Ruei-Sung Lin - RankMe

33 papers A* 5A 3B 1Misc 1Journal 10Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ShapeGaussian: High-Fidelity 4D Human Reconstruction in Monocular Videos via Vision Priors. CoRR Zhenxiao Liang, Ning Zhang, Youbao Tang, Ruei-Sung Lin, Qixing Huang, Peng Chang, Jing Xiao
2024	A*	`conf`	Bidirectional Autoregressive Diffusion Model for Dance Generation. CVPR Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang
2024	J	`jnl`	Bidirectional Autoregressive Diffusion Model for Dance Generation. CoRR Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang
2024	A*	`conf`	DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction. CVPR Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng
2024	J	`jnl`	DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction. CoRR Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng
2024	J	`jnl`	ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue. CoRR Zhangpu Li, Changhong Zou, Suxue Ma, Zhicheng Yang, Chen Du, Youbao Tang, Zhenjie Cao, Ning Zhang, Jui-Hsin Lai, Ruei-Sung Lin, Yuan Ni, Xingzhi Sun, Jing Xiao, Jieke Hou, Kai Zhang, Mei Han
2023	J	`jnl`	HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation. CoRR Xiaoye Qian, Youbao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin
2023	Misc	`conf`	Prior-Enhanced Temporal Action Localization Using Subject-Aware Spatial Attention. ICASSP Yifan Liu, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Haoqian Wang
2022	—	`conf`	Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. MICCAI (4) Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin
2022	J	`jnl`	Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. CoRR Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin
2022	J	`jnl`	PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation. CoRR Yirui Wang, Shenghua He, Youbao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han
2022	J	`jnl`	Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention. CoRR Yifan Liu, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Haoqian Wang
2019	—	`conf`	Deep Learning Based Lesion Detection For Mammograms. ICHI Zhenjie Cao, Zhicheng Yang, Xinya Liu, Yanbo Zhang, Shibin Wu, Ruei-Sung Lin, Lingyun Huang, Mei Han, Jie Ma
2019	—	`conf`	Deep Learning Based Mass Detection in Mammograms. GlobalSIP Zhenjie Cao, Zhicheng Yang, Yanbo Zhang, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Jie Ma
2019	—	`conf`	DeepLIMa: Deep Learning Based Lesion Identification in Mammograms. ICCV Workshops Zhenjie Cao, Zhicheng Yang, Xiaoyan Zhuo, Ruei-Sung Lin, Shibin Wu, Lingyun Huang, Mei Han, Yanbo Zhang, Jie Ma
2019	—	`conf`	Generative-Discriminative Crop Type Identification using Satellite Images. GlobalSIP Nan Qiao, Yi Zhao, Ruei-Sung Lin, Bo Gong, Zhongxiang Wu, Mei Han, Jiashu Liu
2019	J	`jnl`	Optimal Transport Based Generative Autoencoders. CoRR Oliver Zhang, Ruei-Sung Lin, Yuchuan Gou
2011	A*	`conf`	The power of comparative reasoning. ICCV Jay Yagnik, Dennis Strelow, David A. Ross, Ruei-Sung Lin
2010	A*	`conf`	SPEC hashing: Similarity preserving algorithm for entropy-based coding. CVPR Ruei-Sung Lin, David A. Ross, Jay Yagnik
2008	J	`jnl`	Incremental Learning for Robust Visual Tracking. Int. J. Comput. Vis. David A. Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang
2007	A*	`conf`	Efficient Message Representations for Belief Propagation. ICCV Tian-Li Yu, Ruei-Sung Lin, Boaz J. Super, Bei Tang
2006	A	`conf`	Dynamic Textures Synthesis as Nonlinear Manifold Learning and Traversing. BMVC Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja, Ming-Hsuan Yang
2006	—	`conf`	Learning Nonlinear Manifolds from Time Series. ECCV (2) Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Narendra Ahuja, Stephen E. Levinson
2006	—	`—`	Manifold Learning From Time Series Ruei-Sung Lin
2006	—	`conf`	Object Tracking Using Globally Coordinated Nonlinear Manifolds. ICPR (1) Che-Bin Liu, Ruei-Sung Lin, Ming-Hsuan Yang, Narendra Ahuja, Stephen E. Levinson
2005	A	`conf`	Modeling Dynamic Textures Using Subspace Mixtures. ICME Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja
2004	—	`conf`	Adaptive Discriminative Generative Model and Its Applications. NIPS Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
2004	A	`conf`	Adaptive Discriminative Generative Model for Object Tracking. ECAI Ruei-Sung Lin, Ming-Hsuan Yang, Stephen E. Levinson
2004	—	`conf`	Incremental Learning for Visual Tracking. NIPS Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang
2004	—	`conf`	Object Tracking Using Incremental Fisher Discriminant Analysis. ICPR (2) Ruei-Sung Lin, Ming-Hsuan Yang, Stephen E. Levinson
2003	B	`conf`	Automatic language acquisition by an autonomous robot. IJCNN Stephen E. Levinson, Weiyu Zhu, Danfeng Li, Kevin Squire, Ruei-Sung Lin, Matthew Kleffner, Matthew McClain, Johnny Lee
2001	—	`conf`	Tracking of Object with SVM Regression. CVPR (2) Weiyu Zhu, Song Wang, Ruei-Sung Lin, Stephen E. Levinson
1997	—	`conf`	Blind deconvolution by self-organization. ICNN Wen-Pin Tai, Ruei-Sung Lin, Cheng-Yuan Liou