High-order RKDG Methods for Computational Electromagnetics. - Min-Hung Chen; Bernardo Cockburn; Fernando Reitich (J. Sci. Comput., 2005)

A Pseudospectral Penalty Scheme for 2D Isotropic Elastic Wave Computations. - Ko-An Feng; Chun-Hao Teng; Min-Hung Chen (J. Sci. Comput., 2007)

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 (CVPR, 2014)

Depth estimation for hand-held light field cameras under low light conditions. - Min-Hung Chen; Ching-Fan Chiang; Yi-Chang Lu (IC3D, 2014)

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 (APSIPA, 2016)

Quadratic adaptive algorithm for solving cardiac action potential models. - Min-Hung Chen; Po-Yuan Chen; Ching-Hsing Luo (Comput. Biol. Medicine, 2016)

Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. - Min-Hung Chen; Zsolt Kira; Ghassan Alregib; Jaekwon Yoo; Ruxin Chen; Jian Zheng (ICCV, 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 Video Domain Adaptation. - Min-Hung Chen; Zsolt Kira; Ghassan AlRegib (CoRR, 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)

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)

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)

Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation. - Min-Hung Chen; Baopu Li; Yingze Bao; Ghassan AlRegib; Zsolt Kira (CVPR, 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 (ICASSP, 2020)

Action Segmentation with Mixed Temporal Domain Adaptation. - Min-Hung Chen; Baopu Li; Yingze Bao; Ghassan AlRegib (WACV, 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)

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)

Bridging distributional discrepancy with temporal dynamics for video understanding. - Min-Hung Chen (2020)

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 004; Kevin Jou (CVPR Workshops, 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; et al. (CoRR, 2021)

CURE-TSD: Challenging Unreal and Real Environment for Traffic Sign Detection. - Dogancan Temel; Tariq Alshawi; Min-Hung Chen; Ghassan AlRegib (IEEE DataPort, 2021)

Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction. - Hitika Tiwari; Min-Hung Chen; Yi-Min Tsai; Hsien-Kai Kuo; Hung-Jen Chen 004; Kevin Jou; K. S. Venkatesh; Yong-Sheng Chen (BMVC, 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 (ECCV Workshops (2), 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 (ICPR, 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)

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 (CVPR Workshops, 2023)

Causalainer: Causal Explainer for Automatic Video Summarization. - Jia-Hong Huang; Chao-Han Huck Yang; Pin-Yu Chen; Min-Hung Chen; Marcel Worring (CVPR Workshops, 2023)

Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction. - Su-Kai Chen; Hung-Lin Yen; Yu-Lun Liu 001; Min-Hung Chen; Hou-Ning Hu; Wen-Hsiao Peng; Yen-Yu Lin (ICCV, 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 (ICCV, 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 (ICCV (Workshops), 2023)

Frequency-Aware Self-Supervised Long-Tailed Learning. - Ci-Siang Lin; Min-Hung Chen; Yu-Chiang Frank Wang (ICCV (Workshops), 2023)

Kinship Representation Learning with Face Componential Relation. - Wen-Tai Su; Min-Hung Chen; Chien-Yi Wang; Shang-Hong Lai; Trista Pei-Chun Chen (ICCV (Workshops), 2023)

Holistic Interaction Transformer Network for Action Detection. - Gueter Josmy Faure; Min-Hung Chen; Shang-Hong Lai (WACV, 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)

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)

Conditional Modeling Based Automatic Video Summarization. - Jia-Hong Huang; Chao-Han Huck Yang; Pin-Yu Chen; Min-Hung Chen; Marcel Worring (CoRR, 2023)

PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation. - Ardian Umam; Cheng-Kun Yang; Min-Hung Chen; Jen-Hui Chuang; Yen-Yu Lin (CVPR, 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 001; Min-Hung Chen; Hou-Ning Hu; Yung-Yu Chuang; Yen-Yu Lin (CVPR, 2024)

DoRA: Weight-Decomposed Low-Rank Adaptation. - Shih-Yang Liu; Chien-Yi Wang; Hongxu Yin; Pavlo Molchanov 001; Yu-Chiang Frank Wang; Kwang-Ting Cheng; Min-Hung Chen (ICML, 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 (ICRA, 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 (NeurIPS, 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)

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)

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)

EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation. - Shih-Yang Liu; Huck Yang; Chein-Yi Wang; Nai Chit Fung; Hongxu Yin; Charbel Sakr; Saurav Muralidharan; Kwang-Ting Cheng; Jan Kautz; Yu-Chiang Frank Wang; Pavlo Molchanov 001; Min-Hung Chen (CoRR, 2024)

Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks. - Miran Heo; Min-Hung Chen; De-An Huang; Sifei Liu; Subhashree Radhakrishnan; Seon Joo Kim; Yu-Chiang Frank Wang; Ryo Hachiuma (CVPR, 2025)

AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360deg Unbounded Scene Inpainting. - Chung-Ho Wu; Yang-Jung Chen; Ying-Huan Chen; Jie-Ying Lee; Bo-Hsu Ke; Chun-Wei Tuan Mu; Yi-Chuan Huang; Chin-Yang Lin; Min-Hung Chen; Yen-Yu Lin; Yu-Lun Liu 001 (CVPR, 2025)

Hymba: A Hybrid-head Architecture for Small Language Models. - Xin Dong 009; Yonggan Fu; Shizhe Diao; Wonmin Byeon; Zijia Chen; Ameya Sunil Mahabaleshwarkar; Shih-Yang Liu; Matthijs Van Keirsbilck; Min-Hung Chen; Yoshi Suhara; Yingyan Celine Lin; Jan Kautz; et al. (ICLR, 2025)

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 (ICLR, 2025)

ORFormer: Occlusion-Robust Transformer for Accurate Facial Landmark Detection. - Jui-Che Chiang; Hou-Ning Hu; Bo-Syuan Hou; Chia-Yu Tseng; Yu-Lun Liu 001; Min-Hung Chen; Yen-Yu Lin (WACV, 2025)

Spatio-Temporal Context Prompting for Zero-Shot Action Detection. - Wei-Jhe Huang; Min-Hung Chen; Shang-Hong Lai (WACV, 2025)

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation. - Ci-Siang Lin; Chien-Yi Wang; Yu-Chiang Frank Wang; Min-Hung Chen (WACV, 2025)

CorrFill: Enhancing Faithfulness in Reference-Based Inpainting with Correspondence Guidance in Diffusion Models. - Kuan-Hung Liu; Cheng-Kun Yang; Min-Hung Chen; Yu-Lun Liu 001; Yen-Yu Lin (WACV, 2025)

AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting. - Chung-Hsien Wu 001; Yang-Jung Chen; Ying-Huan Chen; Jie-Ying Lee; Bo-Hsu Ke; Chun-Wei Tuan Mu; Yi-Chuan Huang; Chin-Yang Lin; Min-Hung Chen; Yen-Yu Lin; Yu-Lun Liu 001 (CoRR, 2025)

V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models. - Hsu-Kuang Chiu; Ryo Hachiuma; Chien-Yi Wang; Stephen F. Smith; Yu-Chiang Frank Wang; Min-Hung Chen (CoRR, 2025)

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning. - Chi-Pin Huang; Yueh-Hua Wu; Min-Hung Chen; Yu-Chiang Frank Wang; Fu-En Yang (CoRR, 2025)