English
|
正體中文
|
简体中文
|
Post-Print筆數 : 27 |
Items with full text/Total items : 113311/144292 (79%)
Visitors : 50934806
Online Users : 998
Items for Author "彭彥璁"
Return to Browse by Author
Showing 30 items.
Collection
Date
Title
Authors
Bitstream
[資訊科學系] 期刊論文
2021-09
Applying artificial intelligence (AI) techniques to implement a practical smart cage aquaculture management system
彭彥璁 ; Peng, Yan-Tsung ; Chang, Chung-Cheng ; Wang, Jung-Hua ; Wu, Jenq-Lang ; Hsieh, Yi-Zeng ; Wu, Tzong-Dar ; Cheng, Shyi-Chy ; Chang, Chin-Chun ; Juang, Jih-Gau ; Liou, Chyng-Hwa ; Hsu, Te-Hua ; Huang, Yii-Shing ; Huang, Cheng-Ting ; Lin, Chen-Chou ; Huang, Ren-Jie ; Jhang, Jia-Yao ; Liao, Yen-Hsiang ; Lin, Chin-Yang
[資訊科學系] 期刊論文
2022-07
Applying Artificial Intelligence (AI) to improve fire response activities
彭彥璁 ; Peng, Yan-Tsung ; Chang, Ray Hsienho ; Choi, Seongchul ; Cai, Changjie
[資訊科學系] 期刊論文
2022-03
Underwater Image Enhancement Based on Histogram-Equalization Approximation Using Physics-Based Dichromatic Modeling
彭彥璁 ; Peng, Yan-Tsung ; Chen, Yen-Rong ; Chen, Zihao ; Wang, Jung-Hua ; Huang, Shih-Chia
[資訊科學系] 期刊論文
2022-02
Single Image Reflection Removal Based on Knowledge-Distilling Content Disentanglement
彭彥璁 ; Peng, Yan-Tsung ; Cheng, Kai-Han ; Fang, I-Sheng ; Peng, Wen-Yi ; Wu, Jr-Shian
[資訊科學系] 期刊論文
2022-01
A Fast Two-Stage Bilateral Filter Using Constant Time O(1) Histogram Generation
彭彥璁 ; Peng, Yan-Tsung ; Cheng, Sheng-Wei ; Lin, Yi-Ting
[資訊科學系] 期刊論文
2021-10
Image Impulse Noise Removal Using Cascaded Filtering Based on Overlapped Adaptive Gaussian Smoothing and Convolutional Refinement Networks
彭彥璁 ; Peng, Yan-Tsung ; Huang, Sha-Wo
[資訊科學系] 期刊論文
2021-08
An Advanced Noise Reduction and Edge Enhancement Algorithm
彭彥璁 ; Peng, Yan-Tsung ; Huang, Shih-Chia ; Hoang, Quoc-Viet ; Le, Trung-Hieu ; Huang, Ching-Chun
[資訊科學系] 會議論文
2019-09
Enhancing object detection in the dark using U-Net based restoration module
彭彥璁 ; Peng, Yan-Tsung ; Huang, Y.-T.* ; Peng, Y.-T. ; Liao, W.-H.
[資訊科學系] 期刊論文
2019-03
Image Haze Removal Using Airlight White Correction, Local Light Filter, and Aerial Perspective Prior
彭彥璁 ; Peng, Yan-Tsung ; Huang*, S.-C. ; 呂智慧 ; Lu, Zhihui ; 鄭帆捷 ; Cheng, Fan-Chieh ; 黃士嘉 ; Huang, Shih-Chia ; Zheng, Yalun
[資訊科學系] 會議論文
2023-06
Rain2Avoid: Self-Supervised Single Image Deraining
彭彥璁 ; Peng, Yan-Tsung ; Li, Wei-Hua
[資訊科學系] 期刊論文
2021-12
Two-Exposure Image Fusion Based on Optimized Adaptive Gamma Correction
彭彥璁 ; Peng, Yan-Tsung ; Liao, He-Hao ; Chen, Ching-Fu
[資訊科學系] 會議論文
2019-09
Image Denoising based on Overlapped and Adaptive Gaussian Smoothing and Convolutional Refinement Networks
彭彥璁 ; Peng, Yan-Tsung ; Lin, M.-H. ; Tang, C.-L. ; Wu, C.-H.
