Han Su

According to our database, Han Su authored at least 23 papers between 2005 and 2024.

Collaborative distances:

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

2024

Few-shot classification with multisemantic information fusion network.

Ruixuan Gao, Han Su, Shitala Prasad, Peisen Tang

Image Vis. Comput., January, 2024

Few-Shot Classification Based on Feature Enhancement Network.

Shasha Hu, Han Su, Ruixuan Gao

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Age Estimation of Giant Pandas Based on Narrowed Window Ordered Regression.

Zihao Zhang, Han Su, Rong Hou, Pengcheng Wu, Ping Xu, Peng Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Class-aware Patch Based Contrastive Learning for Medical Image Segmentation.

Shaozhi Wu, Han Li, Xingang Liu, Dan Tian, Han Su

Proceedings of the International Joint Conference on Neural Networks, 2024

ReconGait: Giant Panda Gait Recognition Based on Spatio-Temporal Feature Reconstruction.

Peng Min, Han Su, Mengnan He, Rong Hou, Pinjia Que, Peng Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Few-Shot Classification with Semantic Augmented Activators.

Ruixuan Gao, Han Su, Peisen Tang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Efficient Gait Recognition via Spatial-Temporal Decoupled Network.

Peisen Tang, Han Su, Ruixuan Gao, Wensheng Zhao, Chaoying Tang

Proceedings of the International Joint Conference on Neural Networks, 2023

Fast Geometric Sampling for Phong-Like Reflection.

Shuzhan Yang, Han Su

Proceedings of the Advances in Computer Graphics, 2023

2022

Ages of giant panda can be accurately predicted using facial images and machine learning.

Hang-Xing Zang, Han Su, Yu Qi, Lin Feng, Rong Hou, Mengnan He, Peng Liu, Ping Xu, Yanglina Yu, Peng Chen

Ecol. Informatics, 2022

2021

A Compact Soft Ordinal Regression Network for Age Estimation.

Hang-Xing Zang, Han Su, Yu Qi, Hai-Kun Wang

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Model-Based Gait Recognition Using Graph Network with Pose Sequences.

Zhihao Wang, Chaoying Tang, Han Su, Xiaojie Li

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Grouping Feature Learning for Giant Panda Face Recognition.

Hai-Kun Wang, Han Su, Peng Chen, Rong Hou, Zhihe Zhang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

基于行为关键语句特征的停车场异常行为识别方法 (Parking Anomaly Behavior Recognition Method Based on Key Sentence of Behavior Sequence Features).

Hongnian Wang, Han Su, Gang Long, Yanfei Wang, Kuan Yin

计算机科学, 2019

STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction.

Hongnian Wang, Han Su

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

Giant Panda Face Recognition Using Small Dataset.

Wojciech Michal Matkowski, Adams Wai-Kin Kong, Han Su, Peng Chen, Rong Hou, Zhihe Zhang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Deep Features for Giant Panda Gender Classification using Face Images.

Hongnian Wang, Han Su, Peng Chen, Rong Hou, Zhihe Zhang, Weiyi Xie

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2015

A method of carried object detection based on key posture of silhouette.

Han Su, Wenjie Wang

Proceedings of the 11th International Conference on Natural Computation, 2015

2014

A Study on Low Resolution Androgenic Hair Patterns for Criminal and Victim Identification.

Han Su, Adams Wai-Kin Kong

IEEE Trans. Inf. Forensics Secur., 2014

2013

Human activity recognition based on silhouette analysis using Local Binary Patterns.

Han Su, Jiayun Zou, Wenjie Wang

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2010

A new method of gait recognition independent of view angle.

Han Su, Guo-Yue Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2008

A novel method of gait recognition based on Kernel Fisher Discriminant Analysis.

Han Su, Mian Yang, Hua Xu

Proceedings of the IEEE International Conference on Systems, 2008

2006

Gait Recognition Using Principal Curves and Neural Networks.

Han Su, Fenggang Huang

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

A New Method for Human Gait Recognition Using Temporal Analysis.

Han Su, Fenggang Huang

Proceedings of the Computational Intelligence and Security, International Conference, 2005