← Authors

Nicolas Thome

32 papers · 2013–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (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) NAACL (1) WACV (1)

Top co-authors

Matthieu Cord (17) ClΓ©ment Rambour (7) Vincent LE GUEN (5) Marc Lafon (4) Elias Ramzi (4) Hedi Ben-younes (3) Nicolas Audebert (3) Remi Cadene (3) Thibaut Durand (3) Vincent Guitteny (2)

Keywords

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

Papers

DIP: Unsupervised Dense In-Context Post-training of Visual Representations ICCV 2025
ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting NAACL 2025
Supra-Laplacian Encoding for Transformer on Dynamic Graphs NIPS 2024
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
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
Hierarchical Average Precision Training for Pertinent Image Retrieval ECCV 2022
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction ECCV 2022
Robust and Decomposable Average Precision for Image Retrieval NIPS 2021
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting ICLR 2021
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction CVPR 2020
Probabilistic Time Series Forecasting with Shape and Temporal Diversity NIPS 2020
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
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NIPS 2019
MUREL: Multimodal Relational Reasoning for Visual Question Answering CVPR 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
Top-Down Regularization of Deep Belief Networks NIPS 2013
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis CVPR 2013
Quadruplet-Wise Image Similarity Learning ICCV 2013
JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013