Ruei-Sung Lin

According to our database, Ruei-Sung Lin authored at least 26 papers between 1997 and 2024.

Collaborative distances:

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

2024

DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction.

Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng

CoRR, 2024

Bidirectional Autoregressive Diffusion Model for Dance Generation.

Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang

CoRR, 2024

2023

HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation.

Xiaoye Qian, Youbao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin

CoRR, 2023

Prior-Enhanced Temporal Action Localization Using Subject-Aware Spatial Attention.

Yifan Liu, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Haoqian Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation.

Yirui Wang, Shenghua He, Youbao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han

CoRR, 2022

Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers.

Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2019

Optimal Transport Based Generative Autoencoders.

Oliver Zhang, Ruei-Sung Lin, Yuchuan Gou

CoRR, 2019

Deep Learning Based Lesion Detection For Mammograms.

Zhenjie Cao, Zhicheng Yang, Xinya Liu, Yanbo Zhang, Shibin Wu, Ruei-Sung Lin, Lingyun Huang, Mei Han, Jie Ma

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

DeepLIMa: Deep Learning Based Lesion Identification in Mammograms.

Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma

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

Generative-Discriminative Crop Type Identification using Satellite Images.

Nan Qiao, Yi Zhao, Ruei-Sung Lin, Bo Gong, Zhongxiang Wu, Mei Han, Jiashu Liu

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Deep Learning Based Mass Detection in Mammograms.

Zhenjie Cao, Zhicheng Yang, Yanbo Zhang, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Jie Ma

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2011

The power of comparative reasoning.

Jay Yagnik, Dennis Strelow, David A. Ross, Ruei-Sung Lin

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

SPEC hashing: Similarity preserving algorithm for entropy-based coding.

Ruei-Sung Lin, David A. Ross, Jay Yagnik

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Incremental Learning for Robust Visual Tracking.

David A. Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang

Int. J. Comput. Vis., 2008

2007

Efficient Message Representations for Belief Propagation.

Tian-Li Yu, Ruei-Sung Lin, Boaz J. Super, Bei Tang

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Manifold Learning From Time Series

Ruei-Sung Lin

PhD thesis, 2006

Object Tracking Using Globally Coordinated Nonlinear Manifolds.

Che-Bin Liu, Ruei-Sung Lin, Ming-Hsuan Yang, Narendra Ahuja, Stephen E. Levinson

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Learning Nonlinear Manifolds from Time Series.

Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Narendra Ahuja, Stephen E. Levinson

Proceedings of the Computer Vision, 2006

Dynamic Textures Synthesis as Nonlinear Manifold Learning and Traversing.

Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja, Ming-Hsuan Yang

Proceedings of the British Machine Vision Conference 2006, 2006

2005

Modeling Dynamic Textures Using Subspace Mixtures.

Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

2004

Adaptive Discriminative Generative Model and Its Applications.

Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Incremental Learning for Visual Tracking.

Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Object Tracking Using Incremental Fisher Discriminant Analysis.

Ruei-Sung Lin, Ming-Hsuan Yang, Stephen E. Levinson

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Adaptive Discriminative Generative Model for Object Tracking.

Ruei-Sung Lin, Ming-Hsuan Yang, Stephen E. Levinson

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2001

Tracking of Object with SVM Regression.

Weiyu Zhu, Song Wang, Ruei-Sung Lin, Stephen E. Levinson

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

1997

Blind deconvolution by self-organization.

Wen-Pin Tai, Ruei-Sung Lin, Cheng-Yuan Liou

Proceedings of International Conference on Neural Networks (ICNN'97), 1997