| 2025 | DCC | Architecture Optimizations for Improving Neural Image Compression Compute Complexity. | Matthew J. Muckley, Marton Havasi, Jakob Verbeek, Karen Ullrich |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks. | Thophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze |
| 2025 | ICML | 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 |
| 2024 | CVPR | Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis. | Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari |
| 2024 | ECCV | Improved Baselines for Data-Efficient Perceptual Augmentation of LLMs. | Thophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek |
| 2024 | ICLR | Towards image compression with perfect realism at ultra-low bitrates. | Marlne Careil, Matthew J. Muckley, Jakob Verbeek, Stphane Lathuilire |
| 2024 | ICML | Residual Quantization with Implicit Neural Codebooks. | Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek |
| 2024 | WACV | Guided Distillation for Semi-Supervised Instance Segmentation. | Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek |
| 2023 | CVPR | Few-shot Semantic Image Synthesis with Class Affinity Transfer. | Marlne Careil, Jakob Verbeek, Stphane Lathuilire |
| 2023 | CVPR | Co-training 2L Submodels for Visual Recognition. | Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Herv Jgou |
| 2023 | ICCV | Zero-shot spatial layout conditioning for text-to-image diffusion models. | Guillaume Couairon, Marlne Careil, Matthieu Cord, Stphane Lathuilire, Jakob Verbeek |
| 2023 | ICLR | DiffEdit: Diffusion-based semantic image editing with mask guidance. | Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord |
| 2023 | ICML | Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. | Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herv Jgou, Jakob Verbeek |
| 2022 | CVPR | FlexIT: Towards Flexible Semantic Image Translation. | Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord |
| 2022 | ECCV | Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN. | Marlne Careil, Stphane Lathuilire, Camille Couprie, Jakob Verbeek |
| 2022 | ECCV | Three Things Everyone Should Know About Vision Transformers. | Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Herv Jgou |
| 2021 | AAAI | Anytime Inference with Distilled Hierarchical Neural Ensembles. | Adria Ruiz, Jakob Verbeek |
| 2020 | COLING | Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. | Maha Elbayad, Michael Ustaszewski, Emmanuelle Esperana-Rodier, Francis Brunet-Manquat, Jakob Verbeek, Laurent Besacier |
| 2020 | CVPR | Hierarchical Scene Coordinate Classification and Regression for Visual Localization. | Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala |
| 2020 | ECCV | Discrete Point Flow Networks for Efficient Point Cloud Generation. | Roman Klokov, Edmond Boyer, Jakob Verbeek |
| 2020 | ICML | Meta-Learning with Shared Amortized Variational Inference. | Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari |
| 2020 | Interspeech | Efficient Wait-k Models for Simultaneous Machine Translation. | Maha Elbayad, Laurent Besacier, Jakob Verbeek |
| 2019 | BMVC | Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image. | Roman Klokov, Jakob Verbeek, Edmond Boyer |
| 2019 | ICCV | Adaptative Inference Cost With Convolutional Neural Mixture Models. | Adria Ruiz, Jakob Verbeek |
| 2019 | ICML | Understanding Priors in Bayesian Neural Networks at the Unit Level. | Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel |
| 2018 | ACL | Token-level and sequence-level loss smoothing for RNN language models. | Maha Elbayad, Laurent Besacier, Jakob Verbeek |
| 2018 | CoNLL | Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. | Maha Elbayad, Laurent Besacier, Jakob Verbeek |
| 2018 | CVPR | FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis. | Nitika Verma, Edmond Boyer, Jakob Verbeek |
| 2018 | ECCV | Joint Future Semantic and Instance Segmentation Prediction. | Camille Couprie, Pauline Luc, Jakob Verbeek |
| 2018 | ECCV | Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. | Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala |
| 2018 | ECCV | Predicting Future Instance Segmentation by Forecasting Convolutional Features. | Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek |
