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Ping-Yang Chen
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2020 – today
- 2024
- [j8]Milan Stehlík, Ping-Yang Chen, Weng Kee Wong, Jozef Kiselák:
A Double Exponential Particle Swarm Optimization with non-uniform variates as stochastic tuning and guaranteed convergence to a global optimum with sample applications to finding optimal exact designs in biostatistics. Appl. Soft Comput. 163: 111913 (2024) - [j7]Jun-Wei Hsieh, Cheng-Han Chou, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Chih-Sheng Huang:
Mean-Shift Based Differentiable Architecture Search. IEEE Trans. Artif. Intell. 5(3): 1235-1246 (2024) - [c21]Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Hung-Hin So, Xin Li:
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking. AAAI 2024: 5740-5748 - [c20]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272 - [i9]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CoRR abs/2404.09432 (2024) - 2023
- [c19]Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang:
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. AAAI 2023: 14187-14195 - [c18]I-Sheng Fang, Hsiao-Chieh Wen, Chia-Lun Hsu, Po-Chung Jen, Ping-Yang Chen, Yong-Sheng Chen:
ES3Net: Accurate and Efficient Edge-based Self-Supervised Stereo Matching Network. CVPR Workshops 2023: 4472-4481 - [c17]Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Erkhembayar Ganbold, Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Byambaa Dorj, Hamad Al Jassmi, Ganzorig Batnasan, Fady Alnajjar, Mohammed Abduljabbar, Fang-Pang Lin:
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection. CVPR Workshops 2023: 5305-5313 - [c16]Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Guan-Lin He, Ping-Yang Chen, Wei-Tsung Chang, Yi-Kuan Hsieh:
Video Analytics for Detecting Motorcyclist Helmet Rule Violations. CVPR Workshops 2023: 5366-5374 - [c15]Bor-Shiun Wang, Ping-Yang Chen, Yi-Kuan Hsieh, Jun-Wei Hsieh, Ming-Ching Chang, JiaXin He, Shin-You Teng, HaoYuan Yue, Yu-Chee Tseng:
PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws. CVPR Workshops 2023: 5477-5485 - [c14]Ping-Yang Chen, Jun-Wei Hsieh, Ming-Ching Chang, Munkhjargal Gochoo, Fang-Pang Lin, Yong-Sheng Chen:
Fisheye Multiple Object Tracking by Learning Distortions Without Dewarping. ICIP 2023: 1855-1859 - [i8]Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Erkhembayar Ganbold, Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Byambaa Dorj, Hamad Al Jassmi, Ganzorig Batnasan, Fady Alnajjar, Mohammed Abduljabbar, Fang-Pang Lin:
FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection. CoRR abs/2305.17449 (2023) - 2022
- [j6]Ping-Yang Chen, Hsing-Ming Chang, Yu-Ting Chen, Jung-Ying Tzeng, Sheng-Mao Chang:
TensorTest2D: Fitting Generalized Linear Models with Matrix Covariates. R J. 14(2): 153-164 (2022) - [j5]Munkh-Erdene Otgonbold, Munkhjargal Gochoo, Fady Alnajjar, Luqman Ali, Tan-Hsu Tan, Jun-Wei Hsieh, Ping-Yang Chen:
SHEL5K: An Extended Dataset and Benchmarking for Safety Helmet Detection. Sensors 22(6): 2315 (2022) - [j4]Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Yong-Sheng Chen:
Mixed Stage Partial Network and Background Data Augmentation for Surveillance Object Detection. IEEE Trans. Intell. Transp. Syst. 23(12): 23533-23547 (2022) - [c13]Bor-Shiun Wang, Jun-Wei Hsieh, Yi-Kuan Hsieh, Ping-Yang Chen:
COFENet: Co-Feature Neural Network Model for Fine-Grained Image Classification. ICIP 2022: 3928-3932 - [i7]Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang:
SMILEtrack: SiMIlarity LEarning for Multiple Object Tracking. CoRR abs/2211.08824 (2022) - [i6]Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang:
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. CoRR abs/2212.01287 (2022) - 2021
- [j3]Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen:
