5 citations · 11 across the 8 of their papers we have counts for
14 papers · 1 filter
An Iterative Co-Training Transductive Framework for Zero Shot Learning
Bo Liu, Lihua Hu, Qiulei Dong +1
In zero-shot learning (ZSL) community, it is generally recognized that transductive learning performs better than inductive one as the unseen-class samples are also used in its tra…
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector
Bo Liu, Qiulei Dong, Zhanyi Hu
Zero-shot learning (ZSL) aims to recognize objects from unseen classes, where the kernel problem is to transfer knowledge from seen classes to unseen classes by establishing approp…
Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction
Pinhe Wang, Limin Shi, Bao Chen +3
How to use multiple optical satellite images to recover the 3D scene structure is a challenging and important problem in the remote sensing field. Most existing methods in literatu…
HardBoost: Boosting Zero-Shot Learning with Hard Classes
Bo Liu, Lihua Hu, Zhanyi Hu +1
This work is a systematical analysis on the so-called hard class problem in zero-shot learning (ZSL), that is, some unseen classes disproportionally affect the ZSL performances tha…
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
Shuang Deng, Bo Liu, Qiulei Dong +1
Many recent works show that a spatial manipulation module could boost the performances of deep neural networks (DNNs) for 3D point cloud analysis. In this paper, we aim to provide…
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
Shuang Deng, Qiulei Dong, Bo Liu +1
3D point cloud semantic segmentation is a challenging topic in the computer vision field. Most of the existing methods in literature require a large amount of fully labeled trainin…