default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChih-Chung Hsu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j14]Fares Bougourzi
, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Suman Chaudhary, Wanting Yang, Yan Qiang, Talha Anwar, Mihaela Elena Breaban, Chih-Chung Hsu, Shen-Chieh Tai, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato:
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 24(5): 1557 (2024)- [j13]Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu, Chia-Ming Lee, Guan-Lin Chen:
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j12]Chia-Hsiang Lin, Chih-Chung Hsu, Si-Sheng Young, Cheng-Ying Hsieh, Shen-Chieh Tai:
QRCODE: Quasi-Residual Convex Deep Network for Fusing Misaligned Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j11]Chia-Hsiang Lin, Yangrui Liu, Chong-Yung Chi, Chih-Chung Hsu, Hsuan Ren, Tony Q. S. Quek:
Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10736-10750 (2024) - [c53]Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai:
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection. CVPR Workshops 2024: 4924-4934 - [c52]Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2024: 6108-6132 - [c51]Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou:
DRCT: Saving Image Super-Resolution away from Information Bottleneck. CVPR Workshops 2024: 6133-6142 - [c50]Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. CVPR Workshops 2024: 6595-6631 - [c49]Chih-Chung Hsu, Wei-Hao Huang, Wen-Hai Tseng, Ming-Hsuan Wu, Ren-Jung Xu, Chia-Ming Lee:
OmniDet: Omnidirectional Object Detection via Fisheye Camera Adaptation. MIPR 2024: 335-341 - [c48]Chih-Chung Hsu, Chia-Ming Lee:
MISS: Memory-efficient Instance Segmentation for Sport-Scenes with Visual Inductive Priors. MIPR 2024: 557-561 - [c47]Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Yi-Shiuan Chou, Chih-Yu Jian, Chi-Han Tsai:
Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction. ACM Multimedia 2024: 11464-11469 - [i27]Jiun-Man Chen, Yu-Hsuan Chao, Yu-Jie Wang, Ming-Der Shieh, Chih-Chung Hsu, Wei-Fen Lin:
QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning. CoRR abs/2403.06497 (2024) - [i26]Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai:
Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection. CoRR abs/2403.11230 (2024) - [i25]Chih-Chung Hsu, Chia-Ming Lee, Chun-Hung Sun, Kuang-Ming Wu:
OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System. CoRR abs/2403.11536 (2024) - [i24]Chih-Chung Hsu, Chia-Ming Lee, Ming-Shyen Wu:
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes. CoRR abs/2403.11572 (2024) - [i23]Chih-Chung Hsu, Chia-Ming Lee:
MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation. CoRR abs/2403.11576 (2024) - [i22]Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou:
DRCT: Saving Image Super-resolution away from Information Bottleneck. CoRR abs/2404.00722 (2024) - [i21]Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai:
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection. CoRR abs/2404.01643 (2024) - [i20]Chih-Chung Hsu, Chia-Ming Lee, Chun-Hung Sun, Kuang-Ming Wu:
Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset. CoRR abs/2404.05183 (2024) - [i19]Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR abs/2404.09790 (2024) - [i18]Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu, Chia-Ming Lee, Guan-Lin Chen:
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat. CoRR abs/2404.15781 (2024) - [i17]Chih-Chung Hsu, Chih-Chien Ni, Chia-Ming Lee, Li-Wei Kang:
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion. CoRR abs/2406.19666 (2024) - [i16]Chih-Chung Hsu, Shao-Ning Chen, Mei-Hsuan Wu, Yi-Fang Wang, Chia-Ming Lee, Yi-Shiuan Chou:
GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection. CoRR abs/2406.19941 (2024) - [i15]Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Yi-Shiuan Chou, Chih-Yu Jian, Chi-Han Tsai:
Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction. CoRR abs/2407.00556 (2024) - [i14]Yu-Fan Lin, Ching-Heng Cheng, Bo-Cheng Qiu, Cheng-Jun Kang, Chia-Ming Lee, Chih-Chung Hsu:
Self-supervised Fusarium Head Blight Detection with Hyperspectral Image and Feature Mining. CoRR abs/2409.00395 (2024) - 2023
- [j10]Chih-Chung Hsu, Li-Wei Kang, Shih-Yu Chen, I-Shan Wang, Ching-Hao Hong, Chuan-Yu Chang:
Deep learning-based vehicle trajectory prediction based on generative adversarial network for autonomous driving applications. Multim. Tools Appl. 82(7): 10763-10780 (2023) - [j9]Guan-Lin Chen, Chih-Chung Hsu:
Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9922-9931 (2023) - [c46]Ju-Yeh Yang, Tsung-Chun Lee, Chih-Yu Jian, Chih-Chung Hsu:
Multimodality-aware Intra-dialytic Hypotension Classifier: A Bilingual NLP Approach to Classify Dialysis Records. BCB 2023: 82:1 - [c45]Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chi-Han Tsai, Shen-Chieh Tai:
Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans. ICASSP Workshops 2023: 1-4 - [c44]Chih-Chung Hsu, Pi-Ju Tsai:
Identical Twins Verification with Fine-grained Recognition. ICCE-Taiwan 2023: 75-76 - [c43]Chih-Chung Hsu, Sophia Yang, Xiu-Yu Hou, Yu-An Jhang:
Prior-Guided Parallel Residual Bi-Fusion Network in USV Obstacle Detection. ICCE-Taiwan 2023: 107-108 - [c42]Chih-Chung Hsu, Yun-Zhong Jiang, Wei-Hao Huang:
Swift Concurrent Semantic Segmentation and Object Detection on Edge Devices. ICME Workshops 2023: 40-45 - [c41]Chih-Chung Hsu, Pei-Jun Lee:
FPGA Implementation of Floating Point Linear Programming. ICSSE 2023: 152-156 - [c40]Chih-Chung Hsu, Yu-An Jhang, Min-Tso Ko:
Seeing is Not Believing: Toward Forgery Detection for Hyperspectral Image. IGARSS 2023: 5858-5861 - [c39]Chih-Chung Hsu, Chia-Ming Lee, Xiu-Yu Hou, Chi-Han Tsai:
Gradient Boost Tree Network based on Extensive Feature Analysis for Popularity Prediction of Social Posts. ACM Multimedia 2023: 9451-9455 - [c38]Chih-Chung Hsu, Wen-Hai Tseng, Ming-Hsuan Wu, Chia-Ming Lee, Wei-Hao Huang:
Adapting Object Detection to Fisheye Cameras: A Knowledge Distillation with Semi-Pseudo-Label Approach. MMAsia 2023: 111:1-111:6 - [c37]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [i13]Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chi-Han Tsai, Sheng-Chieh Dai:
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans. CoRR abs/2303.08490 (2023) - 2022
- [j8]Chih-Chung Hsu, Chia-Yen Lee, Cheng-Jhong Lin, Hung Yeh:
A comprehensive study of age-related macular degeneration detection. Multim. Tools Appl. 81(9): 11897-11916 (2022) - [j7]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41(10): 2828-2847 (2022) - [c36]Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai:
Spatial-Slice Feature Learning Using Visual Transformer and Essential Slices Selection Module for COVID-19 Detection of CT Scans in the Wild. ECCV Workshops (7) 2022: 621-634 - [c35]Bor-Sheng Huang, Chih-Chung Hsu, Wo-Ting Liao, Han-Yi Kao, Xian-Yun Wang:
DCSN: Deformable Convolutional Semantic Segmentation Neural Network for Non-Rigid Scenes. ICASSP 2022: 4668-4672 - [c34]Chih-Chung Hsu, Sin-Di Ma:
Few-Shot Semantic Segmentation based on Detail-Preserving-Aware Loss. ICCE-TW 2022: 581-582 - [c33]Chih-Chung Hsu, Sheng-Jay Dai, Shao-Ning Chen:
COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer. ICIAP Workshops 2022: 529-535 - [c32]Chih-Chung Hsu, Chieh Lee, Shen-Chieh Tai, Yun-Zhong Jiang:
Augmented-Training-Aware Bisenet for Real-Time Semantic Segmentation. ICME Workshops 2022: 1-6 - [c31]Sophia Yang, Jun-Teng Zhang, Chia-Wen Lin, Chih-Chung Hsu:
GAN-Based Criminal Suspect Face Generator. ICS 2022: 329-340 - [c30]Chih-Chung Hsu, Pi-Ju Tsai, Ting-Chun Yeh, Xiu-Yu Hou:
A Comprehensive Study of Spatiotemporal Feature Learning for Social Medial Popularity Prediction. ACM Multimedia 2022: 7130-7134 - [i12]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR abs/2202.07983 (2022) - [i11]Chih-Chung Hsu, Chi-Han Tsai, Guan-Lin Chen, Sin-Di Ma, Shen-Chieh Tai:
