activity
20182026
most citedAttention Model Enhanced Network for Classification of Breast Cancer Image

2 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation

Xuening Zhang, Qi Lv, Xiang Deng +3

View transformers process multi-view observations to predict actions and have shown impressive performance in robotic manipulation. Existing methods typically extract static visual…

cs.LG2024

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation

Fan Wang, Zhongyi Han, Xingbo Liu +2

In domain adaptation, there are two popular paradigms: Unsupervised Domain Adaptation (UDA), which aligns distributions using source data, and Source-Free Domain Adaptation (SFDA),…

cs.CV2020★ 2 cited

Attention Model Enhanced Network for Classification of Breast Cancer Image

Xiao Kang, Xingbo Liu, Xiushan Nie +2

Breast cancer classification remains a challenging task due to inter-class ambiguity and intra-class variability. Existing deep learning-based methods try to confront this challeng…

cs.CV2020

Learning Binary Semantic Embedding for Histology Image Classification and Retrieval

Xiao Kang, Xingbo Liu, Xiushan Nie +1

With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive rese…

cs.MM2020★ 2 cited

Reinforcing Short-Length Hashing

Xingbo Liu, Xiushan Nie, Qi Dai +2

Due to the compelling efficiency in retrieval and storage, similarity-preserving hashing has been widely applied to approximate nearest neighbor search in large-scale image retriev…

cs.CV2019★ 2 cited

Mutual Linear Regression-based Discrete Hashing

Xingbo Liu, Xiushan Nie, Yilong Yin

Label information is widely used in hashing methods because of its effectiveness of improving the precision. The existing hashing methods always use two different projections to re…

cs.DS2018

Fusion Hashing: A General Framework for Self-improvement of Hashing

Xingbo Liu, Xiushan Nie, Yilong Yin

Hashing has been widely used for efficient similarity search based on its query and storage efficiency. To obtain better precision, most studies focus on designing different object…