Yu-Shen Liu - RankMe

214 papers A* 60A 3B 1C 2Journal 138Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D Gaussian Splatting with Self-Constrained Priors for High Fidelity Surface Reconstruction. CoRR Takeshi Noda, Yu-Shen Liu, Zhizhong Han
2026	J	`jnl`	AnchoredDream: Zero-Shot 360° Indoor Scene Generation from a Single View via Geometric Grounding. CoRR Runmao Yao, Junsheng Zhou, Zhen Dong, Yu-Shen Liu
2026	J	`jnl`	I-Filtering: Implicit Filtering for Learning Neural Distance Functions From 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Shengtao Li, Yudong Liu, Ge Gao, Ming Gu, Yu-Shen Liu
2026	J	`jnl`	MoRe: Motion-aware Feed-forward 4D Reconstruction Transformer. CoRR Juntong Fang, Zequn Chen, Weiqi Zhang, Donglin Di, Xuancheng Zhang, Chengmin Yang, Yu-Shen Liu
2026	J	`jnl`	PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation. IEEE Trans. Vis. Comput. Graph. Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2026	A*	`conf`	VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction. AAAI Peng Xiang, Liang Han, Hui Zhang, Yu-Shen Liu, Zhizhong Han
2026	J	`jnl`	VRP-UDF: Toward Unbiased Learning of Unsigned Distance Functions From Multi-View Images With Volume Rendering Priors. IEEE Trans. Pattern Anal. Mach. Intell. Wenyuan Zhang, Chunsheng Wang, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	3D Shape Contrastive Representation Learning With Adversarial Examples. IEEE Trans. Multim. Congcong Wen, Xiang Li, Hao Huang, Yu-Shen Liu, Yi Fang
2025	A*	`conf`	FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency. AAAI Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu
2025	J	`jnl`	FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency. CoRR Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu
2025	J	`jnl`	GAP: Gaussianize Any Point Clouds with Text Guidance. CoRR Weiqi Zhang, Junsheng Zhou, Haotian Geng, Wenyuan Zhang, Yu-Shen Liu
2025	A*	`conf`	GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting. CVPR Shujuan Li, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting. CoRR Shujuan Li, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation. CoRR Yijie Deng, Shuaihang Yuan, Geeta Chandra Raju Bethala, Anthony Tzes, Yu-Shen Liu, Yi Fang
2025	J	`jnl`	High-resolution synthetic aperture imaging method and benchmark based on event-frame fusion. Inf. Fusion Siqi Li, Yipeng Li, Yu-Shen Liu, Shaoyi Du, Jun-Hai Yong, Yue Gao
2025	J	`jnl`	Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis. CoRR Yikang Ding, Jiwen Liu, Wenyuan Zhang, Zekun Wang, Wentao Hu, Liyuan Cui, Mingming Lao, Yingchao Shao, Hui Liu, Xiaohan Li, Ming Chen, Xiaoqiang Liu, Yu-Shen Liu, Pengfei Wan
2025	A*	`conf`	Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation. CVPR Takeshi Noda, Chao Chen, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation. CoRR Takeshi Noda, Chao Chen, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	Learning Normals of Noisy Points by Local Gradient-Aware Surface Filtering. CoRR Qing Li, Huifang Feng, Xun Gong, Yu-Shen Liu
2025	J	`jnl`	MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference. CoRR Wenyuan Zhang, Jimin Tang, Weiqi Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han
2025	A*	`conf`	MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction. CVPR Wenyuan Zhang, Yixiao Yang, Han Huang, Liang Han, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction. CoRR Wenyuan Zhang, Yixiao Yang, Han Huang, Liang Han, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2025	A*	`conf`	NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction. CVPR Wenyuan Zhang, Emily Yue-Ting Jia, Junsheng Zhou, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction. CoRR Wenyuan Zhang, Emily Yue-Ting Jia, Junsheng Zhou, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	NeuralTPS: Learning Signed Distance Functions Without Priors From Single Sparse Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Chao Chen, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation. CoRR Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	RGB-D Visual Perception for Occluded Scenes via Event Camera. Int. J. Comput. Vis. Si-Qi Li, Zongze Wu, Yipeng Li, Zhou Xue, Yu-Shen Liu, Yue Gao
2025	J	`jnl`	Retrieval-Specific View Learning for Sketch-to-Shape Retrieval. IEEE Trans. Multim. Shuaihang Yuan, Congcong Wen, Yu-Shen Liu, Yi Fang
2025	A*	`conf`	Sharpening Neural Implicit Functions with Frequency Consolidation Priors. AAAI Chao Chen, Yu-Shen Liu, Zhizhong Han
2025	A	`conf`	Socially-Aware Robot Navigation Enhanced by Bidirectional Natural Language Conversations Using Large Language Models. IROS Congcong Wen, Yifan Liu, Geeta Chandra Raju Bethala, Shuaihang Yuan, Hao Huang, Yu Hao, Mengyu Wang, Yu-Shen Liu, Anthony Tzes, Yi Fang
2025	A*	`conf`	Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views. AAAI Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu
