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Foundationpose: Unified 6d pose estimation and tracking of novel objects
We present FoundationPose a unified foundation model for 6D object pose estimation and
tracking supporting both model-based and model-free setups. Our approach can be instantly …
tracking supporting both model-based and model-free setups. Our approach can be instantly …
Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects
We present a near real-time (10Hz) method for 6-DoF tracking of an unknown object from a
monocular RGBD video sequence, while simultaneously performing neural 3D …
monocular RGBD video sequence, while simultaneously performing neural 3D …
Anygrasp: Robust and efficient grasp perception in spatial and temporal domains
As the basis for prehensile manipulation, it is vital to enable robots to grasp as robustly as
humans. Our innate gras** system is prompt, accurate, flexible, and continuous across …
humans. Our innate gras** system is prompt, accurate, flexible, and continuous across …
Deep learning-based object pose estimation: A comprehensive survey
Object pose estimation is a fundamental computer vision problem with broad applications in
augmented reality and robotics. Over the past decade, deep learning models, due to their …
augmented reality and robotics. Over the past decade, deep learning models, due to their …
Onepose: One-shot object pose estimation without cad models
We propose a new method named OnePose for object pose estimation. Unlike existing
instance-level or category-level methods, OnePose does not rely on CAD models and can …
instance-level or category-level methods, OnePose does not rely on CAD models and can …
Hoi4d: A 4d egocentric dataset for category-level human-object interaction
We present HOI4D, a large-scale 4D egocentric dataset with rich annotations, to catalyze the
research of category-level human-object interaction. HOI4D consists of 2.4 M RGB-D …
research of category-level human-object interaction. HOI4D consists of 2.4 M RGB-D …
Mimicgen: A data generation system for scalable robot learning using human demonstrations
Imitation learning from a large set of human demonstrations has proved to be an effective
paradigm for building capable robot agents. However, the demonstrations can be extremely …
paradigm for building capable robot agents. However, the demonstrations can be extremely …
Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images
In this paper, we present a generalizable model-free 6-DoF object pose estimator called
Gen6D. Existing generalizable pose estimators either need the high-quality object models or …
Gen6D. Existing generalizable pose estimators either need the high-quality object models or …
Visibility aware human-object interaction tracking from single rgb camera
Capturing the interactions between humans and their environment in 3D is important for
many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D …
many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D …
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) …