Chenkai Zhang

According to our database, Chenkai Zhang authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

A dual-branch siamese spatial-spectral transformer attention network for Hyperspectral Image Change Detection.

Yiyan Zhang, Tingting Wang, Chenkai Zhang, Shufang Xu, Hongmin Gao, Chenming Li

Expert Syst. Appl., March, 2024

Learning the Color Space for Effective Fabric Defect Detection.

Chenkai Zhang, Yu Qi, Yueming Wang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation.

Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Hiroshi Murase

CoRR, 2024

Whatever could be, could be: Visualizing Future Movement Predictions.

Chenkai Zhang, Ruochen Cao, Andrew Cunningham, James A. Walsh

Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2024

Comprehensive Evaluation of End-to-End Driving Model Explanations for Autonomous Vehicles.

Chenkai Zhang, Daisuke Deguchi, Jialei Chen, Hiroshi Murase

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Adaptive Fast Image Encryption Algorithm Based on Three-Dimensional Chaotic System.

Yiming Wang, Xiangxin Leng, Chenkai Zhang, Baoxiang Du

Entropy, October, 2023

MTHM: Self-Supervised Multitask Anomaly Detection With Hard Example Mining.

Chenkai Zhang, Yueming Wang, Wenming Tan

IEEE Trans. Instrum. Meas., 2023

Multimodal Transformer Network for Hyperspectral and LiDAR Classification.

Yiyan Zhang, Shufang Xu, Danfeng Hong, Hongmin Gao, Chenkai Zhang, Meiqiao Bi, Chenming Li

IEEE Trans. Geosci. Remote. Sens., 2023

A fast piecewise image encryption scheme combining NC1DNSM and P-Box.

Chenkai Zhang, Baoxiang Du

Integr., 2023

CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation.

Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Xu Zheng, Hiroshi Murase

CoRR, 2023

More Persuasive Explanation Method for End-to-End Driving Models.

Chenkai Zhang, Daisuke Deguchi, Yuki Okafuji, Hiroshi Murase

IEEE Access, 2023

Refined Objectification for Improving End-to-End Driving Model Explanation Persuasibility^*.

Chenkai Zhang, Daisuke Deguchi, Hiroshi Murase

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Adapting Generic Features to A Specific Task: A Large Discrepancy Knowledge Distillation for Image Anomaly Detection.

Chenkai Zhang, Tianqi Du, Yueming Wang

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2021

A Machine Learning-Based Approach to Analyze Information Used for Steering Control.

Yuki Okafuji, Toshihito Sugiura, Ryusei Osugi, Chenkai Zhang, Takahiro Wada

IEEE Access, 2021

Evaluation of visualization performance of CNN models using driver model.

Chenkai Zhang, Yuki Okafuji, Takahiro Wada

Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

Improving Visual Search Tasks by Bending the Virtual City Twins: A Preliminary Study in Virtual Reality.

Chenkai Zhang, Mingze Xi, Matt Adcock

Proceedings of the OzCHI '21: 33rd Australian Conference on Human-Computer Interaction, Melbourne, VI, Australia, 30 November 2021, 2021

2020

ZJU-Leaper: A Benchmark Dataset for Fabric Defect Detection and a Comparative Study.

Chenkai Zhang, Shaozhe Feng, Xulongqi Wang, Yueming Wang

IEEE Trans. Artif. Intell., 2020