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20162022
most citedLocalizing Objects with Self-Supervised Transformers and no Labels

107 citations · 148 across the 8 of their papers we have counts for

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14 papers · 1 filter

cs.CV2022

A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

Georgy Ponimatkin, Nermin Samet, Yang Xiao +3

We propose a simple, yet powerful approach for unsupervised object segmentation in videos. We introduce an objective function whose minimum represents the mask of the main salient…

cs.CV20222 cited

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

Corentin Sautier, Gilles Puy, Spyros Gidaris +3

Segmenting or detecting objects in sparse Lidar point clouds are two important tasks in autonomous driving to allow a vehicle to act safely in its 3D environment. The best performi…

cs.CV20221 cited

Deep Surface Reconstruction from Point Clouds with Visibility Information

Raphael Sulzer, Loic Landrieu, Alexandre Boulch +2

Most current neural networks for reconstructing surfaces from point clouds ignore sensor poses and only operate on raw point locations. Sensor visibility, however, holds meaningful…

cs.CV2021

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds

Anh-Quan Cao, Gilles Puy, Alexandre Boulch +1

Rigid registration of point clouds with partial overlaps is a longstanding problem usually solved in two steps: (a) finding correspondences between the point clouds; (b) filtering…

cs.CV2021107 cited

Localizing Objects with Self-Supervised Transformers and no Labels

Oriane Siméoni, Gilles Puy, Huy V. Vo +6

Localizing objects in image collections without supervision can help to avoid expensive annotation campaigns. We propose a simple approach to this problem, that leverages the activ…

cs.CV2021

PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning

Yang Xiao, Yuming Du, Renaud Marlet

Motivated by the need for estimating the 3D pose of arbitrary objects, we consider the challenging problem of class-agnostic object viewpoint estimation from images only, without C…