[資訊科學系] 期刊論文
2021-05
Image Denoising Using Adaptive and Overlapped Average Filtering and Mixed-Pooling Attention Refinement Networks
彭彥璁 ; Peng, Yan-Tsung ; Lin, Ming-Hao ; Hou, Zhi-Xiang ; Cheng, Kai-Han ; Wu, Chin-Hsien
[資訊科學系] 會議論文
2021-09
Blurriness Guided Underwater Salient Object Detection
彭彥璁 ; Peng, Yan-Tsung ; Lin, Yu-Cheng ; Peng, Wen-Yi
[資訊科學系] 專利
2023-10
Saliency map generation method and image processing system using the same
彭彥璁 ; Peng, Yan-Tsung ; Lin, Yu-Cheng
[資訊科學系] 會議論文
2022-11
Traffic Violation Detection via Depth and Gradient Angle Change
彭彥璁 ; Peng, Yan-Tsung ; Liu, Chen-Yu ; Liao, He-Hao ; Lien, Wei-Cheng ; Hsu, Gee-Sern Jison
[資訊科學系] 會議論文
2022-11
Meta Transferring for Deblurring
彭彥璁 ; Peng, Yan-Tsung ; Liu, Po-Sheng ; Tsai, Fu-Jen ; Tsai, Chung-Chi ; Lin, Chia-Wen ; Lin, Yen-Yu
[資訊科學系] 會議論文
2022-11
Lip Sync Matters: A Novel Multimodal Forgery Detector
彭彥璁 ; Peng, Yan-Tsung ; Shahzad, Sahibzada Adil ; Hashmi, Ammarah ; Khan, Sarwar ; Tsao, Yu ; Wang, Hsin-Min
[資訊科學系] 會議論文
2022-07
Stripformer: Strip Transformer for Fast Image Deblurring
彭彥璁 ; Peng, Yan-Tsung ; Tsai, Fu-Jen ; Lin, Yen-Yu ; Tsai, Chung-Chi ; Lin, Chia-Wen
[資訊科學系] 期刊論文
2022-10
BANet: A Blur-aware Attention Network for Dynamic Scene Deblurring
彭彥璁 ; Peng, Yan-Tsung ; Tsai, Fu-Jen ; Tsai, Chung-Chi ; Lin, Yen-Yu ; Lin, Chia-Wen
[資訊科學系] 期刊論文
2021-06
Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-Exposure Image Fusion
彭彥璁 ; Peng, Yan-Tsung ; Yin, Jia-Li ; Chen, Bo-Hao ; Hwang, Hau
[資訊科學系] 會議論文
2019-09
Color Shifting-Aware Image Dehazing
彭彥璁 ; Peng, Yan-Tsung ; Yin, Jia-Li ; Chen, Bo-Hao ; Lin, Yu-Cheng
[資訊科學系] 期刊論文
2021-06
Two Exposure Fusion Using Prior-Aware Generative Adversarial Network
彭彥璁 ; Peng, Yan-Tsung ; Yin, Jia-Li ; Chen, Bo-Hao
[資訊科學系] 期刊論文
2018-06
Generalization of the Dark Channel Prior for Single Image Restoration
彭彥璁 ; Peng , Yan-Tsung ; Cao, Keming ; Cosman, Pamela
[資訊科學系] 期刊論文
2017-02
Underwater Image Restoration based on Image Blurriness and Light Absorption
彭彥璁 ; Peng , Yan-Tsung ; Cosman, Pamela ; Peng , Yan-Tsung
[資訊科學系] 專利
2020-11
顯著圖產生方法及使用該方法的影像處理系統
彭彥璁 ; 林祐丞 ; Peng, Yan-Tsung ; Lin, Yu-Cheng
[資訊科學系] 會議論文
2022-07
A Quanvolution Architecture for Image Classification
彭彥璁 ; 許琇娟 ; Peng, Yan-Tsung ; Hsu, Hsiu-Chuan ; Ho, Po-Han
[資訊科學系] 專利
2020-10
影像品質提昇方法及使用該方法的影像處理裝置
彭彥璁 ; 黃莎涴 ; 林明浩 ; 吳晉賢 ; 湯竣淋 ; Peng, Yan-Tsung ; Huang, Sha-Wo ; Lin, Ming-Hao ; Wu, Chin-Hsien ; Tang, Chun-Lin
[2023 NCS 全國計算機會議:次世代AI與數位韌性] 會議論文
2023-11
基於影像強化的人工智能高精準度蟎蟲偵測及分類
鄭昱亭 ; 彭彥璁 ; 連唯証 ; 李佑晟 ; 賴怡廷 ; 林筱玫
[2023 NCS 全國計算機會議:次世代AI與數位韌性] 會議論文
2023-11
基於暗通道先驗與知識蒸餾之內容解耦影像去反射
鄭楷翰 ; 蕭竑軒 ; 方宜晟 ; 彭彥璁
著作權政策宣告 Copyright Announcement 1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.
2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(
nccur@nccu.edu.tw ),維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(
nccur@nccu.edu.tw ). We will remove the work from the repository and investigate your claim.