Publications

Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin Liang (2025). OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).

Preprint

Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio A. Vela, Stan Birchfield (2023). Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation. IEEE International Conference on Robotics and Automation (ICRA 2023).

Preprint Code Project

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield (2022). Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation. IEEE International Conference on Robotics and Automation (ICRA 2022).

Preprint Code Project

Ruinian Xu, Hongyi Chen, Yunzhi Lin, Patricio A. Vela (2022). SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following. IEEE Robotics and Automation Letters.

Preprint

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield (2021). Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image. IEEE International Conference on Robotics and Automation (ICRA 2022).

Preprint Code Project

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield (2021). Multi-view Fusion for Multi-level Robotic Scene Understanding. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021).

Preprint PDF Dataset Project Video

Yiye Chen, Ruinian Xu, Yunzhi Lin, Patricio A. Vela (2021). A Joint Network for Grasp Detection Conditioned on Natural Language Commands. IEEE International Conference on Robotics and Automation (ICRA 2021).

Preprint PDF Video

Yunzhi Lin, Chao Tang, Fujen Chu, Patricio A. Vela (2020). Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping. IEEE International Conference on Robotics and Automation (ICRA 2020).

Preprint PDF Code Project Video

Wenze Shao, Yunzhi Lin, Yuanyuan Liu, Liqian Wang, Qi Ge, Bingkun Bao, Haibo Li (2020). Gradient-based discriminative modeling for blind image deblurring. Neurocomputing.

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Wenze Shao, Qi Ge, Liqian Wang, Yunzhi Lin, Haisong Deng (2019). A new variational approach to deblurring low-resolution images. International Conference on Graphics and Image Processing (ICGIP 2018).

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Wenze Shao, Qi Ge, Liqian Wang, Yunzhi Lin, Haisong Deng, Haibo Li (2019). Nonparametric Blind Super-Resolution Using Adaptive Heavy-Tailed Priors. Journal of Mathematical Imaging and Vision.

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Wenze Shao, Yunzhi Lin, Bingkun Bao, Liqian Wang, Qi Ge, Haibo Li (2018). Blind Deblurring Using Discriminative Image Smoothing. Pattern Recognition and Computer Vision (PRCV 2018).

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Yunzhi Lin, Wenze Shao (2017). Robust Blind Deconvolution Using Relative Total Variation as a Regularization Penalty. Pacific-Rim Symposium on Image and Video Technology (PSIVT 2017).

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