Yunzhi Lin

39 papers A* 7A 3B 1C 2Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Modeling and Efficiency Optimization Design of Underwater Capacitive Power Transfer System.
Int. J. Circuit Theory Appl.
Zhiliang Huang, Yunzhi Lin, Tao Jin
2025 A conf
OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB.
IROS
Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang
2024 J jnl
A High Step-Up Hybrid Y-Source-Quasi-Z Source DC-DC Converter for Renewable Energy Applications.
IEEE Trans. Ind. Electron.
Haibin Li, Jiaqi Lin, Yunzhi Lin, Tao Jin
2024 J jnl
Dictionary Learning Method for Cyclostationarity Maximization and Its Application to Bearing Fault Feature Extraction.
IEEE Trans. Instrum. Meas.
Weihao Zhang, Cai Yi, Lei Yan, Qi Liu, Qiuyang Zhou, Pengfei He, Le Ran, Yunzhi Lin
2024 J jnl
OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB.
CoRR
Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang
2024 — —
Visual shape and pose recovery for robotic manipulation.
Yunzhi Lin
2023 A conf
KGNv2: Separating Scale and Pose Prediction for Keypoint-Based 6-DoF Grasp Synthesis on RGB-D Input.
IROS
Yiye Chen, Ruinian Xu, Yunzhi Lin, Hongyi Chen, Patricio A. Vela
2023 J jnl
KGNv2: Separating Scale and Pose Prediction for Keypoint-based 6-DoF Grasp Synthesis on RGB-D input.
CoRR
Yiye Chen, Ruinian Xu, Yunzhi Lin, Hongyi Chen, Patricio A. Vela
2023 A* conf
Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input.
ICRA
Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela
2023 A* conf
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation.
ICRA
Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
2023 A* conf
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis.
ICCV
Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela
2023 J jnl
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis.
CoRR
Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela
2022 J jnl
High-Speed Railway Pantograph-Catenary Anomaly Detection Method Based on Depth Vision Neural Network.
IEEE Trans. Instrum. Meas.
Richeng Chen, Yunzhi Lin, Tao Jin
2022 A* conf
Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation.
ICRA
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2022 J jnl
Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation.
CoRR
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2022 J jnl
Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input.
CoRR
Yiye Chen, Yunzhi Lin, Patricio A. Vela
2022 J jnl
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation.
CoRR
Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield
2022 J jnl
Primitive Shape Recognition for Object Grasping.
CoRR
Yunzhi Lin, Chao Tang, Fu-Jen Chu, Ruinian Xu, Patricio A. Vela
2022 J jnl
SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following.
CoRR
Ruinian Xu, Hongyi Chen, Yunzhi Lin, Patricio A. Vela
2022 J jnl
SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following.
IEEE Robotics Autom. Lett.
Ruinian Xu, Hongyi Chen, Yunzhi Lin, Patricio A. Vela
2022 A* conf
Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image.
ICRA
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021 A* conf
A Joint Network for Grasp Detection Conditioned on Natural Language Commands.
ICRA
Yiye Chen, Ruinian Xu, Yunzhi Lin, Patricio A. Vela
2021 J jnl
A Joint Network for Grasp Detection Conditioned on Natural Language Commands.
CoRR
Yiye Chen, Ruinian Xu, Yunzhi Lin, Patricio A. Vela
2021 A conf
Multi-view Fusion for Multi-level Robotic Scene Understanding.
IROS
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021 J jnl
Multi-view Fusion for Multi-level Robotic Scene Understanding.
CoRR
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2021 J jnl
NViSII: A Scriptable Tool for Photorealistic Image Generation.
CoRR
Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald
2021 B conf
Poster: Accelerate Cross-Device Federated Learning With Semi-Reliable Model Multicast Over The Air.
ICNP
Yunzhi Lin, Shouxi Luo
2021 J jnl
Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image.
CoRR
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
2020 J jnl
Gradient-based discriminative modeling for blind image deblurring.
Neurocomputing
Wen-Ze Shao, Yunzhi Lin, Yuan-yuan Liu, Li-Qian Wang, Qi Ge, Bing-Kun Bao, Haibo Li
2020 C conf
Joint Optimization of Spectrum and Energy Efficiency Considering the C-V2X Security: A Deep Reinforcement Learning Approach.
INDIN
Zhipeng Liu, Yinhui Han, Jianwei Fan, Lin Zhang, Yunzhi Lin
2020 J jnl
Joint Optimization of Spectrum and Energy Efficiency Considering the C-V2X Security: A Deep Reinforcement Learning Approach.
CoRR
Zhipeng Liu, Yinhui Han, Jianwei Fan, Lin Zhang, Yunzhi Lin
2020 C conf
Redundant Forward Gateway in Heterogeneous WLAN and LTE-M Networks for Reliable Metro Communication.
INDIN
Zhan Shu, Zhe Wang, Lin Zhang, Jianwei Fan, Yunzhi Lin
2020 A* conf
Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping.
ICRA
Yunzhi Lin, Chao Tang, Fu-Jen Chu, Patricio A. Vela
2019 J jnl
Nonparametric Blind Super-Resolution Using Adaptive Heavy-Tailed Priors.
J. Math. Imaging Vis.
Wen-Ze Shao, Qi Ge, Liqian Wang, Yunzhi Lin, Hai-Song Deng, Haibo Li
2019 J jnl
Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping.
CoRR
Yunzhi Lin, Chao Tang, Fu-Jen Chu, Patricio A. Vela
2018 — conf
Blind Deblurring Using Discriminative Image Smoothing.
PRCV (1)
Wenze Shao, Yunzhi Lin, Bingkun Bao, Liqian Wang, Qi Ge, Haibo Li
2017 — conf
Robust Blind Deconvolution Using Relative Total Variation as a Regularization Penalty.
PSIVT Workshops
Yunzhi Lin, Wenze Shao
2014 J jnl
Dichotomizing a Continuous Baseline Covariate in Randomized Clinical Trials with Binary Outcomes.
Commun. Stat. Simul. Comput.
Boan Zhang, Yunzhi Lin, Zheng Su
2012 J jnl
Quantifying the exact allocation ratios in randomized clinical trials with biased coin randomization.
Comput. Methods Programs Biomed.
Yunzhi Lin, Zheng Su