput. Vis., 2012)

Segmentation Driven Object Detection with Fisher Vectors. - Ramazan Gokberk Cinbis; 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)

QCompere @ REPERE 2013. - Hervé Bredin; Johann Poignant; Guillaume Fortier; Makarand Tapaswi; Viet Bac Le; Anindya Roy; Claude Barras; Sophie Rosset; Achintya Kumar Sarkar; Qian Yang; Hua Gao; Alexis Mignon; et al. (SLAM@INTERSPEECH, 2013)

The AXES submissions at TRECVID 2013. - Robin Aly; Relja Arandjelovic; Ken Chatfield; Matthijs Douze; Basura Fernando; Zaïd Harchaoui; Kevin McGuinness; Noel E. O'Connor; Dan Oneata; Omkar M. Parkhi; Danila Potapov; Jérôme Revaud; et al. (TRECVID, 2013)

Image Classification with the Fisher Vector: Theory and Practice. - Jorge Sánchez 002; Florent Perronnin; Thomas Mensink; Jakob Verbeek (Int. J. Comput. Vis., 2013)

Tree-Structured CRF Models for Interactive Image Labeling. - Thomas Mensink; Jakob Verbeek; Gabriela Csurka (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. - Thomas Mensink; Jakob Verbeek; Florent Perronnin; Gabriela Csurka (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. - Thomas Mensink; Jakob Verbeek; Florent Perronnin (Advanced Topics in Computer Vision, 2013)

Multi-fold MIL Training for Weakly Supervised Object Localization. - Ramazan Gokberk Cinbis; Jakob Verbeek; Cordelia Schmid (CVPR, 2014)

Efficient Action Localization with Approximately Normalized Fisher Vectors. - Dan Oneata; Jakob Verbeek; Cordelia Schmid (CVPR, 2014)

Spatio-temporal Object Detection Proposals. - Dan Oneata; Jérôme Revaud; Jakob Verbeek; Cordelia Schmid (ECCV (3), 2014)

The INRIA-LIM-VocR and AXES submissions to TrecVid 2014 Multimedia Event Detection. - Matthijs Douze; Dan Oneata; Mattis Paulin; Clément Leray; Nicolas Chesneau; Danila Potapov; Jakob Verbeek; Karteek Alahari; Zaïd Harchaoui; Lori Lamel; Jean-Luc Gauvain; Christoph Schmidt; et al. (TRECVID, 2014)

Patch-Level Spatial Layout for Classification and Weakly Supervised Localization. - Valentina Zadrija; Josip Krapac; Jakob Verbeek; Sinisa Segvic (GCPR, 2015)

Coordinated Local Metric Learning. - Shreyas Saxena; Jakob Verbeek (ICCV Workshops, 2015)

Machine learning solutions to visual recognition problems. - Jakob Verbeek (2016)

Heterogeneous Face Recognition with CNNs. - Shreyas Saxena; Jakob Verbeek (ECCV Workshops (3), 2016)

Convolutional Neural Fabrics. - Shreyas Saxena; Jakob Verbeek (NIPS, 2016)

Semantic Segmentation using Adversarial Networks. - Pauline Luc; Camille Couprie; Soumith Chintala; Jakob Verbeek (CoRR, 2016)

Circulant Temporal Encoding for Video Retrieval and Temporal Alignment. - Matthijs Douze; Jérôme Revaud; Jakob Verbeek; Hervé Jégou; Cordelia Schmid (Int. J. Comput. Vis., 2016)

A Robust and Efficient Video Representation for Action Recognition. - Heng Wang; Dan Oneata; Jakob Verbeek; Cordelia Schmid (Int. J. Comput. Vis., 2016)

Approximate Fisher Kernels of Non-iid Image Models for Image Categorization. - Ramazan Gokberk Cinbis; Jakob Verbeek; Cordelia Schmid (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Predicting Deeper into the Future of Semantic Segmentation. - Pauline Luc; Natalia Neverova; Camille Couprie; Jakob Verbeek; Yann LeCun (ICCV, 2017)

Areas of Attention for Image Captioning. - Marco Pedersoli; Thomas Lucas 002; Cordelia Schmid; Jakob Verbeek (ICCV, 2017)

Dynamic Filters in Graph Convolutional Networks. - Nitika Verma; Edmond Boyer; Jakob Verbeek (CoRR, 2017)

Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning. - Ramazan Gokberk Cinbis; Jakob Verbeek; Cordelia Schmid (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Token-level and sequence-level loss smoothing for RNN language models. - Maha Elbayad; Laurent Besacier; Jakob Verbeek (ACL (1), 2018)

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. - Maha Elbayad; Laurent Besacier; Jakob Verbeek (CoNLL, 2018)

FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis. - Nitika Verma; Edmond Boyer; Jakob Verbeek (CVPR, 2018)

Joint Future Semantic and Instance Segmentation Prediction. - Camille Couprie; Pauline Luc; Jakob Verbeek (ECCV Workshops (3), 2018)

Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. - Xiaotian Li; Juha Ylioinas; Jakob Verbeek; Juho Kannala (ECCV Workshops (3), 2018)