2025	J	`jnl`	Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views. CoRR Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu
2025	J	`jnl`	SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies. CoRR Liang Han, Xu Zhang, Haichuan Song, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	Topology guaranteed and error controlled curve tracing for parametric surface-surface intersection. Comput. Aided Geom. Des. Bingwei Zhang, Jin-San Cheng, Yu-Shen Liu, Zhaoqi Zhang
2025	J	`jnl`	U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching. CoRR Junsheng Zhou, Xingyu Shi, Haichuan Song, Yi Fang, Yu-Shen Liu, Zhizhong Han
2025	J	`jnl`	VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment. CoRR Qing Li, Huifang Feng, Xun Gong, Yu-Shen Liu
2024	A*	`conf`	3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. ICRA Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han
2024	A*	`conf`	Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis. NeurIPS Liang Han, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis. CoRR Liang Han, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Yi Fang, Zhizhong Han
2024	A*	`conf`	DiffGS: Functional Gaussian Splatting Diffusion. NeurIPS Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu
2024	J	`jnl`	DiffGS: Functional Gaussian Splatting Diffusion. CoRR Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu
2024	A	`conf`	EMBOSR: Embodied Spatial Reasoning for Enhanced Situated Question Answering in 3D Scenes. IROS Yu Hao, Fan Yang, Nicholas Fang, Yu-Shen Liu
2024	J	`jnl`	Enhancing Socially-Aware Robot Navigation through Bidirectional Natural Language Conversation. CoRR Congcong Wen, Yifan Liu, Geeta Chandra Raju Bethala, Zheng Peng, Hui Lin, Yu-Shen Liu, Yi Fang
2024	J	`jnl`	Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping. IEEE Trans. Pattern Anal. Mach. Intell. Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping. CoRR Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han
2024	—	`conf`	Goal-Driven Transformer for Robot Behavior Learning from Play Data. ICPR (30) Congcong Wen, Jiazhao Liang, Shuaihang Yuan, Hao Huang, Yu Hao, Hui Lin, Yu-Shen Liu, Yi Fang
2024	A*	`conf`	GridFormer: Point-Grid Transformer for Surface Reconstruction. AAAI Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu
2024	J	`jnl`	GridFormer: Point-Grid Transformer for Surface Reconstruction. CoRR Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu
2024	J	`jnl`	Hypergraph-Based Multi-Modal Representation for Open-Set 3D Object Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Feng, Shuyi Ji, Yu-Shen Liu, Shaoyi Du, Qionghai Dai, Yue Gao
2024	—	`conf`	Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds. ECCV (6) Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu
2024	J	`jnl`	Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds. CoRR Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu
2024	A*	`conf`	Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images. ACM Multimedia Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han
2024	A*	`conf`	Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors. NeurIPS Chao Chen, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors. CoRR Chao Chen, Yu-Shen Liu, Zhizhong Han
2024	A*	`conf`	Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. AAAI Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han
2024	—	`conf`	Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes. ECCV (48) Chao Chen, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes. CoRR Chao Chen, Zhizhong Han, Yu-Shen Liu
2024	J	`jnl`	Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2024	—	`conf`	Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. ECCV (49) Wenyuan Zhang, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. CoRR Wenyuan Zhang, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	MuSic-UDF: Learning Multi-Scale dynamic grid representation for high-fidelity surface reconstruction from point clouds. Comput. Graph. Chuan Jin, Tieru Wu, Yu-Shen Liu, Junsheng Zhou
2024	A*	`conf`	MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step. NeurIPS Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step. CoRR Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han
2024	A*	`conf`	NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views. AAAI Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu
2024	A*	`conf`	Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set. NeurIPS Wenyuan Zhang, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set. CoRR Wenyuan Zhang, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Sharpening Neural Implicit Functions with Frequency Consolidation Priors. CoRR Chao Chen, Yu-Shen Liu, Zhizhong Han
2024	A*	`conf`	UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. CVPR Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. CoRR Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han
2024	A*	`conf`	Uni3D: Exploring Unified 3D Representation at Scale. ICLR Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
