Different from traditional video cameras, event cameras capture asynchro...
Light-weight time-of-flight (ToF) depth sensors are compact and
cost-eff...
Hand-object interaction understanding and the barely addressed novel vie...
Recently, Neural Radiance Fields (NeRF) has exhibited significant succes...
Despite the great success in 2D editing using user-friendly tools, such ...
Event cameras provide high temporal precision, low data rates, and high
...
Local feature matching aims at establishing sparse correspondences betwe...
Neural implicit representations have recently become popular in simultan...
This paper proposes a deep recurrent Rotation Averaging Graph Optimizer
...
Empowering autonomous agents with 3D understanding for daily objects is ...
We present intrinsic neural radiance fields, dubbed IntrinsicNeRF, that
...
Light-weight time-of-flight (ToF) depth sensors are small, cheap, low-en...
Very recently neural implicit rendering techniques have been rapidly evo...
We introduce a scalable framework for novel view synthesis from RGB-D im...
Expanding an existing tourist photo from a partially captured scene to a...
We, as human beings, can understand and picture a familiar scene from
ar...
Video Panoptic Segmentation (VPS) requires generating consistent panopti...
3D representation and reconstruction of human bodies have been studied f...
In deep multi-view stereo networks, cost regularization is crucial to ac...
Implicit neural rendering techniques have shown promising results for no...
We present a deep learning pipeline that leverages network self-prior to...
In this paper, we aim at improving the computational efficiency of graph...
This paper presents a method for riggable 3D face reconstruction from
mo...
We present a new pipeline for holistic 3D scene understanding from a sin...
Accurately describing and detecting 2D and 3D keypoints is crucial to
es...
We present a novel method for synthesizing both temporally and geometric...
To understand human daily social interaction from egocentric perspective...
Previous methods on estimating detailed human depth often require superv...
In this paper, we present an omnidirectional localization and dense mapp...
We propose a differentiable sphere tracing algorithm to bridge the gap
b...
In this paper, we propose a deep learning architecture that produces acc...
Visual localization, i.e., determining the position and orientation of a...
We present a real-time dense geometric mapping algorithm for large-scale...
Project AutoVision aims to develop localization and 3D scene perception
...
This paper derives a novel linear position constraint for cameras seeing...