Renaud Marlet

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Ecole nationale des Ponts et Chausses

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

Detecting objects and estimating their viewpoint in images are key tasks...
07/23/2020 ∙ by Yang Xiao, et al. ∙ 0 ∙ share

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Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference Application

We formalize concepts around geometric occlusion in 2D images (i.e., ign...
07/23/2020 ∙ by Xuchong Qiu, et al. ∙ 5 ∙ share

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FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

We propose and study a method called FLOT that estimates scene flow on p...
07/22/2020 ∙ by Gilles Puy, et al. ∙ 0 ∙ share

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Spherical Perspective on Learning with Batch Norm

Batch Normalization (BN) is a prominent deep learning technique. In spit...
06/23/2020 ∙ by Simon Roburin, et al. ∙ 25 ∙ share

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LightConvPoint: convolution for points

Recent state-of-the-art methods for point cloud semantic segmentation ar...
04/09/2020 ∙ by Alexandre Boulch, et al. ∙ 8 ∙ share

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Surface Reconstruction from 3D Line Segments

In man-made environments such as indoor scenes, when point-based 3D reco...
11/01/2019 ∙ by Pierre-Alain Langlois, et al. ∙ 45 ∙ share

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Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects

Most deep pose estimation methods need to be trained for specific object...
06/12/2019 ∙ by Yang Xiao, et al. ∙ 1 ∙ share

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Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration

Localizing an object accurately with respect to a robot is a key step fo...
02/07/2019 ∙ by Vianney Loing, et al. ∙ 0 ∙ share

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Robust SfM with Little Image Overlap

Usual Structure-from-Motion (SfM) techniques require at least trifocal o...
03/23/2017 ∙ by Yohann Salaun, et al. ∙ 0 ∙ share

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Crafting a multi-task CNN for viewpoint estimation

Convolutional Neural Networks (CNNs) were recently shown to provide stat...
09/13/2016 ∙ by Francisco Massa, et al. ∙ 0 ∙ share

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Efficient 2D and 3D Facade Segmentation using Auto-Context

This paper introduces a fast and efficient segmentation technique for 2D...
06/21/2016 ∙ by Raghudeep Gadde, et al. ∙ 0 ∙ share

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Convolutional Neural Networks for joint object detection and pose estimation: A comparative study

In this paper we study the application of convolutional neural networks ...
12/22/2014 ∙ by Francisco Massa, et al. ∙ 0 ∙ share

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Renaud Marlet

Featured Co-authors

Patrick Pérez

Varun Jampani

Mathieu Aubry

Yang Xiao

Alexandre Boulch

Peter V. Gehler

Gilles Puy

Andrei Bursuc

Francisco Massa

Chaohui Wang

Raghudeep Gadde

Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference Application

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

Spherical Perspective on Learning with Batch Norm

LightConvPoint: convolution for points

Surface Reconstruction from 3D Line Segments

Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects

Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration

Robust SfM with Little Image Overlap

Crafting a multi-task CNN for viewpoint estimation

Efficient 2D and 3D Facade Segmentation using Auto-Context

Convolutional Neural Networks for joint object detection and pose estimation: A comparative study