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection. IEEE Trans. Image Process. 30: 9099-9111 (2021) - [c12]Bor-Shiun Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Lipeng Ke, Siwei Lyu:
Learnable Discrete Wavelet Pooling (LDW-Pooling) for Convolutional Networks. BMVC 2021: 200 - [c11]Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Yong-Sheng Chen:
Light-Weight Mixed Stage Partial Network for Surveillance Object Detection with Background Data Augmentation. ICIP 2021: 3333-3337 - [c10]Yung-Chih Chen, Jun-Wei Hsieh, Yao-Hong Yang, Chien-Hung Lee, Pei-Yi Yu, Ping-Yang Chen, Arpita Samanta Santa:
Towards Deep Learning-Based Sarcopenia Screening with Body Joint Composition Analysis. ICIP 2021: 3807-3811 - [i5]Jun-Wei Hsieh, Ming-Ching Chang, Ping-Yang Chen, Santanu Santra, Cheng-Han Chou, Chih-Sheng Huang:
MS-DARTS: Mean-Shift Based Differentiable Architecture Search. CoRR abs/2108.09996 (2021) - [i4]Jun-Wei Hsieh, Ming-Ching Chang, Bor-Shiun Wang, Ping-Yang Chen, Lipeng Ke, Siwei Lyu:
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks. CoRR abs/2109.06638 (2021) - 2020
- [c9]Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, I-Hau Yeh:
CSPNet: A New Backbone that can Enhance Learning Capability of CNN. CVPR Workshops 2020: 1571-1580 - [c8]Ping-Yang Chen, Jun-Wei Hsieh, Chien-Yao Wang, Hong-Yuan Mark Liao:
Recursive Hybrid Fusion Pyramid Network for Real-Time Small Object Detection on Embedded Devices. CVPR Workshops 2020: 1612-1621 - [c7]Munkhjargal Gochoo, Tan-Hsu Tan, Fady Alnajjar, Jun-Wei Hsieh, Ping-Yang Chen:
Lownet: Privacy Preserved Ultra-Low Resolution Posture Image Classification. ICIP 2020: 663-667 - [c6]Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Ming-Ching Chang, Chien-Yao Wang, Yong-Sheng Chen, Hong-Yuan Mark Liao:
Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections. ICIP 2020: 1521-1525 - [c5]Pirdiansyah Hendri, Jun-Wei Hsieh, Ping-Yang Chen, Munkhjargal Gochoo, Yong-Sheng Chen:
Deep Real-time Hand Detectoin Using CFPN on Embedded Systems. ICPR 2020: 10128-10133 - [i3]Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen:
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection. CoRR abs/2012.01724 (2020)
2010 – 2019
- 2019
- [c4]Chien-Yao Wang, Ping-Yang Chen, Ming-Chiao Chen, Jun-Wei Hsieh, Hong-Yuan Mark Liao:
Real-Time Video-Based Person Re-Identification Surveillance with Light-Weight Deep Convolutional Networks. AVSS 2019: 1-8 - [c3]Chien-Yao Wang, Hong-Yuan Mark Liao, Ping-Yang Chen, Jun-Wei Hsieh:
Enriching Variety of Layer-Wise Learning Information by Gradient Combination. ICCV Workshops 2019: 2477-2484 - [c2]Ping-Yang Chen, Jun-Wei Hsieh, Munkhjargal Gochoo, Chien-Yao Wang, Hong-Yuan Mark Liao:
Smaller Object Detection for Real-Time Embedded Traffic Flow Estimation Using Fish-Eye Cameras. ICIP 2019: 2956-2960 - [i2]Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh:
CSPNet: A New Backbone that can Enhance Learning Capability of CNN. CoRR abs/1911.11929 (2019) - [i1]Ping-Yang Chen, Jun-Wei Hsieh, Chien-Yao Wang, Hong-Yuan Mark Liao, Munkhjargal Gochoo:
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection. CoRR abs/1911.12051 (2019) - 2018
- [j2]Ping-Yang Chen, Ray-Bing Chen, C. Devon Lin:
Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions. Comput. Stat. Data Anal. 118: 84-97 (2018) - 2017
- [j1]Ping-Yang Chen, Ching-Chuan Chen, Chun-Hao Yang, Sheng-Mao Chang, Kuo-Jung Lee:
milr: Multiple-Instance Logistic Regression with Lasso Penalty. R J. 9(1): 446 (2017) - [c1]Ping-Yang Chen, Chi-Chun Hsia, Yen-Hao Su, Ray-Bing Chen, Sheng-Mao Chang:
Feedback Control for Binary Response. TAAI 2017: 21-24
Coauthor Index
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last updated on 2024-10-11 18:24 CEST by the dblp team
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