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans. CoRR abs/2207.01579 (2022) - [i10]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR abs/2211.13508 (2022) - 2021
- [j6]Chih-Chung Hsu, Chia-Hsiang Lin, Chi-Hung Kao, Yen-Cheng Lin:
DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite. IEEE Trans. Geosci. Remote. Sens. 59(9): 7773-7789 (2021) - [c29]Chia-Hung Yeh, Daniel Chiu, Li-Wei Kang, Chih-Chung Hsu, Chen Lo:
Generative Adversarial Networks-based Face Hallucination with Identity-Preserving. ICCE-TW 2021: 1-2 - [c28]Guan-Lin Chen, Chih-Chung Hsu, Mei-Hsuan Wu:
Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan Classification. ICCVW 2021: 471-479 - [c27]Chih-Chung Hsu, Chieh Lee, Lin Chen, Min-Kai Hung, Andy Yu-Lun Lin, Xian-Yu Wang:
Efficient-ROD: Efficient Radar Object Detection based on Densely Connected Residual Network. ICMR 2021: 526-532 - [i9]Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen, Ming-Chun Hsyu, Wen-Chia Tsai, Chao-Wei Chen, Grigory Malivenko, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Zheng Shaolong, Hao Dejun, Xie Fen, Feng Zhuang, Yipeng Ma, Jingyang Peng, Tao Wang, Fenglong Song, Chih-Chung Hsu, Kwan-Lin Chen, Mei-Hsuang Wu, Vishal M. Chudasama, Kalpesh Prajapati, Heena Patel, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch, Etienne de Stoutz:
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.07809 (2021) - [i8]Chih-Chung Hsu, Guan-Lin Chen, Mei-Hsuan Wu:
Visual Transformer with Statistical Test for COVID-19 Classification. CoRR abs/2107.05334 (2021) - 2020
- [c26]Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang:
Learning to Predict Risky Driving Behaviors for Autonomous Driving. ICCE-TW 2020: 1-2 - [c25]Chih-Chung Hsu, Kuan-Yu Huang:
Coupled Adversarial Learning for Single Image Super-Resolution. SAM 2020: 1-5 - [c24]Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang, Chia-Hsiang Lin, Chi-Hung Kao:
Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. ACM Multimedia 2020: 4585-4589 - [i7]Chih-Chung Hsu, Hsin-Ti Ma:
Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge. CoRR abs/2007.08919 (2020)
2010 – 2019
- 2019
- [j5]Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung:
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. IEEE Trans. Image Process. 28(12): 6225-6236 (2019) - [c23]Chih-Chung Hsu, Hsin-Ti Ma, Jun-Yi Lee:
SSSNet: Small-Scale-Aware Siamese Network for Gastric Cancer Detection. AVSS 2019: 1-5 - [c22]Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583 - [c21]Chih-Chung Hsu, Chia-Hsiang Lin:
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. ICCV Workshops 2019: 3643-3650 - [c20]Yi-Xiu Zhuang, Chih-Chung Hsu:
Detecting Generated Image Based on a Coupled Network with Two-Step Pairwise Learning. ICIP 2019: 3212-3216 - [c19]Chih-Chung Hsu, Li-Wei Kang, Chia-Yen Lee, Jun-Yi Lee, Zhong-Xuan Zhang, Shao-Min Wu:
Popularity Prediction of Social Media based on Multi-Modal Feature Mining. ACM Multimedia 2019: 2687-2691 - [c18]Chih-Chung Hsu, Cing-Hao Hung, Chih-Yu Jian, Yi-Xiu Zhuang:
Stronger Baseline for Vehicle Re-Identification in the Wild. VCIP 2019: 1-4 - [i6]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/1911.07783 (2019) - [i5]Chih-Chung Hsu, Chia-Hsiang Lin:
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. CoRR abs/1911.08711 (2019) - 2018
- [j4]Chih-Chung Hsu, Chia-Wen Lin:
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data. IEEE Trans. Multim. 20(2): 421-429 (2018) - [c17]Weng-Tai Su, Chih-Chung Hsu, Ziling Huang, Chia-Wen Lin, Gene Cheung:
Joint Pairwise Learning and Image Clustering Based on a Siamese CNN. ICIP 2018: 1992-1996 - [c16]Chih-Chung Hsu, Chia-Yen Lee, Ting-Xuan Liao, Jun-Yi Lee, Tsai-Yne Hou, Ying-Chu Kuo, Jing-Wen Lin, Ching-Yi Hsueh, Zhong-Xuan Zhang, Hsiang-Chin Chien:
