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Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer


Aug 29, 2022
Junjie Hu, Chenyou Fan, Hua Feng, Yuan Gao, Tin Lun Lam


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Data-free Dense Depth Distillation


Aug 26, 2022
Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam


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Deep Depth Completion: A Survey


May 17, 2022
Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam


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AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth


Sep 08, 2021
Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze

* Submitted to AAAI'22 

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Boosting Light-Weight Depth Estimation Via Knowledge Distillation


May 13, 2021
Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Xiangyong Lu, Tin Lun Lam


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Federated Few-Shot Learning with Adversarial Learning


Apr 01, 2021
Chenyou Fan, Jianwei Huang


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Projection Robust Wasserstein Distance and Riemannian Optimization


Jun 28, 2020
Tianyi Lin, Chenyou Fan, Nhat Ho, Marco Cuturi, Michael I. Jordan

* The first two authors contributed equally 

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Federated Generative Adversarial Learning


May 24, 2020
Chenyou Fan, Ping Liu


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