In this paper, we propose a novel network, SVDFormer, to tackle two spec...
Various recent methods attempt to implement rotation-invariant 3D deep
l...
Additive manufacturing of metal parts involves phase transformations and...
Object pose estimation is an important topic in 3D vision. Though most
c...
This paper presents a general one-shot object localization algorithm cal...
Bilateral filter (BF) is a fast, lightweight and effective tool for imag...
We propose PSFormer, an effective point transformer model for 3D salient...
How will you repair a physical object with large missings? You may first...
6D pose estimation of rigid objects from RGB-D images is crucial for obj...
Snow is one of the toughest adverse weather conditions for object detect...
In this paper, we tackle the problem of category-level 9D pose estimatio...
We present a simple but effective attention named the unary-pairwise
att...
Pixel-level 2D object semantic understanding is an important topic in
co...
Point cloud analysis without pose priors is very challenging in real
app...
Camouflaged object detection is a challenging task that aims to identify...
Lattice structures have been widely used in various applications of addi...
3D object detection has attracted much attention thanks to the advances ...
Keypoint detection is an essential component for the object registration...
Visual semantic correspondence is an important topic in computer vision ...
Detecting 3D objects keypoints is of great interest to the areas of both...
Fine-grained semantic understanding of 3D objects is crucial in many
app...
Background: Loop closure detection is a crucial part in robot navigation...
To achieve robust and accurate state estimation for robot navigation, we...
In this paper we study grasp problem in dense cluster, a challenging tas...
Robotic grasp detection is a fundamental capability for intelligent
mani...
Inspired by natural cellular materials such as trabecular bone, lattice
...
This paper focuses on robotic picking tasks in cluttered scenario. Becau...
Deep reinforcement learning (DRL) has gained a lot of attention in recen...
In recent years, point clouds have earned quite some research interests ...