Ruida Zhang

Ruida Zhang (张睿达)

I am a third-year Ph.D. student at Tsinghua University, supervised by Prof. Xiangyang Ji. Previously, I received my B.E. degree in Automation Engineering at Tsinghua University.

My research interest lies in 3D computer vision, including object pose estimation, 3D reconstruction and scene understanding.

I served as a reviewer for CVPR, ICCV, ECCV, RAL, TCSVT, TIM.

Email / Google Scholar / Github

News

[2024.02] 4 papers are accepted to CVPR2024. KP-RED and ShapeMaker focus on joint shape canonicalization, segmentation, retrieval and deformation. SecondPose outperforms competitors on category-level pose estimation. MOHO leverages multi-view information for hand-held object reconstruction.
[2023.10] Our work GPose2023 wins BOP Challenge 2023, ICCV R6D Workshop.
[2023.09] Our paper DDF-HO on hand-held object reconstruction is accepted to NeurIPS2023.
[2023.07] Our paper U-RED on unsupervised shape retrieval and deformation is accepted to ICCV2023.
[2022.06] Our category-level pose estimation works GPV-Pose, RBP-Pose, SSP-Pose are accepted to CVPR2022, ECCV2022, IROS2022 respectively.

Publications

	KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation Ruida Zhang, Chenyangguang Zhang, Yan Di, Fabian Manhardt, Xingyu Liu, Federico Tombari, Xiangyang Ji IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Paper
	ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation Yan Di, Chenyangguang Zhang, Chaowei Wang, Ruida Zhang, Guangyao Zhai, Yanyan Li, Bowen Fu, Xiangyang Ji, Shan Gao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Paper
	MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision Chenyangguang Zhang, Guanlong Jiao, Yan Di, Gu Wang, Ziqin Huang, Ruida Zhang, Fabian Manhardt, Bowen Fu, Federico Tombari, Xiangyang Ji IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Paper
	GPose2023: A Modularized Learning-based Object Pose Estimator Ruida Zhang, Ziqin Huang, Gu Wang, Xingyu Liu, Chenyangguang Zhang, Xiangyang Ji International Conference on Computer Vision Workshop (ICCVW), 2023 Winner of BOP Challenge 2023 @ ICCV R6D Workshop. Slides
	DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field Chenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji 37th Conference on Neural Information Processing Systems (NeurIPS)*, 2023 Paper / Code
	U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds Yan Di, Chenyangguang Zhang, Ruida Zhang, Fabian Manhardt, Yongzhi Su, Jason Rambach, Xiangyang Ji, Federico Tombari International Conference on Computer Vision (ICCV)*, 2023 Paper / Code
	GDRNPP: Extending Geometry-Guided Direct Regression Network in 2022 Xingyu Liu, Ruida Zhang, Chenyangguang Zhang, Bowen Fu, Jiwen Tang, Xiquan Liang, Jingyi Tang, Xiaotian Cheng, Yukang Zhang, Gu Wang, Xiangyang Ji European Conference on Computer Vision WorkShop (ECCVW), 2022 Winner of BOP Challenge 2022 @ ECCV R6D Workshop. Slides / Code
	RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation Ruida Zhang, Yan Di, Zhiqiang Lou, Fabian Manhardt, Federico Tombari, Xiangyang Ji European Conference on Computer Vision (ECCV), 2022 Paper / Code
	SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation Ruida Zhang, Yan Di, Fabian Manhardt, Federico Tombari, Xiangyang Ji IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Paper
	GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting Yan Di, Ruida Zhang, Zhiqiang Lou, Fabian Manhardt, Xiangyang Ji, Nassir Navab Federico Tombari IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Paper / Code