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20152026
most citedR2D2: Repeatable and Reliable Detector and Descriptor

356 citations · 1.3k across the 40 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Cross-view and Cross-pose Completion for 3D Human Understanding

Matthieu Armando, Salma Galaaoui, Fabien Baradel +5

Human perception and understanding is a major domain of computer vision which, like many other vision subdomains recently, stands to gain from the use of large models pre-trained o…

cs.CV2023

Win-Win: Training High-Resolution Vision Transformers from Two Windows

Vincent Leroy, Jerome Revaud, Thomas Lucas +1

Transformers have become the standard in state-of-the-art vision architectures, achieving impressive performance on both image-level and dense pixelwise tasks. However, training vi…

cs.CV2023★ 1 cited

End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon

Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii +2

Most recent work in goal oriented visual navigation resorts to large-scale machine learning in simulated environments. The main challenge lies in learning compact representations g…

cs.CV2023

SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction

Anilkumar Swamy, Vincent Leroy, Philippe Weinzaepfel +6

Recent hand-object interaction datasets show limited real object variability and rely on fitting the MANO parametric model to obtain groundtruth hand shapes. To go beyond these lim…

cs.CV2023

PoseFix: Correcting 3D Human Poses with Natural Language

Ginger Delmas, Philippe Weinzaepfel, Francesc Moreno-Noguer +1

Automatically producing instructions to modify one's posture could open the door to endless applications, such as personalized coaching and in-home physical therapy. Tackling the r…

cs.CV2023★ 2 cited

SACReg: Scene-Agnostic Coordinate Regression for Visual Localization

Jerome Revaud, Yohann Cabon, Romain Brégier +2

Scene coordinates regression (SCR), i.e., predicting 3D coordinates for every pixel of a given image, has recently shown promising potential. However, existing methods remain limit…