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Ruei-Sung Lin
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2020 – today
- 2024
- [c21]Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang:
Bidirectional Autoregressive Diffusion Model for Dance Generation. CVPR 2024: 687-696 - [c20]Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng:
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction. CVPR 2024: 19321-19330 - [i7]Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang:
Bidirectional Autoregressive Diffusion Model for Dance Generation. CoRR abs/2402.04356 (2024) - [i6]Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng:
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction. CoRR abs/2403.02075 (2024) - 2023
- [c19]Yifan Liu, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Haoqian Wang:
Prior-Enhanced Temporal Action Localization Using Subject-Aware Spatial Attention. ICASSP 2023: 1-5 - [i5]Xiaoye Qian, Youbao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin:
HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation. CoRR abs/2301.07322 (2023) - 2022
- [c18]Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. MICCAI (4) 2022: 535-544 - [i4]Yirui Wang, Shenghua He, Youbao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han:
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation. CoRR abs/2207.11325 (2022) - [i3]Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. CoRR abs/2208.13113 (2022) - [i2]Yifan Liu, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Haoqian Wang:
Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention. CoRR abs/2211.05299 (2022)
2010 – 2019
- 2019
- [c17]Zhenjie Cao, Zhicheng Yang, Yanbo Zhang, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Jie Ma:
Deep Learning Based Mass Detection in Mammograms. GlobalSIP 2019: 1-5 - [c16]Nan Qiao, Yi Zhao, Ruei-Sung Lin, Bo Gong, Zhongxiang Wu, Mei Han, Jiashu Liu:
Generative-Discriminative Crop Type Identification using Satellite Images. GlobalSIP 2019: 1-5 - [c15]Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma:
DeepLIMa: Deep Learning Based Lesion Identification in Mammograms. ICCV Workshops 2019: 362-370 - [c14]Zhenjie Cao, Zhicheng Yang, Xinya Liu, Yanbo Zhang, Shibin Wu, Ruei-Sung Lin, Lingyun Huang, Mei Han, Jie Ma:
Deep Learning Based Lesion Detection For Mammograms. ICHI 2019: 1-3 - [i1]Oliver Zhang, Ruei-Sung Lin, Yuchuan Gou:
Optimal Transport Based Generative Autoencoders. CoRR abs/1910.07636 (2019) - 2011
- [c13]Jay Yagnik, Dennis Strelow, David A. Ross, Ruei-Sung Lin:
The power of comparative reasoning. ICCV 2011: 2431-2438 - 2010
- [c12]Ruei-Sung Lin, David A. Ross, Jay Yagnik:
SPEC hashing: Similarity preserving algorithm for entropy-based coding. CVPR 2010: 848-854
2000 – 2009
- 2008
- [j1]David A. Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang:
Incremental Learning for Robust Visual Tracking. Int. J. Comput. Vis. 77(1-3): 125-141 (2008) - 2007
- [c11]Tian-Li Yu, Ruei-Sung Lin, Boaz J. Super, Bei Tang:
Efficient Message Representations for Belief Propagation. ICCV 2007: 1-8 - 2006
- [b1]Ruei-Sung Lin:
Manifold Learning From Time Series. University of Illinois Urbana-Champaign, USA, 2006 - [c10]Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja, Ming-Hsuan Yang:
Dynamic Textures Synthesis as Nonlinear Manifold Learning and Traversing. BMVC 2006: 859-868 - [c9]Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Narendra Ahuja, Stephen E. Levinson:
Learning Nonlinear Manifolds from Time Series. ECCV (2) 2006: 245-256 - [c8]Che-Bin Liu, Ruei-Sung Lin, Ming-Hsuan Yang, Narendra Ahuja, Stephen E. Levinson:
Object Tracking Using Globally Coordinated Nonlinear Manifolds. ICPR (1) 2006: 844-847 - 2005
- [c7]Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja:
Modeling Dynamic Textures Using Subspace Mixtures. ICME 2005: 1378-1381 - 2004
- [c6]Ruei-Sung Lin, Ming-Hsuan Yang, Stephen E. Levinson:
Adaptive Discriminative Generative Model for Object Tracking. ECAI 2004: 505-509 - [c5]Ruei-Sung Lin, Ming-Hsuan Yang, Stephen E. Levinson:
Object Tracking Using Incremental Fisher Discriminant Analysis. ICPR (2) 2004: 757-760 - [c4]Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang:
Incremental Learning for Visual Tracking. NIPS 2004: 793-800 - [c3]Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang:
Adaptive Discriminative Generative Model and Its Applications. NIPS 2004: 801-808 - 2001
- [c2]Weiyu Zhu, Song Wang, Ruei-Sung Lin, Stephen E. Levinson:
Tracking of Object with SVM Regression. CVPR (2) 2001: 240-245
1990 – 1999
- 1997
- [c1]Wen-Pin Tai, Ruei-Sung Lin, Cheng-Yuan Liou:
Blind deconvolution by self-organization. ICNN 1997: 1568-1573
Coauthor Index
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