Jakob Verbeek - RankMe

164 papers A* 41A 7B 3Journal 81Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Language Modeling: An Exploration of Multimodal Pretraining. CoRR Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie
2025	B	`conf`	Architecture Optimizations for Improving Neural Image Compression Compute Complexity. DCC Matthew J. Muckley, Marton Havasi, Jakob Verbeek, Karen Ullrich
2025	A*	`conf`	Boosting Latent Diffusion with Perceptual Objectives. ICLR Tariq Berrada, Pietro Astolfi, Melissa Hall, Marton Havasi, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari, Michal Drozdzal, Jakob Verbeek
2025	J	`jnl`	Entropy Rectifying Guidance for Diffusion and Flow Models. CoRR Tariq Berrada Ifriqi, Adriana Romero-Soriano, Michal Drozdzal, Jakob Verbeek, Karteek Alahari
2025	J	`jnl`	Flowception: Temporally Expansive Flow Matching for Video Generation. CoRR Tariq Berrada Ifriqi, John Nguyen, Karteek Alahari, Jakob Verbeek, Ricky T. Q. Chen
2025	A*	`conf`	Improving the Scaling Laws of Synthetic Data with Deliberate Practice. ICML Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Improving the Scaling Laws of Synthetic Data with Deliberate Practice. CoRR Reyhane Askari Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Increasing the Utility of Synthetic Images through Chamfer Guidance. CoRR Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari Hemmat, Melissa Hall, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
2025	A*	`conf`	Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks. ICLR Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze
2025	J	`jnl`	Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks. CoRR Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze
2025	J	`jnl`	SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization. CoRR Théophane Vallaeys, Jakob Verbeek, Matthieu Cord
2025	J	`jnl`	TV2TV: A Unified Framework for Interleaved Language and Video Generation. CoRR Xiaochuang Han, Youssef Emad, Melissa Hall, John Nguyen, Karthik Padthe, Liam Robbins, Amir Bar, Delong Chen, Michal Drozdzal, Maha Elbayad, Yushi Hu, Shang-wen Li, Sreya Dutta Roy, Jakob Verbeek, Xudong Wang, Marjan Ghazvininejad, Luke Zettlemoyer, Emily Dinan
2025	J	`jnl`	Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations. CoRR Krunoslav Lehman Pavasovic, Jakob Verbeek, Giulio Biroli, Marc Mézard
2025	J	`jnl`	VUGEN: Visual Understanding priors for GENeration. CoRR Xiangyi Chen, Théophane Vallaeys, Maha Elbayad, John Nguyen, Jakob Verbeek
2024	J	`jnl`	Better (pseudo-)labels for semi-supervised instance segmentation. CoRR François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek
2024	J	`jnl`	Boosting Latent Diffusion with Perceptual Objectives. CoRR Tariq Berrada, Pietro Astolfi, Jakob Verbeek, Melissa Hall, Marton Havasi, Michal Drozdzal, Yohann Benchetrit, Adriana Romero-Soriano, Karteek Alahari
2024	J	`jnl`	Consistency-diversity-realism Pareto fronts of conditional image generative models. CoRR Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
2024	J	`jnl`	EvalGIM: A Library for Evaluating Generative Image Models. CoRR 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, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano
2024	A	`conf`	Guided Distillation for Semi-Supervised Instance Segmentation. WACV Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek
2024	—	`conf`	Improved Baselines for Data-Efficient Perceptual Augmentation of LLMs. ECCV Workshops (22) Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek
2024	J	`jnl`	Improved Baselines for Data-efficient Perceptual Augmentation of LLMs. CoRR Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek
2024	J	`jnl`	On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. CoRR 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
2024	A*	`conf`	On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. NeurIPS 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
2024	A*	`conf`	Residual Quantization with Implicit Neural Codebooks. ICML Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek
2024	J	`jnl`	Residual Quantization with Implicit Neural Codebooks. CoRR Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek
2024	A*	`conf`	Towards image compression with perfect realism at ultra-low bitrates. ICLR Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
2024	A*	`conf`	Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis. CVPR Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari
2023	J	`jnl`	Are Visual Recognition Models Robust to Image Compression? CoRR João Maria Janeiro, Stanislav Frolov, Alaaeldin El-Nouby, Jakob Verbeek