An Iterative Refinement Approach for Social Media Headline Prediction. ACM Multimedia 2018: 2008-2012 - [i4]Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung:
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. CoRR abs/1807.08370 (2018) - [i3]Chih-Chung Hsu, Chia-Yen Lee, Ting-Xuan Liao, Jun-Yi Lee, Tsai-Yne Hou, Ying-Chu Kuo, Jing-Wen Lin, Ching-Yi Hsueh, Zhong-Xuan Zhan, Hsiang-Chin Chien:
An Iterative Refinement Approach for Social Media Headline Prediction. CoRR abs/1809.08753 (2018) - [i2]Chih-Chung Hsu, Chia-Yen Lee, Yi-Xiu Zhuang:
Learning to Detect Fake Face Images in the Wild. CoRR abs/1809.08754 (2018) - 2017
- [c15]Chih-Chung Hsu, Chia-Wen Lin:
Unsupervised convolutional neural networks for large-scale image clustering. ICIP 2017: 390-394 - [c14]Chih-Chung Hsu, Ying-Chin Lee, Ping-En Lu, Shian-Shin Lu, Hsiao-Ting Lai, Ching-Chu Huang, Chun Wang, Yang-Jiun Lin, Weng-Tai Su:
Social Media Prediction Based on Residual Learning and Random Forest. ACM Multimedia 2017: 1865-1870 - [c13]Chih-Chung Hsu, Chia-Wen Lin:
Objective quality assessment for video retargeting based on spatio-temporal distortion analysis. VCIP 2017: 1-4 - [i1]Chih-Chung Hsu, Chia-Wen Lin:
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data. CoRR abs/1705.07091 (2017) - 2016
- [c12]Weng-Tai Su, Chih-Chung Hsu, Chia-Wen Lin, Weiyao Lin:
Supervised-learning based face hallucination for enhancing face recognition. ICASSP 2016: 1751-1755 - 2015
- [j3]Chih-Chung Hsu, Li-Wei Kang, Chia-Wen Lin:
Temporally Coherent Superresolution of Textured Video via Dynamic Texture Synthesis. IEEE Trans. Image Process. 24(3): 919-931 (2015) - [j2]Li-Wei Kang, Chih-Chung Hsu, Boqi Zhuang, Chia-Wen Lin, Chia-Hung Yeh:
Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image. IEEE Trans. Multim. 17(7): 921-934 (2015) - 2014
- [j1]Chih-Chung Hsu, Chia-Wen Lin, Yuming Fang, Weisi Lin:
Objective Quality Assessment for Image Retargeting Based on Perceptual Geometric Distortion and Information Loss. IEEE J. Sel. Top. Signal Process. 8(3): 377-389 (2014) - [c11]Chih-Chung Hsu, Li-Wei Kang, Chia-Wen Lin:
Video super-resolution via dynamic texture synthesis. MMSP 2014: 1-6 - 2013
- [c10]Li-Wei Kang, Bo-Chi Chuang, Chih-Chung Hsu, Chia-Wen Lin, Chia-Hung Yeh:
Self-learning-based single image super-resolution of a highly compressed image. MMSP 2013: 224-229 - [c9]Chih-Chung Hsu, Chia-Wen Lin, Yuming Fang, Weisi Lin:
Objective quality assessment for image retargeting based on perceptual distortion and information loss. VCIP 2013: 1-6 - 2011
- [c8]Chih-Chung Hsu, Chia-Wen Lin:
Image super-resolution via feature-based affine transform. MMSP 2011: 1-5 - [c7]Chun-Yu Lin, Chih-Chung Hsu, Chia-Wen Lin, Li-Wei Kang:
Fast deconvolution-based image super-resolution using gradient prior. VCIP 2011: 1-4 - 2010
- [c6]Chih-Chung Hsu, Chia-Wen Lin, Chiou-Ting Hsu, Hong-Yuan Mark Liao, Jen-Yu Yu:
Face hallucination using Bayesian global estimation and local basis selection. MMSP 2010: 449-453
2000 – 2009
- 2009
- [c5]Chih-Chung Hsu, Chia-Wen Lin, Chiou-Ting Hsu, Hong-Yuan Mark Liao:
Cooperative face hallucination using multiple references. ICME 2009: 818-821 - 2008
- [c4]Chih-Chung Hsu, Hsuan-Ting Chang:
Accelerating vector quantization of images using modified run length coding for adaptive block representation and difference measurement. ISCAS 2008: 3494-3497 - [c3]Chih-Chung Hsu, Tzu-Yi Hung, Chia-Wen Lin, Chiou-Ting Hsu:
Video forgery detection using correlation of noise residue. MMSP 2008: 170-174 - 2007
- [c2]Chih-Chung Hsu, Hsuan-Ting Chang, Ting Cheng Chang:
An Improved Face Detection Method in Low-resolution Video. IIH-MSP 2007: 419-422 - 2006
- [c1]Chih-Chung Hsu, Hsuan-Ting Chang, Ting Cheng Chang:
Efficient Moving Object Extraction in Compressed Low-Bit-Rate Video. IIH-MSP 2006: 411-414
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
