All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments including social networks …
have created various computer-mediated virtual environments including social networks …
[HTML][HTML] Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges
Zero defect manufacturing (ZDM) aims at eliminating defects throughout the value stream as
well as the cost of rework and scrap. The ambitious goal of zero defects requires the …
well as the cost of rework and scrap. The ambitious goal of zero defects requires the …
Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting
While 6D object pose estimation has recently made a huge leap forward, most methods can
still only handle a single or a handful of different objects, which limits their applications. To …
still only handle a single or a handful of different objects, which limits their applications. To …
Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation
Category-level 6D object pose estimation aims to predict the position and orientation for
unseen objects, which plays a pillar role in many scenarios such as robotics and augmented …
unseen objects, which plays a pillar role in many scenarios such as robotics and augmented …
Deep fusion transformer network with weighted vector-wise keypoints voting for robust 6d object pose estimation
One critical challenge in 6D object pose estimation from a single RGBD image is efficient
integration of two different modalities, ie, color and depth. In this work, we tackle this problem …
integration of two different modalities, ie, color and depth. In this work, we tackle this problem …
Hs-pose: Hybrid scope feature extraction for category-level object pose estimation
In this paper, we focus on the problem of category-level object pose estimation, which is
challenging due to the large intra-category shape variation. 3D graph convolution (3D-GC) …
challenging due to the large intra-category shape variation. 3D graph convolution (3D-GC) …
Rbp-pose: Residual bounding box projection for category-level pose estimation
Category-level object pose estimation aims to predict the 6D pose as well as the 3D metric
size of arbitrary objects from a known set of categories. Recent methods harness shape prior …
size of arbitrary objects from a known set of categories. Recent methods harness shape prior …
Mobile augmented reality: User interfaces, frameworks, and intelligence
Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with
physical environments for mobile devices. MAR systems enable users to interact with MAR …
physical environments for mobile devices. MAR systems enable users to interact with MAR …
Occlusion-aware self-supervised monocular 6D object pose estimation
6D object pose estimation is a fundamental yet challenging problem in computer vision.
Convolutional Neural Networks (CNNs) have recently proven to be capable of predicting …
Convolutional Neural Networks (CNNs) have recently proven to be capable of predicting …
Query6dof: Learning sparse queries as implicit shape prior for category-level 6dof pose estimation
R Wang, X Wang, T Li, R Yang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Category-level 6DoF object pose estimation intends to estimate the rotation, translation, and
size of unseen objects. Many previous works use point clouds as a pre-learned shape prior …
size of unseen objects. Many previous works use point clouds as a pre-learned shape prior …