2023	A*	`conf`	Co-training 2L Submodels for Visual Recognition. CVPR Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
2023	J	`jnl`	Controllable Image Generation via Collage Representations. CoRR Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal
2023	A*	`conf`	DiffEdit: Diffusion-based semantic image editing with mask guidance. ICLR Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord
2023	A*	`conf`	Few-shot Semantic Image Synthesis with Class Affinity Transfer. CVPR Marlène Careil, Jakob Verbeek, Stéphane Lathuilière
2023	J	`jnl`	Few-shot Semantic Image Synthesis with Class Affinity Transfer. CoRR Marlène Careil, Jakob Verbeek, Stéphane Lathuilière
2023	J	`jnl`	Guided Distillation for Semi-Supervised Instance Segmentation. CoRR Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek
2023	J	`jnl`	Image Compression with Product Quantized Masked Image Modeling. Trans. Mach. Learn. Res. Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
2023	J	`jnl`	Improved baselines for vision-language pre-training. CoRR Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
2023	J	`jnl`	Improved baselines for vision-language pre-training. Trans. Mach. Learn. Res. Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
2023	A*	`conf`	Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. ICML Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
2023	J	`jnl`	Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. CoRR Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
2023	J	`jnl`	Instance-Conditioned GAN Data Augmentation for Representation Learning. CoRR Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal
2023	J	`jnl`	Multi-Domain Learning with Modulation Adapters. CoRR Ekaterina Iakovleva, Karteek Alahari, Jakob Verbeek
2023	J	`jnl`	ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2023	J	`jnl`	Towards image compression with perfect realism at ultra-low bitrates. CoRR Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
2023	J	`jnl`	Unlocking Pre-trained Image Backbones for Semantic Image Synthesis. CoRR Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari
2023	A*	`conf`	Zero-shot spatial layout conditioning for text-to-image diffusion models. ICCV Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek
2023	J	`jnl`	Zero-shot spatial layout conditioning for text-to-image diffusion models. CoRR Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek
2022	J	`jnl`	Co-training 2 CoRR Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou
2022	J	`jnl`	DiffEdit: Diffusion-based semantic image editing with mask guidance. CoRR Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord
2022	A*	`conf`	FlexIT: Towards Flexible Semantic Image Translation. CVPR Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord
2022	J	`jnl`	FlexIT: Towards Flexible Semantic Image Translation. CoRR Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord
2022	J	`jnl`	Image Compression with Product Quantized Masked Image Modeling. CoRR Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
2022	—	`conf`	Three Things Everyone Should Know About Vision Transformers. ECCV (24) Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou
2022	J	`jnl`	Three things everyone should know about Vision Transformers. CoRR Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou
2022	—	`conf`	Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN. ECCV Workshops (2) Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek
2022	J	`jnl`	Unifying conditional and unconditional semantic image synthesis with OCO-GAN. CoRR Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek
2021	A*	`conf`	Anytime Inference with Distilled Hierarchical Neural Ensembles. AAAI Adria Ruiz, Jakob Verbeek
2021	—	`conf`	Dual Mesh Convolutional Networks for Human Shape Correspondence. 3DV Nitika Verma, Adnane Boukhayma, Edmond Boyer, Jakob Verbeek
2021	J	`jnl`	DualConv: Dual Mesh Convolutional Networks for Shape Correspondence. CoRR Nitika Verma, Adnane Boukhayma, Jakob Verbeek, Edmond Boyer
2021	A*	`conf`	Instance-Conditioned GAN. NeurIPS Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2021	J	`jnl`	Instance-Conditioned GAN. CoRR Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano
2021	J	`jnl`	Joint source-target encoding with pervasive attention. Mach. Transl. Maha Elbayad, Laurent Besacier, Jakob Verbeek
