Min-Hung Chen

According to our database, Min-Hung Chen authored at least 46 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bridging Episodes and Semantics: A Novel Framework for Long-Form Video Understanding.

Gueter Josmy Faure, Jia-Fong Yeh, Min-Hung Chen, Hung-Ting Su, Winston H. Hsu, Shang-Hong Lai

CoRR, 2024

Spatio-Temporal Context Prompting for Zero-Shot Action Detection.

Wei-Jhe Huang, Min-Hung Chen, Shang-Hong Lai

CoRR, 2024

SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP.

Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma

CoRR, 2024

GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation.

Ci-Siang Lin, I-Jieh Liu, Min-Hung Chen, Chien-Yi Wang, Sifei Liu, Yu-Chiang Frank Wang

CoRR, 2024

Diffusion-Reward Adversarial Imitation Learning.

Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun

CoRR, 2024

SemPLeS: Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation.

Ci-Siang Lin, Chien-Yi Wang, Yu-Chiang Frank Wang, Min-Hung Chen

CoRR, 2024

Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter.

Hsu-Kuang Chiu, Chien-Yi Wang, Min-Hung Chen, Stephen F. Smith

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

DoRA: Weight-Decomposed Low-Rank Adaptation.

Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation.

Ardian Umam, Cheng-Kun Yang, Min-Hung Chen, Jen-Hui Chuang, Yen-Yu Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Conditional Modeling Based Automatic Video Summarization.

Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring

CoRR, 2023

QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge.

Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen, Szu-Wei Fu, Yu-Chiang Frank Wang

CoRR, 2023

Kinship Representation Learning with Face Componential Relation.

Weng-Tai Su, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen

CoRR, 2023

Holistic Interaction Transformer Network for Action Detection.

Gueter Josmy Faure, Min-Hung Chen, Shang-Hong Lai

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Kinship Representation Learning with Face Componential Relation.

Wen-Tai Su, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Frequency-Aware Self-Supervised Long-Tailed Learning.

Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection.

Wei-Jhe Huang, Jheng-Hsien Yeh, Min-Hung Chen, Gueter Josmy Faure, Shang-Hong Lai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision.

Cheng-Kun Yang, Min-Hung Chen, Yung-Yu Chuang, Yen-Yu Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction.

Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Wen-Hsiao Peng, Yen-Yu Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Causalainer: Causal Explainer for Automatic Video Summarization.

Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing.

Chih-Jung Chang, Yaw-Chern Lee, Shih-Hsuan Yao, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Examining the Primacy and Recency Effect on Learning Effectiveness with the Application of Interactive Response Systems (Irs).

Ying-Jung Yvonne Yeh, Min-Hung Chen

Technol. Knowl. Learn., 2022

PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks.

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

Proceedings of the 26th International Conference on Pattern Recognition, 2022

MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction.

Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

CURE-TSD: Challenging Unreal and Real Environment for Traffic Sign Detection.

Dogancan Temel, Tariq Alshawi, Min-Hung Chen, Ghassan AlRegib

Dataset, September, 2021

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report.

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

CoRR, 2021

Network Space Search for Pareto-Efficient Spaces.

Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Bridging distributional discrepancy with temporal dynamics for video understanding.

Min-Hung Chen

PhD thesis, 2020

Traffic Sign Detection Under Challenging Conditions: A Deeper Look into Performance Variations and Spectral Characteristics.

Dogancan Temel, Min-Hung Chen, Ghassan AlRegib

IEEE Trans. Intell. Transp. Syst., 2020

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.

Xing-Ji Chen, Ching-Hsing Luo, Min-Hung Chen

Medical Biol. Eng. Comput., 2020

Action Segmentation with Mixed Temporal Domain Adaptation.

Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding.

Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation.

Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, Zsolt Kira

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition.

Chih-Yao Ma, Min-Hung Chen, Zsolt Kira, Ghassan AlRegib

Signal Process. Image Commun., 2019

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.

Xing-Ji Chen, Ching-Hsing Luo, Min-Hung Chen, Xiang Zhou

Medical Biol. Eng. Comput., 2019

Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding.

Jian Zheng, Sudha Krishnamurthy, Ruxin Chen, Min-Hung Chen, Zhenhao Ge, Xiaohua Li

CoRR, 2019

Temporal Attentive Alignment for Video Domain Adaptation.

Min-Hung Chen, Zsolt Kira, Ghassan AlRegib

CoRR, 2019

Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions.

Dogancan Temel, Tariq Alshawi, Min-Hung Chen, Ghassan AlRegib

CoRR, 2019

Temporal Attentive Alignment for Large-Scale Video Domain Adaptation.

Min-Hung Chen, Zsolt Kira, Ghassan Alregib, Jaekwon Yoo, Ruxin Chen, Jian Zheng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016

Quadratic adaptive algorithm for solving cardiac action potential models.

Min-Hung Chen, Po-Yuan Chen, Ching-Hsing Luo

Comput. Biol. Medicine, 2016

Mask design for pinhole-array-based hand-held light field cameras with applications in depth estimation.

Che-Wei Chang, Min-Hung Chen, Kuan-Chang Chen, Chi-Ming Yeh, Yi-Chang Lu

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2014

Depth estimation for hand-held light field cameras under low light conditions.

Min-Hung Chen, Ching-Fan Chiang, Yi-Chang Lu

Proceedings of the 2014 International Conference on 3D Imaging, 2014

Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras.

Yen-Yu Lin, Ju-Hsuan Hua, Nick C. Tang, Min-Hung Chen, Hong-Yuan Mark Liao

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2007

A Pseudospectral Penalty Scheme for 2D Isotropic Elastic Wave Computations.

Ko-An Feng, Chun-Hao Teng, Min-Hung Chen

J. Sci. Comput., 2007

2005

High-order RKDG Methods for Computational Electromagnetics.

Min-Hung Chen, Bernardo Cockburn, Fernando Reitich

J. Sci. Comput., 2005