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Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning


Nov 13, 2022
Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang

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* Codes will be available at https://github.com/YBZh/Point-DAE 

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DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation


Oct 11, 2022
Hongyang Li, Jiehong Lin, Kui Jia

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* ECCV 2022 

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Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks


Jul 12, 2022
Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia

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* Accepted by ECCV2022 

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Masked Surfel Prediction for Self-Supervised Point Cloud Learning


Jul 07, 2022
Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang

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* Codes will be available at https://github.com/YBZh/MaskSurf 

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Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space


Nov 14, 2021
Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia

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* Accepted by NeurIPS 2021 

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DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency


Apr 06, 2021
Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li

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CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling


Sep 10, 2020
Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia

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Geometry-aware Generation of Adversarial and Cooperative Point Clouds


Dec 24, 2019
Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia

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Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers


Apr 25, 2019
Kui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao

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* IEEE Transactions on Image Processing 2019 

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