Thome, Nicolas

40 publications

NeurIPS 2025 CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation Marc Lafon, Gustavo Adolfo Vargas Hakim, Clément Rambour, Christian Desrosiers, Nicolas Thome

ICCV 2025 DIP: Unsupervised Dense In-Context Post-Training of Visual Representations Sophia Sirko-Galouchenko, Spyros Gidaris, Antonin Vobecky, Andrei Bursuc, Nicolas Thome

NeurIPS 2025 JAFAR: Jack up Any Feature at Any Resolution Paul Couairon, Loick Chambon, Louis Serrano, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome

ICCV 2025 ViLU: Learning Vision-Language Uncertainties for Failure Prediction Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez, Paul Couairon, Clément Rambour, Raphael Fournier-Sniehotta, Ismail Ben Ayed, Jose Dolz, Nicolas Thome

NeurIPS 2024 DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome

ECCV 2024 GalLop: Learning Global and Local Prompts for Vision-Language Models Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome

TMLR 2024 ITEM: Improving Training and Evaluation of Message-Passing Based GNNs for Top-K Recommendation Yannis Karmim, Elias Ramzi, Raphael Fournier-S'niehotta, Nicolas Thome

NeurIPS 2024 Supra-Laplacian Encoding for Transformer on Dynamic Graphs Yannis Karmim, Marc Lafon, Raphaël Fournier S'niehotta, Nicolas Thome

TMLR 2024 VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome

ICLR 2023 EAGLE: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers Steeven Janny, Aurélien Bénéteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf

WACV 2023 Full Contextual Attention for Multi-Resolution Transformers in Semantic Segmentation Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler

ICML 2023 Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome

ECCV 2022 Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction Vincent Le Guen, Clément Rambour, Nicolas Thome

NeurIPSW 2022 HEAT: Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon, Clément Rambour, Nicolas Thome

ECCV 2022 Hierarchical Average Precision Training for Pertinent Image Retrieval Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot

NeurIPSW 2022 Residual Model-Based Reinforcement Learning for Physical Dynamics Zakariae El Asri, Clément Rambour, Vincent Le Guen, Nicolas Thome

CVPRW 2022 Towards Efficient Feature Sharing in MIMO Architectures Rémy Sun, Alexandre Ramé, Clément Masson, Nicolas Thome, Matthieu Cord

ICLR 2021 Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin, Vincent Le Guen, Jérémie Dona, Emmanuel de Bezenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari

NeurIPS 2021 Robust and Decomposable Average Precision for Image Retrieval Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot

CVPRW 2020 A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images Vincent Le Guen, Nicolas Thome

NeurIPS 2020 Probabilistic Time Series Forecasting with Shape and Temporal Diversity Vincent Le Guen, Nicolas Thome

NeurIPS 2019 Addressing Failure Prediction by Learning Model Confidence Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez

AAAI 2019 BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord

NeurIPS 2019 Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Vincent Le Guen, Nicolas Thome

ECCV 2018 HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning Thomas Robert, Nicolas Thome, Matthieu Cord

NeurIPS 2018 Revisiting Multi-Task Learning with ROCK: A Deep Residual Auxiliary Block for Visual Detection Taylor Mordan, Nicolas Thome, Gilles Henaff, Matthieu Cord

ICCV 2017 MUTAN: Multimodal Tucker Fusion for Visual Question Answering Hedi Ben-younes, Remi Cadene, Matthieu Cord, Nicolas Thome

CVPR 2017 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord

CVPR 2016 WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks Thibaut Durand, Nicolas Thome, Matthieu Cord

CVPRW 2015 Absolute Geo-Localization Thanks to Hidden Markov Model and Exemplar-Based Metric Learning Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche

ICCV 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking Thibaut Durand, Nicolas Thome, Matthieu Cord

CVPR 2014 Fantope Regularization in Metric Learning Marc T. Law, Nicolas Thome, Matthieu Cord

ICLR 2014 Sequentially Generated Instance-Dependent Image Representations for Classification Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari

CVPR 2013 Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis Christian Theriault, Nicolas Thome, Matthieu Cord

MLOSS 2013 JKernelMachines: A Simple Framework for Kernel Machines David Picard, Nicolas Thome, Matthieu Cord

ICCV 2013 Quadruplet-Wise Image Similarity Learning Marc T. Law, Nicolas Thome, Matthieu Cord

NeurIPS 2013 Top-Down Regularization of Deep Belief Networks Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim

ECCV 2012 Hybrid Pooling Fusion in the BoW Pipeline Marc T. Law, Nicolas Thome, Matthieu Cord

ECCVW 2012 Hybrid Pooling Fusion in the BoW Pipeline Marc T. Law, Nicolas Thome, Matthieu Cord

ECCV 2012 Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim