Yunzhi Lin

According to our database, Yunzhi Lin authored at least 23 papers between 2012 and 2023.

Collaborative distances:

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

2023

KGNv2: Separating Scale and Pose Prediction for Keypoint-Based 6-DoF Grasp Synthesis on RGB-D Input.

Yiye Chen, Ruinian Xu, Yunzhi Lin, Hongyi Chen, Patricio A. Vela

IROS, 2023

Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation.

Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input.

Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis.

Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

High-Speed Railway Pantograph-Catenary Anomaly Detection Method Based on Depth Vision Neural Network.

Richeng Chen, Yunzhi Lin, Tao Jin

IEEE Trans. Instrum. Meas., 2022

SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following.

Ruinian Xu, Hongyi Chen, Yunzhi Lin, Patricio A. Vela

IEEE Robotics Autom. Lett., 2022

Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input.

Yiye Chen, Yunzhi Lin, Patricio A. Vela

CoRR, 2022

Primitive Shape Recognition for Object Grasping.

Yunzhi Lin, Chao Tang, Fu-Jen Chu, Ruinian Xu, Patricio A. Vela

CoRR, 2022

Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

NViSII: A Scriptable Tool for Photorealistic Image Generation.

Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald

CoRR, 2021

Multi-view Fusion for Multi-level Robotic Scene Understanding.

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Joint Network for Grasp Detection Conditioned on Natural Language Commands.

Yiye Chen, Ruinian Xu, Yunzhi Lin, Patricio A. Vela

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Poster: Accelerate Cross-Device Federated Learning With Semi-Reliable Model Multicast Over The Air.

Yunzhi Lin, Shouxi Luo

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

2020

Gradient-based discriminative modeling for blind image deblurring.

Wen-Ze Shao, Yunzhi Lin, Yuan-Yuan Liu, Li-Qian Wang, Qi Ge, Bing-Kun Bao, Haibo Li

Neurocomputing, 2020

Redundant Forward Gateway in Heterogeneous WLAN and LTE-M Networks for Reliable Metro Communication.

Zhan Shu, Zhe Wang, Lin Zhang, Jianwei Fan, Yunzhi Lin

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Joint Optimization of Spectrum and Energy Efficiency Considering the C-V2X Security: A Deep Reinforcement Learning Approach.

Zhipeng Liu, Yinhui Han, Jianwei Fan, Lin Zhang, Yunzhi Lin

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping.

Yunzhi Lin, Chao Tang, Fu-Jen Chu, Patricio A. Vela

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Nonparametric Blind Super-Resolution Using Adaptive Heavy-Tailed Priors.

Wen-Ze Shao, Qi Ge, Liqian Wang, Yunzhi Lin, Hai-Song Deng, Haibo Li

J. Math. Imaging Vis., 2019

2018

Blind Deblurring Using Discriminative Image Smoothing.

Wenze Shao, Yunzhi Lin, Bingkun Bao, Liqian Wang, Qi Ge, Haibo Li

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Robust Blind Deconvolution Using Relative Total Variation as a Regularization Penalty.

Yunzhi Lin, Wenze Shao

Proceedings of the Image and Video Technology, 2017

2014

Dichotomizing a Continuous Baseline Covariate in Randomized Clinical Trials with Binary Outcomes.

Boan Zhang, Yunzhi Lin, Zheng Su

Commun. Stat. Simul. Comput., 2014

2012

Quantifying the exact allocation ratios in randomized clinical trials with biased coin randomization.

Yunzhi Lin, Zheng Su

Comput. Methods Programs Biomed., 2012