2024	—	`conf`	Zero-Shot Object Navigation with Vision-Language Models Reasoning. ICPR (18) Congcong Wen, Yisiyuan Huang, Hao Huang, Yanjia Huang, Shuaihang Yuan, Yu Hao, Hui Lin, Yu-Shen Liu, Yi Fang
2024	A*	`conf`	Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly. NeurIPS Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly. CoRR Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
2024	J	`jnl`	Zero-shot Object Navigation with Vision-Language Models Reasoning. CoRR Congcong Wen, Yisiyuan Huang, Hao Huang, Yanjia Huang, Shuaihang Yuan, Yu Hao, Hui Lin, Yu-Shen Liu, Yi Fang
2023	J	`jnl`	D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion. CoRR Xinhai Liu, Zhizhong Han, Sanghuk Lee, Yan-Pei Cao, Yu-Shen Liu
2023	J	`jnl`	D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion. Comput. Aided Geom. Des. Xinhai Liu, Zhizhong Han, Sanghuk Lee, Yan-Pei Cao, Yu-Shen Liu
2023	A*	`conf`	Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. NeurIPS Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. CoRR Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Fast Learning Radiance Fields by Shooting Much Fewer Rays. IEEE Trans. Image Process. Wenyuan Zhang, Ruofan Xing, Yunfan Zeng, Yu-Shen Liu, Kanle Shi, Zhizhong Han
2023	J	`jnl`	GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation. CoRR Baorui Ma, Haoge Deng, Junsheng Zhou, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
2023	A*	`conf`	GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. ICCV Chao Chen, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. CoRR Chao Chen, Yu-Shen Liu, Zhizhong Han
2023	A*	`conf`	KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion. AAAI Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Xiongwu Xiao, Bisheng Yang
2023	A*	`conf`	LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes. CVPR Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han
2023	J	`jnl`	Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. CoRR Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han
2023	A*	`conf`	Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. ICML Baorui Ma, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. CoRR Baorui Ma, Yu-Shen Liu, Zhizhong Han
2023	A*	`conf`	Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. ICCV Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. CoRR Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	MVDLite: A fast validation algorithm for Model View Definition rules. Adv. Eng. Informatics Han Liu, Ge Gao, Hehua Zhang, Yu-Shen Liu, Yan Song, Ming Gu
2023	J	`jnl`	Modeling and validating temporal rules with semantic Petri net for digital twins. Adv. Eng. Informatics Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, Ming Gu
2023	A*	`conf`	NeAF: Learning Neural Angle Fields for Point Normal Estimation. AAAI Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views. CoRR Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu
2023	A*	`conf`	Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. SIGGRAPH Asia Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. CoRR Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023	A*	`conf`	NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. NeurIPS Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. CoRR Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths. IEEE Trans. Pattern Anal. Mach. Intell. Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu
2023	A*	`conf`	Pyramid Learnable Tokens for 3D LiDAR Place Recognition. ICRA Congcong Wen, Hao Huang, Yu-Shen Liu, Yi Fang
2023	A*	`conf`	Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. ICCV Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han
2023	J	`jnl`	Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. CoRR Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han
2023	A*	`conf`	Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting. CVPR Haiping Wang, Yuan Liu, Zhen Dong, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang
2023	J	`jnl`	Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting. CoRR Haiping Wang, Yuan Liu, Zhen Dong, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang
2023	A*	`conf`	SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. CVPR Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. CoRR Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han
2023	A*	`conf`	Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. CVPR Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. CoRR Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Uni3D: Exploring Unified 3D Representation at Scale. CoRR Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
2023	A*	`conf`	Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. CVPR Chao Chen, Yu-Shen Liu, Zhizhong Han
2023	J	`jnl`	Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. CoRR Chao Chen, Yu-Shen Liu, Zhizhong Han
