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ORCIDMin-Hung Chen
Person information
Other persons with a similar name
- Frank (Ming-Hung) Chen
- Hung-Ming Chen
- Ming-Hung Chen
- Hung-Ming Cheng — disambiguation page
- Marvin H. M. Cheng
![[0000-0001-7908-3635]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7908-3635")
(aka: Hung-Ming Cheng 0001) — West Virginia University, Department of Mechanical and Aerospace Engineering, Morgantown, WV, USA (and 1 more) - Ming-Hung Cheng
- Chen-Ming Hung
- Min-Cheng Hung
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2020 – today
- 2024
[c23]Ardian Umam, Cheng-Kun Yang, Min-Hung Chen, Jen-Hui Chuang, Yen-Yu Lin:
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation. CVPR 2024: 3470-3479- [c22]Ji-Jia Wu, Andy Chia-Hao Chang, Chieh-Yu Chuang, Chun-Pei Chen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Yung-Yu Chuang, Yen-Yu Lin:
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation. CVPR 2024: 26784-26793 - [c21]Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen:
DoRA: Weight-Decomposed Low-Rank Adaptation. ICML 2024 - [c20]Hsu-Kuang Chiu, Chien-Yi Wang, Min-Hung Chen, Stephen F. Smith:
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter. ICRA 2024: 18458-18464 - [i34]Ci-Siang Lin, Chien-Yi Wang, Yu-Chiang Frank Wang, Min-Hung Chen:
SemPLeS: Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation. CoRR abs/2401.11791 (2024) - [i33]Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen:
DoRA: Weight-Decomposed Low-Rank Adaptation. CoRR abs/2402.09353 (2024) - [i32]Ji-Jia Wu, Andy Chia-Hao Chang, Chieh-Yu Chuang, Chun-Pei Chen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Yung-Yu Chuang, Yen-Yu Lin:
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation. CoRR abs/2404.04231 (2024) - [i31]Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun:
Diffusion-Reward Adversarial Imitation Learning. CoRR abs/2405.16194 (2024) - [i30]Ci-Siang Lin, I-Jieh Liu, Min-Hung Chen, Chien-Yi Wang, Sifei Liu, Yu-Chiang Frank Wang:
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation. CoRR abs/2406.12834 (2024) - [i29]Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma:
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP. CoRR abs/2408.10202 (2024) - [i28]Wei-Jhe Huang, Min-Hung Chen, Shang-Hong Lai:
Spatio-Temporal Context Prompting for Zero-Shot Action Detection. CoRR abs/2408.15996 (2024) - [i27]Gueter Josmy Faure, Jia-Fong Yeh, Min-Hung Chen, Hung-Ting Su, Winston H. Hsu, Shang-Hong Lai:
Bridging Episodes and Semantics: A Novel Framework for Long-Form Video Understanding. CoRR abs/2408.17443 (2024) - 2023
- [c19]Chih-Jung Chang, Yaw-Chern Lee, Shih-Hsuan Yao, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen:
A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing. CVPR Workshops 2023: 1081-1091 - [c18]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. CVPR Workshops 2023: 2630-2636 - [c17]Cheng-Kun Yang, Min-Hung Chen, Yung-Yu Chuang, Yen-Yu Lin:
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision. ICCV 2023: 977-987 - [c16]Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Wen-Hsiao Peng, Yen-Yu Lin:
Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction. ICCV 2023: 12944-12954 - [c15]Wei-Jhe Huang, Jheng-Hsien Yeh, Min-Hung Chen, Gueter Josmy Faure, Shang-Hong Lai:
Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection. ICCV (Workshops) 2023: 284-293 - [c14]Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang:
Frequency-Aware Self-Supervised Long-Tailed Learning. ICCV (Workshops) 2023: 963-972 - [c13]Wen-Tai Su, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen:
Kinship Representation Learning with Face Componential Relation. ICCV (Workshops) 2023: 3097-3106 - [c12]Gueter Josmy Faure, Min-Hung Chen, Shang-Hong Lai:
Holistic Interaction Transformer Network for Action Detection. WACV 2023: 3329-3339 - [i26]Weng-Tai Su, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen:
Kinship Representation Learning with Face Componential Relation. CoRR abs/2304.04546 (2023) - [i25]Wei-Jhe Huang, Jheng-Hsien Yeh, Gueter Josmy Faure, Min-Hung Chen, Shang-Hong Lai:
Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection. CoRR abs/2304.04688 (2023) - [i24]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. CoRR abs/2305.00455 (2023) - [i23]Chih-Jung Chang, Yaw-Chern Lee, Shih-Hsuan Yao, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen:
A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing. CoRR abs/2306.14313 (2023) - [i22]Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen, Szu-Wei Fu, Yu-Chiang Frank Wang:
QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge. CoRR abs/2306.17404 (2023) - [i21]Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Wen-Hsiao Peng, Yen-Yu Lin:
Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction. CoRR abs/2309.03900 (2023) - [i20]Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang:
Frequency-Aware Self-Supervised Long-Tailed Learning. CoRR abs/2309.04723 (2023) - [i19]Hsu-Kuang Chiu, Chien-Yi Wang, Min-Hung Chen, Stephen F. Smith:
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter. CoRR abs/2309.14655 (2023) - [i18]Cheng-Kun Yang, Min-Hung Chen, Yung-Yu Chuang, Yen-Yu Lin:
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision. CoRR abs/2310.12817 (2023) - [i17]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Conditional Modeling Based Automatic Video Summarization. CoRR abs/2311.12159 (2023) - [i16]Ardian Umam, Cheng-Kun Yang, Min-Hung Chen, Jen-Hui Chuang, Yen-Yu Lin:
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation. CoRR abs/2312.04016 (2023) - 2022