Predicting Future Instance Segmentation by Forecasting Convolutional Features. - Pauline Luc; Camille Couprie; Yann LeCun; Jakob Verbeek (ECCV (9), 2018)

Mixed batches and symmetric discriminators for GAN training. - Thomas Lucas 002; Corentin Tallec; Yann Ollivier; Jakob Verbeek (ICML, 2018)

Auxiliary Guided Autoregressive Variational Autoencoders. - Thomas Lucas 002; Jakob Verbeek (ECML/PKDD (1), 2018)

Predicting Future Instance Segmentations by Forecasting Convolutional Features. - Pauline Luc; Camille Couprie; Yann LeCun; Jakob Verbeek (CoRR, 2018)

Sparse weakly supervised models for object localization in road environment. - Valentina Zadrija; Josip Krapac; Sinisa Segvic; Jakob Verbeek (Comput. Vis. Image Underst., 2018)

Frankenstein: Learning Deep Face Representations Using Small Data. - Guosheng Hu; Xiaojiang Peng; Yongxin Yang; Timothy M. Hospedales; Jakob Verbeek (IEEE Trans. Image Process., 2018)

Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image. - Roman Klokov; Jakob Verbeek; Edmond Boyer (BMVC, 2019)

Adaptative Inference Cost With Convolutional Neural Mixture Models. - Adria Ruiz; Jakob Verbeek (ICCV, 2019)

Understanding Priors in Bayesian Neural Networks at the Unit Level. - Mariia Vladimirova; Jakob Verbeek; Pablo Mesejo; Julyan Arbel (ICML, 2019)

Adaptive Density Estimation for Generative Models. - Thomas Lucas 002; Konstantin Shmelkov; Karteek Alahari; Cordelia Schmid; Jakob Verbeek (NeurIPS, 2019)

Coverage and Quality Driven Training of Generative Image Models. - Konstantin Shmelkov; Thomas Lucas 002; Karteek Alahari; Cordelia Schmid; Jakob Verbeek (CoRR, 2019)

Learning Disentangled Representations with Reference-Based Variational Autoencoders. - Adria Ruiz; Oriol Martínez; Xavier Binefa; Jakob Verbeek (CoRR, 2019)

Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization. - Xiaotian Li; Jakob Verbeek; Juho Kannala (CoRR, 2019)

Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. - Maha Elbayad; Michael Ustaszewski; Emmanuelle Esperança-Rodier; Francis Brunet-Manquat; Jakob Verbeek; Laurent Besacier (COLING, 2020)

Hierarchical Scene Coordinate Classification and Regression for Visual Localization. - Xiaotian Li; Shuzhe Wang; Yi Zhao 014; Jakob Verbeek; Juho Kannala (CVPR, 2020)

Discrete Point Flow Networks for Efficient Point Cloud Generation. - Roman Klokov; Edmond Boyer; Jakob Verbeek (ECCV (23), 2020)

Meta-Learning with Shared Amortized Variational Inference. - Ekaterina Iakovleva; Jakob Verbeek; Karteek Alahari (ICML, 2020)

Efficient Wait-k Models for Simultaneous Machine Translation. - Maha Elbayad; Laurent Besacier; Jakob Verbeek (INTERSPEECH, 2020)

Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost. - Adria Ruiz; Jakob Verbeek (CoRR, 2020)

Dual Mesh Convolutional Networks for Human Shape Correspondence. - Nitika Verma; Adnane Boukhayma; Edmond Boyer; Jakob Verbeek (3DV, 2021)

Anytime Inference with Distilled Hierarchical Neural Ensembles. - Adria Ruiz; Jakob Verbeek (AAAI, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin Ali; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (NeurIPS, 2021)

Instance-Conditioned GAN. - Arantxa Casanova; Marlène Careil; Jakob Verbeek; Michal Drozdzal; Adriana Romero-Soriano (NeurIPS, 2021)

DualConv: Dual Mesh Convolutional Networks for Shape Correspondence. - Nitika Verma; Adnane Boukhayma; Jakob Verbeek; Edmond Boyer (CoRR, 2021)

ResMLP: Feedforward networks for image classification with data-efficient training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin El-Nouby; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

Joint source-target encoding with pervasive attention. - Maha Elbayad; Laurent Besacier; Jakob Verbeek (Mach. Transl., 2021)

FlexIT: Towards Flexible Semantic Image Translation. - Guillaume Couairon; Asya Grechka; Jakob Verbeek; Holger Schwenk; Matthieu Cord (CVPR, 2022)

Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN. - Marlène Careil; Stéphane Lathuilière; Camille Couprie; Jakob Verbeek (ECCV Workshops (2), 2022)

Three Things Everyone Should Know About Vision Transformers. - Hugo Touvron; Matthieu Cord; Alaaeldin El-Nouby; Jakob Verbeek; Hervé Jégou (ECCV (24), 2022)

Co-training 2L Submodels for Visual Recognition. - Hugo Touvron; Matthieu Cord; Maxime Oquab; Piotr Bojanowski; Jakob Verbeek; Hervé Jégou (CoRR, 2022)

