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PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures


Apr 08, 2023
Shuangkang Fang, Yufeng Wang, Yi Yang, Weixin Xu, Heng Wang, Wenrui Ding, Shuchang Zhou

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* Project website: http://sk-fun.fun/PVD-AL. arXiv admin note: substantial text overlap with arXiv:2211.15977 

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One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation


Nov 30, 2022
Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou

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* Accepted by AAAI2023. Project Page: https://sk-fun.fun/PVD 

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Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems


Oct 23, 2022
Yufeng Wang, Cong Xu, Min Yang, Jin Zhang

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* 21 pages 

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Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies


Sep 03, 2022
Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu

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* Accepted by ECCV2022 

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Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions


Feb 13, 2022
Yufeng Wang, Dan Li, Cong Xu, Min Yang

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* 8pages 

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Semi-supervised Multi-task Learning for Semantics and Depth


Oct 14, 2021
Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang

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* Accepted at WACV 2022 

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Missingness Augmentation: A General Approach for Improving Generative Imputation Models


Jul 31, 2021
Yufeng Wang, Dan Li, Cong Xu, Min Yang

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* 7 pages 

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PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data


Nov 16, 2020
Yufeng Wang, Dan Li, Xiang Li, Min Yang

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* 16pages 

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