Monocular depth estimation is a fundamental computer vision task. Recovering 3D depth
from a single image is geometrically ill-posed and requires scene understanding so it is not …

Virtual reality and augmented reality (XR) bring increasing demand for 3D content
generation. However, creating high-quality 3D content requires tedious work from a human …

We propose a simple yet effective instance segmentation framework, termed CondInst
(conditional convolutions for instance segmentation). Top-performing instance segmentation …

Despite significant progress in monocular depth estimation in the wild, recent state-of-the-art
methods cannot be used to recover accurate 3D scene shape due to an unknown depth shift …

3D reconstruction is a long-standing research topic in the photogrammetric and computer
vision communities; although a plethora of open-source and commercial solutions for 3D …

Monocular depth prediction plays a crucial role in understanding 3D scene geometry.
Although recent methods have achieved impressive progress in the evaluation metrics such …

Gaze behaviors such as eye-contact or shared attention are important markers for
diagnosing developmental disorders in children. While previous studies have looked at …

Despite significant progress made in the past few years, challenges remain for depth
estimation using a single monocular image. First, it is nontrivial to train a metric-depth …

This paper discusses the results for the second edition of the Monocular Depth Estimation
Challenge (MDEC). This edition was open to methods using any form of supervision …

Automated object identification in three‐dimensional (3D) space is crucial for work zone
safety, such as compliance with construction rules and preventing workplace injuries and …