About me
My name is Fanjie Kong. I received my Ph.D. degree from the Electrical and Computer Engineering (ECE) Department at Duke University. My Ph.D. advisor is Prof. Ricardo Henao. My current research mainly focuses on open-vocabulary object detection, efficient vision models and Fairness in AI. For additional details regarding my academic and professional experiences, please refer to my CV.
Recent Papers
- Hyperbolic Learning with Synthetic Captions for Open-World Detection [PDF]
Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 - Mitigating Test-Time Bias for Fair Image Retrieval [PDF]
Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao
Advances in Neural Information Processing Systems (NeurIPS), 2023 - Neural Insights for Digital Marketing Content Design [PDF]
Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. - Efficient Classification of Very Large Images with Tiny Objects [PDF]
Fanjie Kong, Ricardo Henao
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. - Physics-enhanced machine learning for virtual fluorescence microscopy [PDF]
Colin L Cooke, Fanjie Kong , Amey Chaware, Kevin C Zhou, Kanghyun Kim, Rong Xu, D Michael Ando, Samuel J Yang, Pavan Chandra Konda, Roarke Horstmeyer
IEEE/CVF International Conference on Computer Vision (ICCV), 2021. - The Synthinel-1 dataset: A collection of high resolution synthetic overhead imagery for building segmentation [PDF]
Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan Malof
IEEE/CVF winter conference on applications of computer vision (WACV), 2020.
Industrial Experience
- Applied Scientist Intern at Amazon AWS AI Lab
- Applied Scientist Intern at Amazon.com
Teaching Assistant
- ECE 586 - Vector Space Methods with Applications, for graduate students, Fall 2021.
- ECE 684 - Natural Language Processing, for graduate students, Fall 2022.
Videos
KDD 2023 - Neural Insights for Digital Marketing Content Design
NeurIPS 2023 - Mitigating Test-Time Bias for Fair Image Retrieval
Reviewer Service
- EMNLP 2023, CVPR 2023
- ICLR 2024, CVPR 2024, ECCV 2024, NeurIPS 2024
- TPAMI