11 citations · 12 across the 5 of their papers we have counts for
5 papers
Physics-inspired Energy Transition Neural Network for Sequence Learning
Zhou Wu, Junyi An, Baile Xu +2
Recently, the superior performance of Transformers has made them a more robust and scalable solution for sequence modeling than traditional recurrent neural networks (RNNs). Howeve…
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
Liang Pan, Tong Wu, Zhongang Cai +26
As real-scanned point clouds are mostly partial due to occlusions and viewpoints, reconstructing complete 3D shapes based on incomplete observations becomes a fundamental problem f…
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
Junyi An, Fengshan Liu, Jian Zhao +1
Convolutional neural network (CNN) is a class of artificial neural networks widely used in computer vision tasks. Most CNNs achieve excellent performance by stacking certain types…
IC Neuron: An Efficient Unit to Construct Neural Networks
Junyi An, Fengshan Liu, Jian Zhao +1
As a popular machine learning method, neural networks can be used to solve many complex tasks. Their strong generalization ability comes from the representation ability of the basi…
IC-Network: Efficient Structure for Convolutional Neural Networks
Junyi An, Fengshan Liu, Jian Zhao +1
Neural networks have been widely used, and most networks achieve excellent performance by stacking certain types of basic units. Compared to increasing the depth and width of the n…