4 citations · 7 across the 4 of their papers we have counts for
4 papers
Learning Point Cloud Representations with Pose Continuity for Depth-Based Category-Level 6D Object Pose Estimation
Zhujun Li, Shuo Zhang, Ioannis Stamos
Category-level object pose estimation aims to predict the 6D pose and 3D size of objects within given categories. Existing approaches for this task rely solely on 6D poses as super…
Depth-based 6DoF Object Pose Estimation using Swin Transformer
Zhujun Li, Ioannis Stamos
Accurately estimating the 6D pose of objects is crucial for many applications, such as robotic grasping, autonomous driving, and augmented reality. However, this task becomes more…
simCrossTrans: A Simple Cross-Modality Transfer Learning for Object Detection with ConvNets or Vision Transformers
Xiaoke Shen, Ioannis Stamos
Transfer learning is widely used in computer vision (CV), natural language processing (NLP) and achieves great success. Most transfer learning systems are based on the same modalit…
Frustum VoxNet for 3D object detection from RGB-D or Depth images
Xiaoke Shen, Ioannis Stamos
Recently, there have been a plethora of classification and detection systems from RGB as well as 3D images. In this work, we describe a new 3D object detection system from an RGB-D…