57 citations · 69 across the 11 of their papers we have counts for
11 papers
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition
Jiayin Sun, Hong Wang, Qiulei Dong
Triggered by the success of transformers in various visual tasks, the spatial self-attention mechanism has recently attracted more and more attention in the computer vision communi…
Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation
Zhengming Zhou, Qiulei Dong
Self-supervised monocular depth estimation has received much attention recently in computer vision. Most of the existing works in literature aggregate multi-scale features for dept…
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…
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…