Search Results for author: Clément Rambour

Found 11 papers, 7 papers with code

Urban Surface Reconstruction in SAR Tomography by Graph-Cuts

no code implementations12 Mar 2021 Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot, Yue Huang, Laurent Ferro-Famil

This segmentation process can be included within the 3-D reconstruction framework in order to improve the recovery of urban surfaces.

Segmentation Surface Reconstruction

Hierarchical Average Precision Training for Pertinent Image Retrieval

1 code implementation5 Jul 2022 Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot

Image Retrieval is commonly evaluated with Average Precision (AP) or Recall@k. Yet, those metrics, are limited to binary labels and do not take into account errors' severity.

Image Retrieval Metric Learning

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction

1 code implementation8 Jul 2022 Vincent Le Guen, Clément Rambour, Nicolas Thome

Since BC is an approximate physical model violated in several situations, we propose to train a physically-constrained network complemented with a data-driven network.

Optical Flow Estimation Uncertainty Quantification

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection

1 code implementation26 May 2023 Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome

HEAT complements prior density estimators of the ID density, e. g. parametric models like the Gaussian Mixture Model (GMM), to provide an accurate yet robust density estimation.

Density Estimation Out-of-Distribution Detection +1

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing

no code implementations14 Jun 2023 Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome

Recently, diffusion-based generative models have achieved remarkable success for image generation and edition.

Image Generation Video Editing

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks

1 code implementation13 Jul 2023 Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome

Vision-language foundation models such as CLIP have shown impressive zero-shot performance on many tasks and datasets, especially thanks to their free-text inputs.

Attribute

Energy Correction Model in the Feature Space for Out-of-Distribution Detection

no code implementations15 Mar 2024 Marc Lafon, Clément Rambour, Nicolas Thome

In this work, we study the out-of-distribution (OOD) detection problem through the use of the feature space of a pre-trained deep classifier.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

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