2021	J	`jnl`	ResMLP: Feedforward networks for image classification with data-efficient training. CoRR Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2021	A*	`conf`	XCiT: Cross-Covariance Image Transformers. NeurIPS Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2021	J	`jnl`	XCiT: Cross-Covariance Image Transformers. CoRR Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2020	—	`conf`	Discrete Point Flow Networks for Efficient Point Cloud Generation. ECCV (23) Roman Klokov, Edmond Boyer, Jakob Verbeek
2020	J	`jnl`	Discrete Point Flow Networks for Efficient Point Cloud Generation. CoRR Roman Klokov, Edmond Boyer, Jakob Verbeek
2020	J	`jnl`	Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost. CoRR Adria Ruiz, Jakob Verbeek
2020	A	`conf`	Efficient Wait-k Models for Simultaneous Machine Translation. INTERSPEECH Maha Elbayad, Laurent Besacier, Jakob Verbeek
2020	J	`jnl`	Efficient Wait-k Models for Simultaneous Machine Translation. CoRR Maha Elbayad, Laurent Besacier, Jakob Verbeek
2020	A*	`conf`	Hierarchical Scene Coordinate Classification and Regression for Visual Localization. CVPR Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala
2020	A*	`conf`	Meta-Learning with Shared Amortized Variational Inference. ICML Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari
2020	J	`jnl`	Meta-Learning with Shared Amortized Variational Inference. CoRR Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari
2020	B	`conf`	Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. COLING Maha Elbayad, Michael Ustaszewski, Emmanuelle Esperança-Rodier, Francis Brunet-Manquat, Jakob Verbeek, Laurent Besacier
2019	A*	`conf`	Adaptative Inference Cost With Convolutional Neural Mixture Models. ICCV Adria Ruiz, Jakob Verbeek
2019	J	`jnl`	Adaptative Inference Cost With Convolutional Neural Mixture Models. CoRR Adria Ruiz, Jakob Verbeek
2019	A*	`conf`	Adaptive Density Estimation for Generative Models. NeurIPS Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek
2019	J	`jnl`	Coverage and Quality Driven Training of Generative Image Models. CoRR Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek
2019	J	`jnl`	Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization. CoRR Xiaotian Li, Jakob Verbeek, Juho Kannala
2019	J	`jnl`	Learning Disentangled Representations with Reference-Based Variational Autoencoders. CoRR Adria Ruiz, Oriol Martínez, Xavier Binefa, Jakob Verbeek
2019	A	`conf`	Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image. BMVC Roman Klokov, Jakob Verbeek, Edmond Boyer
2019	J	`jnl`	Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image. CoRR Roman Klokov, Jakob Verbeek, Edmond Boyer
2019	A*	`conf`	Understanding Priors in Bayesian Neural Networks at the Unit Level. ICML Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel
2018	—	`conf`	Auxiliary Guided Autoregressive Variational Autoencoders. ECML/PKDD (1) Thomas Lucas, Jakob Verbeek
2018	A*	`conf`	FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis. CVPR Nitika Verma, Edmond Boyer, Jakob Verbeek
2018	J	`jnl`	Frankenstein: Learning Deep Face Representations Using Small Data. IEEE Trans. Image Process. Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek
2018	—	`conf`	Joint Future Semantic and Instance Segmentation Prediction. ECCV Workshops (3) Camille Couprie, Pauline Luc, Jakob Verbeek
2018	A*	`conf`	Mixed batches and symmetric discriminators for GAN training. ICML Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek
2018	J	`jnl`	Mixed batches and symmetric discriminators for GAN training. CoRR Thomas Lucas, Corentin Tallec, Jakob Verbeek, Yann Ollivier
2018	B	`conf`	Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. CoNLL Maha Elbayad, Laurent Besacier, Jakob Verbeek
2018	J	`jnl`	Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction. CoRR Maha Elbayad, Laurent Besacier, Jakob Verbeek
2018	—	`conf`	Predicting Future Instance Segmentation by Forecasting Convolutional Features. ECCV (9) Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
2018	J	`jnl`	Predicting Future Instance Segmentations by Forecasting Convolutional Features. CoRR Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek
2018	—	`conf`	Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. ECCV Workshops (3) Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala
2018	J	`jnl`	Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization. CoRR Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala
2018	J	`jnl`	Sparse weakly supervised models for object localization in road environment. Comput. Vis. Image Underst. Valentina Zadrija, Josip Krapac, Sinisa Segvic, Jakob Verbeek
2018	—	`conf`	Token-level and sequence-level loss smoothing for RNN language models. ACL (1) Maha Elbayad, Laurent Besacier, Jakob Verbeek
2018	J	`jnl`	Token-level and sequence-level loss smoothing for RNN language models. CoRR Maha Elbayad, Laurent Besacier, Jakob Verbeek