2022	A*	`conf`	3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. CVPR Xin Wen, Junsheng Zhou, Yu-Shen Liu, Hua Su, Zhen Dong, Zhizhong Han
2022	J	`jnl`	3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. CoRR Xin Wen, Junsheng Zhou, Yu-Shen Liu, Zhen Dong, Zhizhong Han
2022	J	`jnl`	Fast Learning Radiance Fields by Shooting Much Fewer Rays. CoRR Wenyuan Zhang, Ruofan Xing, Yunfan Zeng, Yu-Shen Liu, Kanle Shi, Zhizhong Han
2022	A*	`conf`	HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. NeurIPS Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han
2022	J	`jnl`	HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. CoRR Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han
2022	—	`conf`	Latent Partition Implicit with Surface Codes for 3D Representation. ECCV (3) Chao Chen, Yu-Shen Liu, Zhizhong Han
2022	J	`jnl`	Latent Partition Implicit with Surface Codes for 3D Representation. CoRR Chao Chen, Yu-Shen Liu, Zhizhong Han
2022	A*	`conf`	Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. NeurIPS Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han
2022	J	`jnl`	Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. CoRR Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han
2022	A*	`conf`	Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. CVPR Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han
2022	J	`jnl`	Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. CoRR Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han
2022	J	`jnl`	Modeling and Validating Temporal Rules with Semantic Petri-Net for Digital Twins. CoRR Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, Ming Gu
2022	J	`jnl`	NeAF: Learning Neural Angle Fields for Point Normal Estimation. CoRR Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han
2022	J	`jnl`	PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths. CoRR Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu
2022	A*	`conf`	Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CVPR Baorui Ma, Yu-Shen Liu, Zhizhong Han
2022	J	`jnl`	Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CoRR Baorui Ma, Yu-Shen Liu, Zhizhong Han
2022	J	`jnl`	SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization. IEEE Trans. Image Process. Xinhai Liu, Xinchen Liu, Yu-Shen Liu, Zhizhong Han
2022	J	`jnl`	Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder. CoRR Junsheng Zhou, Xin Wen, Yu-Shen Liu, Yi Fang, Zhizhong Han
2022	J	`jnl`	Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer. CoRR Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han
2022	A*	`conf`	Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CVPR Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han
2022	J	`jnl`	Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CoRR Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han
2021	J	`jnl`	CMPD: Using Cross Memory Network With Pair Discrimination for Image-Text Retrieval. IEEE Trans. Circuits Syst. Video Technol. Xin Wen, Zhizhong Han, Yu-Shen Liu
2021	A*	`conf`	Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding. CVPR Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu
2021	J	`jnl`	Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding. CoRR Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu
2021	J	`jnl`	Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. IEEE Trans. Image Process. Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
2021	A*	`conf`	Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. ACM Multimedia Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
2021	J	`jnl`	Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. CoRR Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
2021	J	`jnl`	MFM-Net: Unpaired Shape Completion Network with Multi-stage Feature Matching. CoRR Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Bisheng Yang
2021	J	`jnl`	Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. CoRR Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang
2021	A*	`conf`	Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface. ICML Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
2021	A*	`conf`	PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths. CVPR Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu
2021	A*	`conf`	SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. ICCV Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han
2021	J	`jnl`	SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. CoRR Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han
2021	A*	`conf`	Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. ICCV Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
2021	J	`jnl`	Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. CoRR Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
2020	J	`jnl`	BIMSeek++: Retrieving BIM components using similarity measurement of attributes. Comput. Ind. Nanxing Li, Qian Li, Yu-Shen Liu, Wenlong Lu, Wanqi Wang
