Kaikai Zhao

According to our database, Kaikai Zhao authored at least 16 papers between 2013 and 2024.

Collaborative distances:

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

2024

A Novel Vision-Based Truck-Lifting Accident Detection Method for Truck-Lifting Prevention System in Container Terminal.

Zhiyu Ji, Kaikai Zhao, Zhaoxiang Liu, Huan Hu, Zhongheng Sun, Shiguo Lian

IEEE Access, 2024

2023

KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer.

Kaikai Zhao, Norimichi Ukita

CoRR, 2023

2022

MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System.

Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma

Sensors, 2022

Application-Driven AI Paradigm for Human Action Recognition.

Zezhou Chen, Yajie Cui, Kaikai Zhao, Zhaoxiang Liu, Shiguo Lian

CoRR, 2022

A Waste Copper Granules Rating System Based on Machine Vision.

Kaikai Zhao, Yajie Cui, Zhaoxiang Liu, Shiguo Lian

CoRR, 2022

2021

Efficient Hardware Accelerator for Compressed Sparse Deep Neural Network.

Hao Xiao, Kaikai Zhao, Guangzhu Liu

IEICE Trans. Inf. Syst., 2021

2020

From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking.

Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks.

Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki

J. Intell. Inf. Syst., 2019

Efficient Multiple Kernel k-Means Clustering With Late Fusion.

Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu

IEEE Access, 2019

2018

Large-scale k-means clustering via variance reduction.

Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin

Neurocomputing, 2018

Evaluation of quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging in qualitative diagnosis of hepatic masses.

Jingjing Chen, Youjiao Si, Kaikai Zhao, Xianglong Shi, Weiqun Bi, Shi-en Liu, Hui Hua

BMC Medical Imaging, 2018

Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification.

Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2015

Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity.

Kaikai Zhao, Einoshin Suzuki

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

2014

ESmodels: An Epistemic Specification Solver.

Zhizheng Zhang, Kaikai Zhao

CoRR, 2014

Facial Expression Data Constructed with Kinect and Their Clustering Stability.

Angdy Erna, Linli Yu, Kaikai Zhao, Wei Chen, Einoshin Suzuki

Proceedings of the Active Media Technology - 10th International Conference, 2014

2013

ESmodels: An Inference Engine of Epistemic Specifications.

Zhizheng Zhang, Kaikai Zhao, Rongcun Cui

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013