no code implementations • 13 Feb 2022 • En Yen Puang, Hao Zhang, Hongyuan Zhu, Wei Jing
In this paper we present SA-CNN, a hierarchical and lightweight self-attention based encoding and decoding architecture for representation learning of point cloud data.
no code implementations • 12 Feb 2022 • Tianying Wang, En Yen Puang, Marcus Lee, Yan Wu, Wei Jing
The proposed method learns keypoints from camera images as the state representation, through a self-supervised autoencoder architecture.
1 code implementation • 28 Jul 2020 • En Yen Puang, Keng Peng Tee, Wei Jing
We train the deep neural network only in the simulated environment; and the trained model could be directly used for real-world visual servoing tasks.
1 code implementation • CVPR 2020 • Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O. Arras, Rudolph Triebel
We introduce a scalable approach for object pose estimation trained on simulated RGB views of multiple 3D models together.