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ORCIDFanjie 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- [i9]Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo:
Hyperbolic Learning with Synthetic Captions for Open-World Detection. CoRR abs/2404.05016 (2024) - [i8]Chen Min, Shubin Si, Xu Wang, Hanzhang Xue, Weizhong Jiang, Yang Liu, Juan Wang, Qingtian Zhu, Qi Zhu, Lun Luo, Fanjie Kong, Jinyu Miao, Xudong Cai, Shuai An, Wei Li, Jilin Mei, Tong Sun, Heng Zhai, Qifeng Liu, Fangzhou Zhao, Liang Chen, Shuai Wang, Er-Ke Shang, Linzhi Shang, Kunlong Zhao, Fuyang Li, Hao Fu, Lei Jin, Jian Zhao, Fangyuan Mao, Zhipeng Xiao, Chengyang Li, Bin Dai, Dawei Zhao, Liang Xiao, Yiming Nie, Yu Hu, Xuelong Li:
Autonomous Driving in Unstructured Environments: How Far Have We Come? CoRR abs/2410.07701 (2024) - 2023
- [c9]Fanjie Kong
, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti:
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, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
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, Jordan M. Malof:
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, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
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, Fanjie Kong, Kai Wang, Aidong Xu, Gexiang Zhang, Ning Xu, Zhihua Liu, Haifeng Guo, Xue Wang, Kuan Liang, Jianying Yuan, Shouliang Qi, Tao Jiang:
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, Bo Liu:
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, Jordan M. Malof:
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, Yudong Yao, Hongzan Sun, Le Zhang, Jinpeng Zhang, Tao Jiang, Jianying Yuan, Ning Xu:
Cervical Histopathology Image Classification Using Ensembled Transfer Learning. ITIB 2019: 26-37 - 2016
- [j1]Fanjie Kong, Xiaobing Li, Hong Wang, Dengfeng Xie, Xiang Li, Yunxiao Bai:
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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