Yang, Ming-Hsuan

Online Object Tracking: A Benchmark

Wu, Y., Lim, J., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 4,138

Object Tracking Benchmark

Wu, Y., Lim, J., & Yang, M.-H. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 3,371

Incremental Learning for Robust Visual Tracking

Ross, D. A., Lim, J., Lin, R.-S., & Yang, M.-H. (2008) · International Journal of Computer Vision

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 3,061

Saliency Detection via Graph-Based Manifold Ranking

Yang, C., Zhang, L., Lu, H., Ruan, X., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Visual Attention and Saliency DetectionAdvanced Image and Video Retrieval Techniques

Cited by 2,554

Diffusion Models: A Comprehensive Survey of Methods and Applications

Yang, L., Zhang, Z., Song, Y., Hong, S., Xu, R., Zhao, Y., Zhang, W., Cui, B., & Yang, M.-H. (2024) · ACM Computing Surveys

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 1,704

Robust object tracking via sparsity-based collaborative model

Zhong, W., Lu, H., & Yang, M.-H. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 990

Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking

Li, F., Tian, C., Zuo, W., Zhang, L., & Yang, M.-H. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 935

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

Wen, L., Du, D., Cai, Z., Lei, Z., Chang, M.-C., Qi, H., Lim, J., Yang, M.-H., & Lyu, S. (2020) · Computer Vision and Image Understanding

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 804

V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer

Xu, R., Xiang, H., Tu, Z., Xia, X., Yang, M.-H., & Ma, J. (2022) · Lecture Notes in Computer Science

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 584

Intriguing Properties of Vision Transformers

Naseer, M., Ranasinghe, K., Khan, S., Hayat, M., Khan, F. S., & Yang, M.-H. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 431

Progressive Domain Adaptation for Object Detection

Hsu, H.-K., Yao, C.-H., Tsai, Y.-H., Hung, W.-C., Tseng, H.-Y., Singh, M., & Yang, M.-H. (2020) · 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 382

Online Multi-Object Tracking with Dual Matching Attention Networks

Zhu, J., Yang, H., Liu, N., Kim, M., Zhang, W., & Yang, M.-H. (2018) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 377

Learning to Localize Sound Source in Visual Scenes

Senocak, A., Oh, T.-H., Kim, J., Yang, M.-H., & Kweon, I. S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Speech and Audio ProcessingMusic and Audio Processing

Cited by 328

Foundation Models Defining a New Era in Vision: A Survey and Outlook

Awais, M., Naseer, M., Khan, S., Anwer, R. M., Cholakkal, H., Shah, M., Yang, M.-H., & Khan, F. S. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 304

Weakly Supervised Object Localization and Detection: A Survey

Zhang, D., Han, J., Cheng, G., & Yang, M.-H. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 277

DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

Zhou, X., Lin, Z., Shan, X., Wang, Y., Sun, D., & Yang, M.-H. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 248

Muse: Text-To-Image Generation via Masked Generative Transformers

Chang, H., Zhang, H., Barber, J., Maschinot, A., Lezama, J., Jiang, L., Yang, M.-H., Murphy, K., Freeman, W. T., Rubinstein, M., et al. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 157

Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking

Ma, C., Huang, J.-B., Yang, X., & Yang, M.-H. (2018) · International Journal of Computer Vision

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 156

Large-Scale Unsupervised Semantic Segmentation

Gao, S., Li, Z.-Y., Yang, M.-H., Cheng, M.-M., Han, J., & Torr, P. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 88

The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation

Qi, Y., Pan, Z., Hong, Y., Yang, M.-H., van den Hengel, A., & Wu, Q. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 80

Deep Reinforcement Active Learning for Medical Image Classification

Wang, J., Yan, Y., Zhang, Y., Cao, G., Yang, M., & Ng, M. K. (2020) · Lecture Notes in Computer Science

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 31

LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Kumar, K., Ashraf, T., Thawakar, O., Anwer, R. M., Cholakkal, H., Shah, M., Yang, M.-H., Torr, P. H. S., Khan, F. S., & Khan, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10