- [j8]Ying-Jung Yvonne Yeh, Min-Hung Chen:
Examining the Primacy and Recency Effect on Learning Effectiveness with the Application of Interactive Response Systems (Irs). Technol. Knowl. Learn. 27(3): 957-970 (2022) - [c11]Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen:
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction. BMVC 2022: 220 - [c10]Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. ECCV Workshops (2) 2022: 729-746 - [c9]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. ICPR 2022: 677-684 - [i15]Gueter Josmy Faure, Min-Hung Chen, Shang-Hong Lai:
Holistic Interaction Transformer Network for Action Detection. CoRR abs/2210.12686 (2022) - [i14]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. CoRR abs/2211.06263 (2022) - [i13]Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. CoRR abs/2211.06770 (2022) - 2021
- [c8]Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou:
Network Space Search for Pareto-Efficient Spaces. CVPR Workshops 2021: 3053-3062 - [d1]Dogancan Temel, Tariq Alshawi, Min-Hung Chen, Ghassan AlRegib:
CURE-TSD: Challenging Unreal and Real Environment for Traffic Sign Detection. IEEE DataPort, 2021
- [i12]Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib:
Action Segmentation with Mixed Temporal Domain Adaptation. CoRR abs/2104.07461 (2021) - [i11]Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou:
Network Space Search for Pareto-Efficient Spaces. CoRR abs/2104.11014 (2021) - [i10]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) - [i9]Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen:
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction. CoRR abs/2112.14382 (2021) - 2020
- [j7]Xing-Ji Chen, Ching-Hsing Luo, Min-Hung Chen:
Combination of "generalized Trotter operator splitting" and "quadratic adaptive algorithm" method for tradeoff among speedup, stability, and accuracy in the Markov chain model of sodium ion channels in the ventricular cell model. Medical Biol. Eng. Comput. 58(9): 2131-2141 (2020) - [j6]Dogancan Temel, Min-Hung Chen, Ghassan AlRegib:
Traffic Sign Detection Under Challenging Conditions: A Deeper Look into Performance Variations and Spectral Characteristics. IEEE Trans. Intell. Transp. Syst. 21(9): 3663-3673 (2020) - [c7]Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira:
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation. CVPR 2020: 9451-9460 - [c6]Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai:
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. ICASSP 2020: 2338-2342 - [c5]Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib:
Action Segmentation with Mixed Temporal Domain Adaptation. WACV 2020: 594-603 - [i8]Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira:
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation. CoRR abs/2003.02824 (2020)
2010 – 2019
- 2019
- [j5]Xing-Ji Chen, Ching-Hsing Luo, Min-Hung Chen, Xiang Zhou:
Combination of "quadratic adaptive algorithm" and "hybrid operator splitting" or uniformization algorithms for stability against acceleration in the Markov model of sodium ion channels in the ventricular cell model. Medical Biol. Eng. Comput. 57(6): 1367-1379 (2019) - [j4]Chih-Yao Ma, Min-Hung Chen, Zsolt Kira, Ghassan AlRegib:
TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition. Signal Process. Image Commun. 71: 76-87 (2019) - [c4]Min-Hung Chen, Zsolt Kira, Ghassan Alregib, Jaekwon Yoo, Ruxin Chen, Jian Zheng:
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. ICCV 2019: 6320-6329 - [i7]Dogancan Temel, Tariq Alshawi, Min-Hung Chen, Ghassan AlRegib:
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions. CoRR abs/1902.06857 (2019) - [i6]Min-Hung Chen, Zsolt Kira, Ghassan AlRegib:
Temporal Attentive Alignment for Video Domain Adaptation. CoRR abs/1905.10861 (2019) - [i5]Jian Zheng, Sudha Krishnamurthy, Ruxin Chen, Min-Hung Chen, Zhenhao Ge, Xiaohua Li:
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding. CoRR abs/1906.06632 (2019) - [i4]Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng:
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. CoRR abs/1907.12743 (2019) - [i3]Dogancan Temel, Min-Hung Chen, Ghassan AlRegib:
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics. CoRR abs/1908.11262 (2019) - [i2]Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai:
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. CoRR abs/1911.02172 (2019) - 2017
- [i1]Chih-Yao Ma, Min-Hung Chen, Zsolt Kira, Ghassan AlRegib:
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition. CoRR abs/1703.10667 (2017) - 2016
- [j3]Min-Hung Chen, Po-Yuan Chen, Ching-Hsing Luo:
Quadratic adaptive algorithm for solving cardiac action potential models. Comput. Biol. Medicine 77: 261-273 (2016) - [c3]Che-Wei Chang, Min-Hung Chen, Kuan-Chang Chen, Chi-Ming Yeh, Yi-Chang Lu:
Mask design for pinhole-array-based hand-held light field cameras with applications in depth estimation. APSIPA 2016: 1-4 - 2014
- [c2]Yen-Yu Lin, Ju-Hsuan Hua, Nick C. Tang, Min-Hung Chen, Hong-Yuan Mark Liao:
Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras. CVPR 2014: 2617-2624 - [c1]Min-Hung Chen, Ching-Fan Chiang, Yi-Chang Lu:
Depth estimation for hand-held light field cameras under low light conditions. IC3D 2014: 1-4
2000 – 2009
- 2007
- [j2]Ko-An Feng, Chun-Hao Teng, Min-Hung Chen:
A Pseudospectral Penalty Scheme for 2D Isotropic Elastic Wave Computations. J. Sci. Comput. 33(3): 313-348 (2007) - 2005
- [j1]Min-Hung Chen, Bernardo Cockburn, Fernando Reitich:
High-order RKDG Methods for Computational Electromagnetics. J. Sci. Comput. 22(1): 205-226 (2005)
Coauthor Index
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