Human action recognition and posture prediction aim to recognize and predict respectively
the action and postures of persons in videos. They are both active research topics in …

In recent years, neural implicit surface reconstruction methods have become popular for
multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these …

Monocular depth estimation is fundamental for 3D scene understanding and downstream
applications. However, even under the supervised setup, it is still challenging and ill-posed …

Reconstructing the 3D shape of an object from a single RGB image is a long-standing
problem in computer vision. In this paper, we propose a novel method for single-image 3D …

Monocular depth estimation is vital for scene understanding and downstream tasks. We
focus on the supervised setup, in which ground-truth depth is available only at training time …

Recently, there has been growing interest in develo** learning-based methods to detect
and utilize salient semi-global or global structures, such as junctions, lines, planes, cuboids …

In this letter a low-drift monocular SLAM method is proposed targeting indoor scenarios,
where monocular SLAM often fails due to the lack of textured surfaces. Our approach …

Self-supervised monocular depth estimation has achieved impressive performance on
outdoor datasets. Its performance however degrades notably in indoor environments …

We present a novel framework named PlaneMVS for 3D plane reconstruction from multiple
input views with known camera poses. Most previous learning-based plane reconstruction …

This paper tackles the unsupervised depth estimation task in indoor environments. The task
is extremely challenging because of the vast areas of non-texture regions in these scenes …