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Fanjie Kong
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2020 – today
- 2024
- [c10]Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo:
Hyperbolic Learning with Synthetic Captions for Open-World Detection. CVPR 2024: 16762-16771 - [i8]Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo:
Hyperbolic Learning with Synthetic Captions for Open-World Detection. CoRR abs/2404.05016 (2024) - 2023
- [c9]Fanjie Kong
, Yuan Li
Neural Insights for Digital Marketing Content Design. KDD 2023: 4320-4332 - [c8]Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao:
Mitigating Test-Time Bias for Fair Image Retrieval. NeurIPS 2023 - [i7]Fanjie Kong, Yuan Li, Tanner Fiez, Shreya Chakrabarti, Ricardo Henao, Houssam Nassif:
Neural Insights for Digital Marketing Content Design. CoRR abs/2302.01416 (2023) - [i6]Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao:
Mitigating Test-Time Bias for Fair Image Retrieval. CoRR abs/2305.19329 (2023) - 2022
- [c7]Fanjie Kong, Ricardo Henao:
Efficient Classification of Very Large Images with Tiny Objects. CVPR 2022: 2374-2384 - [c6]Chao Ge, Yiming Nie, Fanjie Kong, Xiaoyu Xu:
Improving Road Extraction for Autonomous Driving Using Swin Transformer Unet. ITSC 2022: 1216-1221 - 2021
- [c5]Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. ICCV 2021: 3783-3793 - [i5]Fanjie Kong, Xiao-Yang Liu, Ricardo Henao:
Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification. CoRR abs/2101.03154 (2021) - [i4]Fanjie Kong, Ricardo Henao:
Efficient Classification of Very Large Images with Tiny Objects. CoRR abs/2106.02694 (2021) - 2020
- [c4]Fanjie Kong, Bohao Huang, Kyle Bradbury
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. WACV 2020: 1803-1812 - [i3]Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof:
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. CoRR abs/2001.05130 (2020) - [i2]Colin L. V. Cooke, Fanjie Kong, Amey Chaware
Physics-enhanced machine learning for virtual fluorescence microscopy. CoRR abs/2004.04306 (2020) - [i1]Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin:
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. CoRR abs/2012.03369 (2020)
2010 – 2019
- 2019
- [j3]Chen Li
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework. IEEE Access 7: 97216-97241 (2019) - [j2]Zhanwen Liu, Tao Gao, Fanjie Kong, Ziheng Jiao, Aodong Yang, Shuying Li
Restoration algorithm for noisy complex illumination. IET Comput. Vis. 13(2): 224-232 (2019) - [c3]Fanjie Kong, Cheng Chen, Bohao Huang, Leslie M. Collins, Kyle Bradbury
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results. IGARSS 2019: 3903-3906 - [c2]Chen Li, Dan Xue, X. Zhou, Jinpeng Zhang, H. Zhang, Yudong Yao, Fanjie Kong, Le Zhang, Hongzan Sun:
Transfer Learning Based Classification of Cervical Cancer Immunohistochemistry Images. ISICDM 2019: 102-106 - [c1]Chen Li, Dan Xue, Fanjie Kong, Zhijie Hu, Hao Chen
Cervical Histopathology Image Classification Using Ensembled Transfer Learning. ITIB 2019: 26-37 - 2016
- [j1]Fanjie Kong
Land Cover Classification Based on Fused Data from GF-1 and MODIS NDVI Time Series. Remote. Sens. 8(9): 741 (2016)
Coauthor Index
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