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Progressive Purification for Instance-Dependent Partial Label Learning


Jun 02, 2022
Ning Xu, Jiaqi Lv, Biao Liu, Congyu Qiao, Xin Geng


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One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement


Jun 01, 2022
Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang


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Decomposition-based Generation Process for Instance-Dependent Partial Label Learning


Apr 08, 2022
Congyu Qiao, Ning Xu, Xin Geng


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Instance-Dependent Partial Label Learning


Oct 26, 2021
Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang

* NeurIPS 2021 Spotlight 

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AIM 2020 Challenge on Rendering Realistic Bokeh


Nov 10, 2020
Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, Jiji C V, Hrishikesh P S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M B, Minnu A L, Sanjana A R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou

* Published in ECCV 2020 Workshop (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 

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BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh


Nov 04, 2020
Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng

* accepted by ECCV workshop 2020 

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