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← Authors

Nicolas Thome

33 papers · 2013–2025 · 11 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (10)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (13) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (132) πŸ’Ž Century Club (32)

Conferences

NIPS (8) CVPR (7) ICCV (6) ECCV (4) ICLR (2) AAAI (1) ICML (1) JMLR (1) MIDL (1) NAACL (1) WACV (1)

Top co-authors

Matthieu Cord (17) ClΓ©ment Rambour (8) Vincent LE GUEN (5) Marc Lafon (4) Elias Ramzi (4) Nicolas Audebert (3) Remi Cadene (3) Hedi Ben-younes (3) Thibaut Durand (3) Γ‰loi Mehr (2)

Keywords

unsupervised learning (5) image classification (5) semantic segmentation (4) deep neural network (3) metric learning (3) deep learning (3) weakly supervised learning (3) average precision (2) feature learning (2) failure prediction (2) representation learning (2) feature fusion (2) multimodal learning (2) manifold learning (2) uncertainty quantification (2) visual question answering (2) convolutional neural network (2) multimodal fusion (2) convex optimization (1) multi-task learning (1)

Papers

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting NAACL 2025 ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025 DIP: Unsupervised Dense In-Context Post-training of Visual Representations ICCV 2025 DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis MIDL 2025 DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut NIPS 2024 GalLop: Learning global and local prompts for vision-language models ECCV 2024 Supra-Laplacian Encoding for Transformer on Dynamic Graphs NIPS 2024 Full Contextual Attention for Multi-Resolution Transformers in Semantic Segmentation WACV 2023 Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection ICML 2023 EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers ICLR 2023 Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction ECCV 2022 Hierarchical Average Precision Training for Pertinent Image Retrieval ECCV 2022 Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting ICLR 2021 Robust and Decomposable Average Precision for Image Retrieval NIPS 2021 Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction CVPR 2020 Probabilistic Time Series Forecasting with Shape and Temporal Diversity NIPS 2020 MUREL: Multimodal Relational Reasoning for Visual Question Answering CVPR 2019 Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NIPS 2019 DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing ICCV 2019 BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection AAAI 2019 Addressing Failure Prediction by Learning Model Confidence NIPS 2019 HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning ECCV 2018 Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection NIPS 2018 Manifold Learning in Quotient Spaces CVPR 2018 MUTAN: Multimodal Tucker Fusion for Visual Question Answering ICCV 2017 WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation CVPR 2017 WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks CVPR 2016 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking ICCV 2015 Fantope Regularization in Metric Learning CVPR 2014 Quadruplet-Wise Image Similarity Learning ICCV 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Top-Down Regularization of Deep Belief Networks NIPS 2013 Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis CVPR 2013