Yi-Chang Lu — accepted AI-conference papers

2022

CF-Net: Complementary Fusion Network for Rotation Invariant Point Cloud Completion

ICASSP 2022accepted

Real-world point clouds usually have inconsistent orientations and often suffer from data missing issues. To solve this problem, we design a neural network, CF-Net, to address challenges in rotation invariant completion. In our network, we modify and integrate complementary operators to extract feat…

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2017

Deep Co-Occurrence Feature Learning for Visual Object Recognition

Ya-Fang Shih, Yang-Ming Yeh, Yen-Yu Lin, Ming-Fang Weng, Yi-Chang Lu, Yung-Yu Chuang

CVPR 2017poster

This paper addresses three issues in integrating part-based representations into convolutional neural networks (CNNs) for object recognition. First, most part-based models rely on a few pre-specified object parts. However, the optimal object parts for recognition often vary from category to category…

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