36 citations · 49 across the 5 of their papers we have counts for
5 papers
NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies
Xiaoxiao Long, Cheng Lin, Lingjie Liu +5
We present a novel method, called NeuralUDF, for reconstructing surfaces with arbitrary topologies from 2D images via volume rendering. Recent advances in neural rendering based re…
A Novel Plug-in Module for Fine-Grained Visual Classification
Po-Yung Chou, Cheng-Hung Lin, Wen-Chung Kao
Visual classification can be divided into coarse-grained and fine-grained classification. Coarse-grained classification represents categories with a large degree of dissimilarity,…
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Cheng Lin, Changjian Li, Yuan Liu +3
We introduce Point2Skeleton, an unsupervised method to learn skeletal representations from point clouds. Existing skeletonization methods are limited to tubular shapes and the stri…
Adaptive Compact Attention For Few-shot Video-to-video Translation
Risheng Huang, Li Shen, Xuan Wang +2
This paper proposes an adaptive compact attention model for few-shot video-to-video translation. Existing works in this domain only use features from pixel-wise attention without c…
Learnable Motion Coherence for Correspondence Pruning
Yuan Liu, Lingjie Liu, Cheng Lin +2
Motion coherence is an important clue for distinguishing true correspondences from false ones. Modeling motion coherence on sparse putative correspondences is challenging due to th…