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Yanan Li

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Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report

Nov 07, 2022
Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei

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Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report

Nov 07, 2022
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun

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Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

Oct 30, 2022
Jing Xu, Xu Luo, Xinglin Pan, Wenjie Pei, Yanan Li, Zenglin Xu

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Q-Net: Query-Informed Few-Shot Medical Image Segmentation

Aug 24, 2022
Qianqian Shen, Yanan Li, Jiyong Jin, Bin Liu

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Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data

Mar 02, 2022
Zihao Zhou, Yanan Li, Xuebin Ren, Shusen Yang

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Dual Path Structural Contrastive Embeddings for Learning Novel Objects

Jan 04, 2022
Bingbin Li, Elvis Han Cui, Yanan Li, Donghui Wang, Weng Kee Wong

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Class-Incremental Few-Shot Object Detection

May 17, 2021
Pengyang Li, Yanan Li, Donghui Wang

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Improving Tracking through Human-Robot Sensory Augmentation

Feb 17, 2020
Yanan Li, Jonathan Eden, Gerolamo Carboni, Etienne Burdet

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Asynchronous Federated Learning with Differential Privacy for Edge Intelligence

Dec 17, 2019
Yanan Li, Shusen Yang, Xuebin Ren, Cong Zhao

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