Dense SLAM based on monocular cameras does indeed have immense applicati...
Different from traditional video cameras, event cameras capture asynchro...
Light-weight time-of-flight (ToF) depth sensors are compact and
cost-eff...
Recently, Neural Radiance Fields (NeRF) has exhibited significant succes...
We present DiffRoom, a novel framework for tackling the problem of
high-...
In real-world applications, it is essential to jointly estimate the 3D o...
Camouflaged objects are typically assimilated into their backgrounds and...
Despite the great success in 2D editing using user-friendly tools, such ...
Performing accurate localization while maintaining the low-level
communi...
Event cameras provide high temporal precision, low data rates, and high
...
Local feature matching aims at establishing sparse correspondences betwe...
Structure-from-Motion is a technology used to obtain scene structure thr...
Feature matching is an essential step in visual localization, where the
...
Most matting researches resort to advanced semantics to achieve high-qua...
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...
We tackle the problem of estimating correspondences from a general marke...
Virtual content creation and interaction play an important role in moder...
Very recently neural implicit rendering techniques have been rapidly evo...
Expanding an existing tourist photo from a partially captured scene to a...
In this paper, we propose a tightly-coupled SLAM system fused with RGB,
...
We propose a new method named OnePose for object pose estimation. Unlike...
This paper addresses the challenge of reconstructing 3D indoor scenes fr...
We, as human beings, can understand and picture a familiar scene from
ar...
6-DoF object pose estimation from a monocular image is challenging, and ...
Video Panoptic Segmentation (VPS) requires generating consistent panopti...
The correct ego-motion estimation basically relies on the understanding ...
Recent work has begun to explore the potential of parametrized quantum
c...
Smart weeding systems to perform plant-specific operations can contribut...
3D representation and reconstruction of human bodies have been studied f...
Implicit neural rendering techniques have shown promising results for no...
Visual localization is of great importance in robotics and computer visi...
We tackle the problem of estimating flow between two images with large
l...
Quantum properties, such as entanglement and coherence, are indispensabl...
Recent learning-based LiDAR odometry methods have demonstrated their
com...
Depth completion aims to recover dense depth maps from sparse depth
meas...
In this paper, we present a quantum singular value decomposition algorit...
In this paper, we present RKD-SLAM, a robust keyframe-based dense SLAM
a...