| 2018 | ICML | Mixed batches and symmetric discriminators for GAN training. | Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek |
| 2017 | ICCV | Predicting Deeper into the Future of Semantic Segmentation. | Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun |
| 2017 | ICCV | Areas of Attention for Image Captioning. | Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek |
| 2016 | ECCV | Heterogeneous Face Recognition with CNNs. | Shreyas Saxena, Jakob Verbeek |
| 2014 | CVPR | Multi-fold MIL Training for Weakly Supervised Object Localization. | Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid |
| 2014 | CVPR | Efficient Action Localization with Approximately Normalized Fisher Vectors. | Dan Oneata, Jakob Verbeek, Cordelia Schmid |
| 2014 | ECCV | Spatio-temporal Object Detection Proposals. | Dan Oneata, Jrme Revaud, Jakob Verbeek, Cordelia Schmid |
| 2013 | ICCV | Segmentation Driven Object Detection with Fisher Vectors. | Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid |
| 2013 | ICCV | Action and Event Recognition with Fisher Vectors on a Compact Feature Set. | Dan Oneata, Jakob Verbeek, Cordelia Schmid |
| 2013 | Interspeech | QCompere @ REPERE 2013. | Herv 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, Jakob Verbeek, Laurent Besacier, Georges Qunot, Hazim Kemal Ekenel, Rainer Stiefelhagen |
| 2012 | CVPR | Image categorization using Fisher kernels of non-iid image models. | Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid |
| 2012 | ECCV | Fusion of Speech, Faces and Text for Person Identification in TV Broadcast. | Herv Bredin, Johann Poignant, Makarand Tapaswi, Guillaume Fortier, Viet Bac Le, Thibault Napolon, Hua Gao, Claude Barras, Sophie Rosset, Laurent Besacier, Jakob Verbeek, Georges Qunot, Frdric Jurie, Hazim Kemal Ekenel |
| 2012 | ECCV | Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost. | Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka |
| 2011 | BMVC | Learning Tree-structured Quantizers for Image Categorization. | Josip Krapac, Jakob Verbeek, Frdric Jurie |
| 2011 | CVPR | Learning structured prediction models for interactive image labeling. | Thomas Mensink, Jakob Verbeek, Gabriela Csurka |
| 2011 | ICCV | Unsupervised metric learning for face identification in TV video. | Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid |
| 2011 | ICCV | Modeling spatial layout with fisher vectors for image categorization. | Josip Krapac, Jakob Verbeek, Frdric Jurie |
| 2010 | BMVC | Trans Media Relevance Feedback for Image Autoannotation. | Thomas Mensink, Jakob Verbeek, Gabriela Csurka |
| 2010 | CVPR | Multimodal semi-supervised learning for image classification. | Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid |
| 2010 | CVPR | Improving web image search results using query-relative classifiers. | Josip Krapac, Moray Allan, Jakob Verbeek, Frdric Jurie |
| 2010 | ECAI | EP for Efficient Stochastic Control with Obstacles. | Thomas Mensink, Jakob Verbeek, Bert Kappen |
| 2010 | ECCV | Multiple Instance Metric Learning from Automatically Labeled Bags of Faces. | Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid |
| 2009 | BMVC | Ranking User-annotated Images for Multiple Query Terms. | Moray Allan, Jakob Verbeek |
| 2009 | ICCV | TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. | Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid |
| 2009 | ICCV | Is that you? Metric learning approaches for face identification. | Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid |
| 2008 | CVPR | Automatic face naming with caption-based supervision. | Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid |
| 2008 | ECCV | Improving People Search Using Query Expansions. | Thomas Mensink, Jakob Verbeek |
| 2007 | CVPR | Region Classification with Markov Field Aspect Models. | Jakob Verbeek, Bill Triggs |
| 2007 | CVPR | Learning Color Names from Real-World Images. | Joost van de Weijer, Cordelia Schmid, Jakob Verbeek |
| 2007 | ICCV | Using High-Level Visual Information for Color Constancy. | Joost van de Weijer, Cordelia Schmid, Jakob Verbeek |
| 2006 | CVPR | Transformation invariant component analysis for binary images. | Zoran Zivkovic, Jakob Verbeek |