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Tianqi Fan

2 accepted papers

2020

Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry

ECCV 2020poster

Deep implicit field regression methods are effective for 3D reconstruction from single-view images. However, the impact of different sampling patterns on the reconstruction quality is not well-understood. In this work, we first study the effect of point set discrepancy on the network training. Based…

Cited by 0SourcePDFScholar
2018

SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters

ECCV 2018poster

Deep neural networks have enjoyed remarkable success for various vision tasks, however it remains challenging to apply CNNs to domains lacking a regular underlying structures such as 3D point clouds. Towards this we propose a novel convolutional architecture, termed SpiderCNN, to efficiently extract…

Cited by 1022SourcePDFScholar