Few-shot Semantic Image Synthesis with Class Affinity Transfer. - Marlène Careil; Jakob Verbeek; Stéphane Lathuilière (CVPR, 2023)

Co-training 2L Submodels for Visual Recognition. - Hugo Touvron; Matthieu Cord; Maxime Oquab; Piotr Bojanowski; Jakob Verbeek; Hervé Jégou (CVPR, 2023)

Zero-shot spatial layout conditioning for text-to-image diffusion models. - Guillaume Couairon; Marlène Careil; Matthieu Cord; Stéphane Lathuilière; Jakob Verbeek (ICCV, 2023)

DiffEdit: Diffusion-based semantic image editing with mask guidance. - Guillaume Couairon; Jakob Verbeek; Holger Schwenk; Matthieu Cord (ICLR, 2023)

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. - Matthew J. Muckley; Alaaeldin El-Nouby; Karen Ullrich; Hervé Jégou; Jakob Verbeek (ICML, 2023)

Instance-Conditioned GAN Data Augmentation for Representation Learning. - Pietro Astolfi; Arantxa Casanova; Jakob Verbeek; Pascal Vincent; Adriana Romero-Soriano; Michal Drozdzal (CoRR, 2023)

Are Visual Recognition Models Robust to Image Compression? - João Maria Janeiro; Stanislav Frolov; Alaaeldin El-Nouby; Jakob Verbeek (CoRR, 2023)

Controllable Image Generation via Collage Representations. - Arantxa Casanova; Marlène Careil; Adriana Romero-Soriano; Christopher J. Pal; Jakob Verbeek; Michal Drozdzal (CoRR, 2023)

Multi-Domain Learning with Modulation Adapters. - Ekaterina Iakovleva; Karteek Alahari; Jakob Verbeek (CoRR, 2023)

Image Compression with Product Quantized Masked Image Modeling. - Alaaeldin El-Nouby; Matthew J. Muckley; Karen Ullrich; Ivan Laptev; Jakob Verbeek; Hervé Jégou (Trans. Mach. Learn. Res., 2023)

Improved baselines for vision-language pre-training. - Enrico Fini; Pietro Astolfi; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (Trans. Mach. Learn. Res., 2023)

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. - Hugo Touvron; Piotr Bojanowski; Mathilde Caron; Matthieu Cord; Alaaeldin El-Nouby; Edouard Grave; Gautier Izacard; Armand Joulin; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis. - Tariq Berrada; Jakob Verbeek; Camille Couprie; Karteek Alahari (CVPR, 2024)

Improved Baselines for Data-Efficient Perceptual Augmentation of LLMs. - Théophane Vallaeys; Mustafa Shukor; Matthieu Cord; Jakob Verbeek (ECCV Workshops (22), 2024)

Towards image compression with perfect realism at ultra-low bitrates. - Marlène Careil; Matthew J. Muckley; Jakob Verbeek; Stéphane Lathuilière (ICLR, 2024)

Residual Quantization with Implicit Neural Codebooks. - Iris A. M. Huijben; Matthijs Douze; Matthew J. Muckley; Ruud van Sloun; Jakob Verbeek (ICML, 2024)

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada Ifriqi; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (NeurIPS, 2024)

Guided Distillation for Semi-Supervised Instance Segmentation. - Tariq Berrada; Camille Couprie; Karteek Alahari; Jakob Verbeek (WACV, 2024)

Better (pseudo-)labels for semi-supervised instance segmentation. - François Porcher; Camille Couprie; Marc Szafraniec; Jakob Verbeek (CoRR, 2024)

Consistency-diversity-realism Pareto fronts of conditional image generative models. - Pietro Astolfi; Marlène Careil; Melissa Hall; Oscar Mañas; Matthew J. Muckley; Jakob Verbeek; Adriana Romero-Soriano; Michal Drozdzal (CoRR, 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 J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (CoRR, 2024)

EvalGIM: A Library for Evaluating Generative Image Models. - Melissa Hall; Oscar Mañas; Reyhane Askari Hemmat; Mark Ibrahim; Candace Ross; Pietro Astolfi; Tariq Berrada Ifriqi; Marton Havasi; Yohann Benchetrit; Karen Ullrich; Carolina Braga; Abhishek Charnalia; et al. (CoRR, 2024)

Architecture Optimizations for Improving Neural Image Compression Compute Complexity. - Matthew J. Muckley; Marton Havasi; Jakob Verbeek; Karen Ullrich (DCC, 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 (ICLR, 2025)

Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks. - Théophane Vallaeys; Matthew J. Muckley; Jakob Verbeek; Matthijs Douze (ICLR, 2025)

Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations. - Krunoslav Lehman Pavasovic; Jakob Verbeek; Giulio Biroli; Marc Mézard (CoRR, 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 (CoRR, 2025)

Entropy Rectifying Guidance for Diffusion and Flow Models. - Tariq Berrada Ifriqi; Adriana Romero-Soriano; Michal Drozdzal; Jakob Verbeek; Karteek Alahari (CoRR, 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 (CoRR, 2025)