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08/19/2023
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
Rotation estimation of high precision from an RGB-D object observation i...
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05/18/2023
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose
Domain gap between synthetic and real data in visual regression (6D pose...
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11/13/2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Masked autoencoder has demonstrated its effectiveness in self-supervised...
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10/11/2022
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation
Establishment of point correspondence between camera and object coordina...
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07/12/2022
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks
It is difficult to precisely annotate object instances and their semanti...
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07/07/2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Masked auto-encoding is a popular and effective self-supervised learning...
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11/14/2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
As a basic component of SE(3)-equivariant deep feature learning, steerab...
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03/11/2021
DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency
Category-level 6D object pose and size estimation is to predict 9 degree...
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09/10/2020
CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling
Point set is arguably the most direct approximation of an object or scen...
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12/24/2019
Geometry-aware Generation of Adversarial and Cooperative Point Clouds
Recent studies show that machine learning models are vulnerable to adver...
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04/25/2019