Object rearrangement is pivotal in robotic-environment interactions,
rep...
Reconstructing hand-held objects from a single RGB image is an important...
In this paper, we present a novel shape reconstruction method leveraging...
In this paper, we propose U-RED, an Unsupervised shape REtrieval and
Def...
For autonomous vehicles, driving safely is highly dependent on the capab...
The ability to generate highly realistic 2D images from mere text prompt...
With the introduction of Neural Radiance Fields (NeRFs), novel view synt...
Reliable multi-agent trajectory prediction is crucial for the safe plann...
In this paper, we introduce neural texture learning for 6D object pose
e...
Neural Radiance Field (NeRF) has recently emerged as a powerful
represen...
Despite monocular 3D object detection having recently made a significant...
6-DoF robotic grasping is a long-lasting but unsolved problem. Recent me...
Category-level pose estimation is a challenging problem due to intra-cla...
Category-level object pose estimation aims to predict the 6D pose as wel...
6D object pose estimation is a fundamental yet challenging problem in
co...
While 6D object pose estimation has recently made a huge leap forward, m...
Monocular 3D object detection continues to attract attention due to the ...
The ability to successfully grasp objects is crucial in robotics, as it
...
With the advent of deep learning, estimating depth from a single RGB ima...
Controllable scene synthesis consists of generating 3D information that
...
Directly regressing all 6 degrees-of-freedom (6DoF) for the object pose ...
6D pose estimation from a single RGB image is a fundamental task in comp...
Estimating the 6D object pose is a fundamental problem in computer visio...
Contemporary monocular 6D pose estimation methods can only cope with a
h...
We present a deep learning method for end-to-end monocular 3D object
det...
3D object detection and pose estimation from a single image are two
inhe...
We present a novel approach for model-based 6D pose refinement in color ...
We propose a benchmark for 6D pose estimation of a rigid object from a s...
We present a novel method for detecting 3D model instances and estimatin...