2020	A*	`conf`	CF-SIS: Semantic-Instance Segmentation of 3D Point Clouds by Context Fusion with Self-Attention. ACM Multimedia Xin Wen, Zhizhong Han, Geunhyuk Youk, Yu-Shen Liu
2020	A*	`conf`	DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. ICML Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
2020	J	`jnl`	DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. CoRR Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
2020	J	`jnl`	Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. CoRR Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
2020	J	`jnl`	LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts. CoRR Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker
2020	J	`jnl`	LRC-Net: Learning discriminative features on point clouds by encoding local region contexts. Comput. Aided Geom. Des. Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker
2020	J	`jnl`	Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces. CoRR Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
2020	J	`jnl`	PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths. CoRR Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu
2020	A*	`conf`	Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. CVPR Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu
2020	J	`jnl`	Point Cloud Completion by Skip-attention Network with Hierarchical Folding. CoRR Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu
2020	J	`jnl`	Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules. IEEE Trans. Image Process. Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu
2020	J	`jnl`	Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization. IEEE Trans. Image Process. Zhizhong Han, Baorui Ma, Yu-Shen Liu, Matthias Zwicker
2020	J	`jnl`	SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization. CoRR Xinhai Liu, Xinchen Liu, Zhizhong Han, Yu-Shen Liu
2020	J	`jnl`	SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates. CoRR Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker
2020	—	`conf`	SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments from 2D Coordinates. ECCV (24) Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker
2020	A*	`conf`	ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. ACM Multimedia Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
2019	J	`jnl`	3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation. IEEE Trans. Image Process. Zhizhong Han, Honglei Lu, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen
2019	A*	`conf`	3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. IJCAI Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen
2019	J	`jnl`	3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. CoRR Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen
2019	A	`conf`	Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities. ICME Xin Wen, Zhizhong Han, Xinyu Yin, Yu-Shen Liu
2019	J	`jnl`	Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities. CoRR Xin Wen, Zhizhong Han, Xinyu Yin, Yu-Shen Liu
2019	J	`jnl`	Dynamically loading IFC models on a web browser based on spatial semantic partitioning. Vis. Comput. Ind. Biomed. Art Hong-Lei Lu, Jia-Xing Wu, Yu-Shen Liu, Wan-Qi Wang
2019	B	`conf`	Emotion Reinforced Visual Storytelling. ICMR Nanxing Li, Bei Liu, Zhizhong Han, Yu-Shen Liu, Jianlong Fu
2019	A*	`conf`	Fast Low-rank Metric Learning for Large-scale and High-dimensional Data. NeurIPS Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu
2019	J	`jnl`	Fast Low-rank Metric Learning for Large-scale and High-dimensional Data. CoRR Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu
2019	A*	`conf`	L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. ACM Multimedia Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker
2019	J	`jnl`	L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. CoRR Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker
2019	J	`jnl`	MVDLite: A Light-weight Representation of Model View Definition with Fast Validation for BIM Applications. CoRR Han Liu, Ge Gao, Hehua Zhang, Yu-Shen Liu, Yan Song, Ming Gu
2019	A*	`conf`	Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. ICCV Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
2019	J	`jnl`	Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. CoRR Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
2019	C	`conf`	P4-Enabled Bandwidth Management. APNOMS Yan-Wei Chen, Li-Hsing Yen, Wei-Cheng Wang, Cheng-An Chuang, Yu-Shen Liu, Chien-Chao Tseng
2019	A*	`conf`	Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. IJCAI Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker
2019	J	`jnl`	Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. CoRR Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker
2019	A*	`conf`	Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. AAAI Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
2019	J	`jnl`	Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules. CoRR Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu
