5 papers
Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo
Hongjie Li, Yao Guo, Xianwei Zheng +1
This paper introduces a learnable Deformable Hypothesis Sampler (DeformSampler) to address the challenging issue of noisy depth estimation for accurate PatchMatch Multi-View Stereo…
Shape Anchor Guided Holistic Indoor Scene Understanding
Mingyue Dong, Linxi Huan, Hanjiang Xiong +2
This paper proposes a shape anchor guided learning strategy (AncLearn) for robust holistic indoor scene understanding. We observe that the search space constructed by current metho…
Holistic Geometric Feature Learning for Structured Reconstruction
Ziqiong Lu, Linxi Huan, Qiyuan Ma +1
The inference of topological principles is a key problem in structured reconstruction. We observe that wrongly predicted topological relationships are often incurred by the lack of…
Unmixing Convolutional Features for Crisp Edge Detection
Linxi Huan, Nan Xue, Xianwei Zheng +3
This paper presents a context-aware tracing strategy (CATS) for crisp edge detection with deep edge detectors, based on an observation that the localization ambiguity of deep edge…
ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation
Xianwei Zheng, Linxi Huan, Hanjiang Xiong +1
Semantic segmentation has been a hot topic across diverse research fields. Along with the success of deep convolutional neural networks, semantic segmentation has made great achiev…