Search Results for author: Yongcheng Liu

Found 4 papers, 4 papers with code

Relation-Shape Convolutional Neural Network for Point Cloud Analysis

4 code implementations CVPR 2019 Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan

Specifically, the convolutional weight for local point set is forced to learn a high-level relation expression from predefined geometric priors, between a sampled point from this point set and the others.

Ranked #14 on 3D Part Segmentation on ShapeNet-Part (Instance Average IoU metric)

3D Part Segmentation 3D Point Cloud Classification

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection

1 code implementation16 Sep 2018 Yongcheng Liu, Lu Sheng, Jing Shao, Junjie Yan, Shiming Xiang, Chunhong Pan

Specifically, given the image-level annotations, (1) we first develop a weakly-supervised detection (WSD) model, and then (2) construct an end-to-end multi-label image classification framework augmented by a knowledge distillation module that guides the classification model by the WSD model according to the class-level predictions for the whole image and the object-level visual features for object RoIs.

General Classification Knowledge Distillation +2

Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network

1 code implementation30 Jul 2018 Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan

Specifically, for confusing manmade objects, ScasNet improves the labeling coherence with sequential global-to-local contexts aggregation.

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