2017	A*	`conf`	Areas of Attention for Image Captioning. ICCV Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek
2017	J	`jnl`	Auxiliary Guided Autoregressive Variational Autoencoders. CoRR Thomas Lucas, Jakob Verbeek
2017	J	`jnl`	Dynamic Filters in Graph Convolutional Networks. CoRR Nitika Verma, Edmond Boyer, Jakob Verbeek
2017	A*	`conf`	Predicting Deeper into the Future of Semantic Segmentation. ICCV Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
2017	J	`jnl`	Predicting Deeper into the Future of Semantic Segmentation. CoRR Natalia Neverova, Pauline Luc, Camille Couprie, Jakob Verbeek, Yann LeCun
2017	J	`jnl`	Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
2016	J	`jnl`	A Robust and Efficient Video Representation for Action Recognition. Int. J. Comput. Vis. Heng Wang, Dan Oneata, Jakob Verbeek, Cordelia Schmid
2016	J	`jnl`	Approximate Fisher Kernels of Non-iid Image Models for Image Categorization. IEEE Trans. Pattern Anal. Mach. Intell. Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
2016	J	`jnl`	Areas of Attention for Image Captioning. CoRR Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek
2016	J	`jnl`	Circulant Temporal Encoding for Video Retrieval and Temporal Alignment. Int. J. Comput. Vis. Matthijs Douze, Jérôme Revaud, Jakob Verbeek, Hervé Jégou, Cordelia Schmid
2016	—	`conf`	Convolutional Neural Fabrics. NIPS Shreyas Saxena, Jakob Verbeek
2016	J	`jnl`	Convolutional Neural Fabrics. CoRR Shreyas Saxena, Jakob Verbeek
2016	J	`jnl`	Frankenstein: Learning Deep Face Representations using Small Data. CoRR Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek
2016	—	`conf`	Heterogeneous Face Recognition with CNNs. ECCV Workshops (3) Shreyas Saxena, Jakob Verbeek
2016	—	`book`	Machine learning solutions to visual recognition problems. Jakob Verbeek
2016	J	`jnl`	Semantic Segmentation using Adversarial Networks. CoRR Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek
2015	J	`jnl`	A robust and efficient video representation for action recognition. CoRR Heng Wang, Dan Oneata, Jakob Verbeek, Cordelia Schmid
2015	J	`jnl`	Approximate Fisher Kernels of non-iid Image Models for Image Categorization. CoRR Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
2015	J	`jnl`	Circulant temporal encoding for video retrieval and temporal alignment. CoRR Matthijs Douze, Jérôme Revaud, Jakob Verbeek, Hervé Jégou, Cordelia Schmid
2015	—	`conf`	Coordinated Local Metric Learning. ICCV Workshops Shreyas Saxena, Jakob Verbeek
2015	—	`conf`	Patch-Level Spatial Layout for Classification and Weakly Supervised Localization. GCPR Valentina Zadrija, Josip Krapac, Jakob Verbeek, Sinisa Segvic
2015	J	`jnl`	Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning. CoRR Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
2014	A*	`conf`	Efficient Action Localization with Approximately Normalized Fisher Vectors. CVPR Dan Oneata, Jakob Verbeek, Cordelia Schmid
2014	A*	`conf`	Multi-fold MIL Training for Weakly Supervised Object Localization. CVPR Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
2014	—	`conf`	Spatio-temporal Object Detection Proposals. ECCV (3) Dan Oneata, Jérôme Revaud, Jakob Verbeek, Cordelia Schmid
2014	—	`conf`	The INRIA-LIM-VocR and AXES submissions to TrecVid 2014 Multimedia Event Detection. TRECVID 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, Cordelia Schmid
2013	A*	`conf`	Action and Event Recognition with Fisher Vectors on a Compact Feature Set. ICCV Dan Oneata, Jakob Verbeek, Cordelia Schmid
2013	J	`jnl`	Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka
2013	J	`jnl`	Image Classification with the Fisher Vector: Theory and Practice. Int. J. Comput. Vis. Jorge Sánchez, Florent Perronnin, Thomas Mensink, Jakob Verbeek
2013	—	`ch.`	Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. Advanced Topics in Computer Vision Thomas Mensink, Jakob Verbeek, Florent Perronnin
2013	—	`conf`	QCompere @ REPERE 2013. SLAM@INTERSPEECH 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, Jakob Verbeek, Laurent Besacier, Georges Quénot, Hazim Kemal Ekenel, Rainer Stiefelhagen
2013	A*	`conf`	Segmentation Driven Object Detection with Fisher Vectors. ICCV Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
2013	—	`conf`	The AXES submissions at TRECVID 2013. TRECVID 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, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman
2013	J	`jnl`	Tree-Structured CRF Models for Interactive Image Labeling. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Mensink, Jakob Verbeek, Gabriela Csurka
