4 citations · 4 across the 3 of their papers we have counts for
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cs.CV2025
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…
cs.CV2023
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…
cs.CV2022★ 4 cited
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…