Xin Liu

According to our database, Xin Liu authored at least 18 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition.

Rong Qin, Xin Liu, Xingyu Liu, Jiaxuan Liu, Jinglei Shi, Liang Lin, Jufeng Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

T-Net++: Effective Permutation-Equivariance Network for Two-View Correspondence Pruning.

Guobao Xiao, Xin Liu, Zhen Zhong, Xiaoqin Zhang, Jiayi Ma, Haibin Ling

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

NCMNet: Neighbor Consistency Mining Network for Two-View Correspondence Pruning.

Xin Liu, Rong Qin, Junchi Yan, Jufeng Yang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Progressive correspondence learning by effective multi-channel aggregation.

Xin Liu, Shunxing Chen, Guobao Xiao, Changcai Yang, Riqing Chen

Neurocomputing, 2024

2023

PGFNet: Preference-Guided Filtering Network for Two-View Correspondence Learning.

Xin Liu, Guobao Xiao, Riqing Chen, Jiayi Ma

IEEE Trans. Image Process., 2023

PG-Net: Progressive Guidance Network via Robust Contextual Embedding for Efficient Point Cloud Registration.

Jingtao Wang, Xin Liu, Luanyuan Dai, Jiayi Ma, Lifang Wei, Changcai Yang, Riqing Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Progressive Neighbor Consistency Mining for Correspondence Pruning.

Xin Liu, Jufeng Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

RANet: A relation-aware network for two-view correspondence learning.

Guorong Lin, Xin Liu, Fangfang Lin, Guobao Xiao, Jiayi Ma

Neurocomputing, 2022

2021

MANet: Multi-Scale Attention Network for Correspondence Learning.

Yukai Chen, Linxin Zheng, Xin Liu, Guobao Xiao

IEEE Signal Process. Lett., 2021

Point2CN: Progressive two-view correspondence learning via information fusion.

Xin Liu, Guobao Xiao, Zuoyong Li, Riqing Chen

Signal Process., 2021

SCSA-Net: Presentation of two-view reliable correspondence learning via spatial-channel self-attention.

Xin Liu, Guobao Xiao, Luanyuan Dai, Kun Zeng, Changcai Yang, Riqing Chen

Neurocomputing, 2021

Enhancing two-view correspondence learning by local-global self-attention.

Luanyuan Dai, Xin Liu, Yizhang Liu, Changcai Yang, Lifang Wei, Yaohai Lin, Riqing Chen

Neurocomputing, 2021

Learning Two-View Correspondences and Geometry via Local Neighborhood Correlation.

Luanyuan Dai, Xin Liu, Jingtao Wang, Changcai Yang, Riqing Chen

Entropy, 2021

2019

Robust Feature Matching via Two Constraints Interaction.

Yizhang Liu, Yanping Li, Zheling Xu, Xiaoliang Lu, Xin Liu, Luanyuan Dai, Xiong Pan, Changcai Yang

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Deep Convolutional Network for Citrus Leaf Diseases Recognition.

Quan Chen, Xin Liu, Caixia Dong, Tong Tong, Changcai Yang, Riqing Chen, Tengyue Zou, Xiaolang Yang

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning.

Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types.

Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets.

Xin Liu, Junchi Yan, Xiangfeng Wang, Hongyuan Zha

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016