2019	J	`jnl`	SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention. IEEE Trans. Image Process. Zhizhong Han, Mingyang Shang, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen
2019	J	`jnl`	ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. CoRR Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
2019	A*	`conf`	View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. AAAI Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker
2019	A*	`conf`	Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. AAAI Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
2018	J	`jnl`	Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax. IEEE Trans. Image Process. Zhizhong Han, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, C. L. Philip Chen
2018	J	`jnl`	Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network. CoRR Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
2018	J	`jnl`	View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. CoRR Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker
2018	J	`jnl`	Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. CoRR Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
2017	J	`jnl`	BIMTag: Concept-based automatic semantic annotation of online BIM product resources. Adv. Eng. Informatics Ge Gao, Yu-Shen Liu, Pengpeng Lin, Meng Wang, Ming Gu, Jun-Hai Yong
2017	J	`jnl`	BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation. IEEE Trans. Image Process. Zhizhong Han, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, C. L. Philip Chen
2017	J	`jnl`	Enhanced Explicit Semantic Analysis for Product Model Retrieval in Construction Industry. IEEE Trans. Ind. Informatics Han Liu, Yu-Shen Liu, Pieter Pauwels, Hongling Guo, Ming Gu
2016	J	`jnl`	VIV: Using visible internal volume to compute junction-aware shape descriptor of 3D articulated models. Neurocomputing Yu-Shen Liu, Hongchen Deng, Min Liu, Lianjie Gong
2015	J	`jnl`	Junction-aware shape descriptor for 3D articulated models using local shape-radius variation. Signal Process. Jinlong Feng, Yu-Shen Liu, Lianjie Gong
2013	J	`jnl`	The IFC-based path planning for 3D indoor spaces. Adv. Eng. Informatics Ya-Hong Lin, Yu-Shen Liu, Ge Gao, Xiao-Guang Han, Chengyuan Lai, Ming Gu
2012	J	`jnl`	3DMolNavi: A web-based retrieval and navigation tool for flexible molecular shape comparison. BMC Bioinform. Yu-Shen Liu, Meng Wang, Jean-Claude Paul, Karthik Ramani
2012	J	`jnl`	Robust shape normalization of 3D articulated volumetric models. Comput. Aided Des. Chao Wang, Yu-Shen Liu, Min Liu, Jun-Hai Yong, Jean-Claude Paul
2011	J	`jnl`	Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph. IEEE Trans. Pattern Anal. Mach. Intell. Yu-Shen Liu, Karthik Ramani, Min Liu
2010	J	`jnl`	Surface area estimation of digitized 3D objects using quasi-Monte Carlo methods. Pattern Recognit. Yu-Shen Liu, Jing Yi, Hu Zhang, Guo-Qin Zheng, Jean-Claude Paul
2010	J	`jnl`	Using diffusion distances for flexible molecular shape comparison. BMC Bioinform. Yu-Shen Liu, Qi Li, Guo-Qin Zheng, Karthik Ramani, William Benjamin
2009	J	`jnl`	Computing global visibility maps for regions on the boundaries of polyhedra using Minkowski sums. Comput. Aided Des. Min Liu, Yu-Shen Liu, Karthik Ramani
2009	J	`jnl`	IDSS: deformation invariant signatures for molecular shape comparison. BMC Bioinform. Yu-Shen Liu, Yi Fang, Karthik Ramani
2009	J	`jnl`	Robust principal axes determination for point-based shapes using least median of squares. Comput. Aided Des. Yu-Shen Liu, Karthik Ramani
2009	J	`jnl`	Using least median of squares for structural superposition of flexible proteins. BMC Bioinform. Yu-Shen Liu, Yi Fang, Karthik Ramani
2008	J	`jnl`	An extension on robust directed projection of points onto point clouds. Comput. Aided Des. Ming-Cui Du, Yu-Shen Liu
2007	—	`conf`	Anisotropic filtering on normal field and curvature tensor field using optimal estimation theory. Shape Modeling International Min Liu, Yu-Shen Liu, Karthik Ramani
2007	—	`conf`	Salient critical points for meshes. Symposium on Solid and Physical Modeling Yu-Shen Liu, Min Liu, Daisuke Kihara, Karthik Ramani
2006	J	`jnl`	A quasi-Monte Carlo method for computing areas of point-sampled surfaces. Comput. Aided Des. Yu-Shen Liu, Jun-Hai Yong, Hui Zhang, Dong-Ming Yan, Jia-Guang Sun
2006	J	`jnl`	Automatic least-squares projection of points onto point clouds with applications in reverse engineering. Comput. Aided Des. Yu-Shen Liu, Jean-Claude Paul, Jun-Hai Yong, Pi-Qiang Yu, Hui Zhang, Jia-Guang Sun, Karthik Ramani
2005	J	`jnl`	Mesh blending. Vis. Comput. Yu-Shen Liu, Hui Zhang, Jun-Hai Yong, Pi-Qiang Yu, Jia-Guang Sun
2005	—	`conf`	Mesh parameterization for an open connected surface without partition. CAD/Graphics Yu-Shen Liu, Jun-Hai Yong, Pi-Qiang Yu, Hui Zhang, Ming-Cui Du, Jean-Claude Paul
2004	C	`conf`	Bilateral Filter for Meshes Using New Predictor. CIS Yu-Shen Liu, Pi-Qiang Yu, Jun-Hai Yong, Hui Zhang, Jia-Guang Sun