Fanjie Kong

According to our database, Fanjie Kong authored at least 14 papers between 2016 and 2023.

Collaborative distances:

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

2023

Mitigating Test-Time Bias for Fair Image Retrieval.

Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Insights for Digital Marketing Content Design.

Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Improving Road Extraction for Autonomous Driving Using Swin Transformer Unet.

Chao Ge, Yiming Nie, Fanjie Kong, Xiaoyu Xu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Efficient Classification of Very Large Images with Tiny Objects.

Fanjie Kong, Ricardo Henao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification.

Fanjie Kong, Xiao-Yang Liu, Ricardo Henao

CoRR, 2021

Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy.

Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models.

Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin

CoRR, 2020

The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation.

Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Restoration algorithm for noisy complex illumination.

Zhanwen Liu, Tao Gao, Fanjie Kong, Ziheng Jiao, Aodong Yang, Shuying Li, Bo Liu

IET Comput. Vis., 2019

Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework.

Chen Li, Fanjie Kong, Kai Wang, Aidong Xu, Gexiang Zhang, Ning Xu, Zhihua Liu, Haifeng Guo, Xue Wang, Kuan Liang, Jianying Yuan, Shouliang Qi, Tao Jiang

IEEE Access, 2019

Cervical Histopathology Image Classification Using Ensembled Transfer Learning.

Chen Li, Dan Xue, Fanjie Kong, Zhijie Hu, Hao Chen, Yudong Yao, Hongzan Sun, Le Zhang, Jinpeng Zhang, Tao Jiang, Jianying Yuan, Ning Xu

Proceedings of the Information Technology in Biomedicine, 2019

Transfer Learning Based Classification of Cervical Cancer Immunohistochemistry Images.

Chen Li, Dan Xue, X. Zhou, Jinpeng Zhang, H. Zhang, Yudong Yao, Fanjie Kong, Le Zhang, Hongzan Sun

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results.

Fanjie Kong, Cheng Chen, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2016

Land Cover Classification Based on Fused Data from GF-1 and MODIS NDVI Time Series.

Fanjie Kong, Xiaobing Li, Hong Wang, Dengfeng Xie, Xiang Li, Yunxiao Bai

Remote. Sens., 2016