Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Dingkang Yang"'
1
Akademický článek
Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network
Autor: Ruichao Zhu, Jiafu Wang, Tianshuo Qiu, Dingkang Yang, Bo Feng, Zuntian Chu, Tonghao Liu, Yajuan Han, Hongya Chen, Shaobo Qu
Publikováno v: Opto-Electronic Advances, Vol 6, Iss 8, Pp 1-10 (2023)
Complex-amplitude holographic metasurfaces (CAHMs) with the flexibility in modulating phase and amplitude profiles have been used to manipulate the propagation of wavefront with an unprecedented level, leading to higher image-reconstruction quality c
Externí odkaz: https://doaj.org/article/2fb5b36488744388b1be5b47301a53c8
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2
Akademický článek
Multi-Scale Feature Fusion and Structure-Preserving Network for Face Super-Resolution
Autor: Dingkang Yang, Yehua Wei, Chunwei Hu, Xin Yu, Cheng Sun, Sheng Wu, Jin Zhang
Publikováno v: Applied Sciences, Vol 13, Iss 15, p 8928 (2023)
Deep convolutional neural networks have demonstrated significant performance improvements in face super-resolution tasks. However, many deep learning-based approaches tend to overlook the inherent structural information and feature correlation across
Externí odkaz: https://doaj.org/article/12fd2858c1dd4d51a51e215fac4a689b
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5
Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint
Autor: Peng Zhai, Jie Luo, Zhiyan Dong, Lihua Zhang, Shunli Wang, Dingkang Yang
Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 36:5431-5439
Robust adversarial reinforcement learning is an effective method to train agents to manage uncertain disturbance and modeling errors in real environments. However, for systems that are sensitive to disturbances or those that are difficult to stabiliz
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4242c0b16988fee7123e2fbf4c6c0d56
https://doi.org/10.1609/aaai.v36i5.20481
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7
A novel efficient Multi-view traffic-related object detection framework
Autor: Kun Yang, Jing Liu, Dingkang Yang, Hanqi Wang, Peng Sun, Yanni Zhang, Yan Liu, Liang Song
With the rapid development of intelligent transportation system applications, a tremendous amount of multi-view video data has emerged to enhance vehicle perception. However, performing video analytics efficiently by exploiting the spatial-temporal r
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf3b6640b6b9209d0822be2cae31332c
http://arxiv.org/abs/2302.11810
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8
Adversarial Contrastive Distillation with Adaptive Denoising
Autor: Yuzheng Wang, Zhaoyu Chen, Dingkang Yang, Yang Liu, Siao Liu, Wenqiang Zhang, Lizhe Qi
Adversarial Robustness Distillation (ARD) is a novel method to boost the robustness of small models. Unlike general adversarial training, its robust knowledge transfer can be less easily restricted by the model capacity. However, the teacher model th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45bca1b62759cca4ae479d001c2ffee4
http://arxiv.org/abs/2302.08764
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