2012	—	`conf`	AXES at TRECVID 2012: KIS, INS, and MED. TRECVID 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, Jérôme Revaud, Jochen Schwenninger, Danila Potapov, Heng Wang, Zaïd Harchaoui, Jakob Verbeek, Cordelia Schmid
2012	J	`jnl`	Face Recognition from Caption-Based Supervision. Int. J. Comput. Vis. Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
2012	—	`conf`	Fusion of Speech, Faces and Text for Person Identification in TV Broadcast. ECCV Workshops (3) 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
2012	A*	`conf`	Image categorization using Fisher kernels of non-iid image models. CVPR Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
2012	—	`conf`	Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost. ECCV (2) Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka
2011	A	`conf`	Learning Tree-structured Quantizers for Image Categorization. BMVC Josip Krapac, Jakob Verbeek, Frédéric Jurie
2011	A*	`conf`	Learning structured prediction models for interactive image labeling. CVPR Thomas Mensink, Jakob Verbeek, Gabriela Csurka
2011	A*	`conf`	Modeling spatial layout with fisher vectors for image categorization. ICCV Josip Krapac, Jakob Verbeek, Frédéric Jurie
2011	A*	`conf`	Unsupervised metric learning for face identification in TV video. ICCV Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
2010	J	`jnl`	Accurate Image Search Using the Contextual Dissimilarity Measure. IEEE Trans. Pattern Anal. Mach. Intell. Hervé Jégou, Cordelia Schmid, Hedi Harzallah, Jakob Verbeek
2010	J	`jnl`	Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields. Int. J. Comput. Vis. Diane Larlus, Jakob Verbeek, Frédéric Jurie
2010	A	`conf`	EP for Efficient Stochastic Control with Obstacles. ECAI Thomas Mensink, Jakob Verbeek, Bert Kappen
2010	—	`conf`	Image annotation with tagprop on the MIRFLICKR set. Multimedia Information Retrieval Jakob Verbeek, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid
2010	A*	`conf`	Improving web image search results using query-relative classifiers. CVPR Josip Krapac, Moray Allan, Jakob Verbeek, Frédéric Jurie
2010	—	`conf`	LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010. CLEF (Notebook Papers/LABs/Workshops) Thomas Mensink, Gabriela Csurka, Florent Perronnin, Jorge Sánchez, Jakob Verbeek
2010	A*	`conf`	Multimodal semi-supervised learning for image classification. CVPR Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid
2010	—	`conf`	Multiple Instance Metric Learning from Automatically Labeled Bags of Faces. ECCV (1) Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid
2010	A	`conf`	Trans Media Relevance Feedback for Image Autoannotation. BMVC Thomas Mensink, Jakob Verbeek, Gabriela Csurka
2009	—	`conf`	INRIA-LEAR's Participation in ImageCLEF 2009. CLEF (Working Notes) Matthijs Douze, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, Jakob Verbeek
2009	A*	`conf`	Is that you? Metric learning approaches for face identification. ICCV Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid
2009	J	`jnl`	Learning Color Names for Real-World Applications. IEEE Trans. Image Process. Joost van de Weijer, Cordelia Schmid, Jakob Verbeek, Diane Larlus
2009	A	`conf`	Ranking User-annotated Images for Multiple Query Terms. BMVC Moray Allan, Jakob Verbeek
2009	A*	`conf`	TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. ICCV Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
2008	A*	`conf`	Automatic face naming with caption-based supervision. CVPR Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid
2008	—	`conf`	Improving People Search Using Query Expansions. ECCV (2) Thomas Mensink, Jakob Verbeek
2008	—	`conf`	Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints. VISAPP (1) Hakan Cevikalp, Jakob Verbeek, Frédéric Jurie, Alexander Kläser
2007	A*	`conf`	Learning Color Names from Real-World Images. CVPR Joost van de Weijer, Cordelia Schmid, Jakob Verbeek
2007	A*	`conf`	Region Classification with Markov Field Aspect Models. CVPR Jakob Verbeek, Bill Triggs
2007	—	`conf`	Scene Segmentation with CRFs Learned from Partially Labeled Images. NIPS Jakob Verbeek, Bill Triggs
2007	A*	`conf`	Using High-Level Visual Information for Color Constancy. ICCV Joost van de Weijer, Cordelia Schmid, Jakob Verbeek
2006	J	`jnl`	Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models. IEEE Trans. Pattern Anal. Mach. Intell. Jakob Verbeek
2006	—	`conf`	Transformation invariant component analysis for binary images. CVPR (1) Zoran Zivkovic, Jakob Verbeek
2004	—	`—`	Mixture models for clustering and dimension reduction. Jakob Verbeek