Augmented reality (AR) has proven to be an invaluable interactive medium to reduce
cognitive load by bridging the gap between the task-at-hand and relevant information by …

High-speed 3D shape measurement (or imaging) has seen tremendous growths over the
past decades, especially the past few years due to the improved speed of computing …

We present cross-view transformers, an efficient attention-based model for map-view
semantic segmentation from multiple cameras. Our architecture implicitly learns a mapping …

This work presents a Multi-View Stereo system for robust and efficient dense modeling from
unstructured image collections. Our core contributions are the joint estimation of depth and …

We present a new, massively parallel method for high-quality multiview matching. Our work
builds on the Patchmatch idea: starting from randomly generated 3D planes in scene space …

Long-term temporal fusion is a crucial but often overlooked technique in camera-based
Bird's-Eye-View (BEV) 3D perception. Existing methods are mostly in a parallel manner …

Compared to DSLR cameras, smartphone cameras have smaller sensors, which limits their
spatial resolution; smaller apertures, which limits their light gathering ability; and smaller …

In this paper, we propose an efficient multi-scale geometric consistency guided multi-view
stereo method for accurate and complete depth map estimation. We first present our basic …

In this paper, we propose some efficient multi-view stereo methods for accurate and
complete depth map estimation. We first present our basic methods with Adaptive …

Monocular depth estimation aims at estimating a pixelwise depth map for a single image,
which has wide applications in scene understanding and autonomous driving. Existing …