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09/04/2023
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian
Neural implicit representation is a promising approach for reconstructin...
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08/30/2023
P2M: A Fast Solver for Querying Distance from Point to Mesh Surface
Most of the existing point-to-mesh distance query solvers, such as Proxi...
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07/13/2023
Guided Linear Upsampling
Guided upsampling is an effective approach for accelerating high-resolut...
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06/08/2023
Mesh-MLP: An all-MLP Architecture for Mesh Classification and Semantic Segmentation
With the rapid development of geometric deep learning techniques, many m...
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04/23/2023
Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field
Estimating normals with globally consistent orientations for a raw point...
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12/18/2022
SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers
In this paper, we propose to compute Voronoi diagrams over mesh surfaces...
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12/07/2022
RFEPS: Reconstructing Feature-line Equipped Polygonal Surface
Feature lines are important geometric cues in characterizing the structu...
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09/09/2021
Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point Clouds
Surface reconstruction from noisy, non-uniform, and unoriented point clo...
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08/24/2021
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
RGB-D semantic segmentation has attracted increasing attention over the ...
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07/31/2021
Planning of Power Grasps Using Infinite Program Under Complementary Constraints
We propose an optimization-based approach to plan power grasps. Central ...
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02/19/2021
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
Scribble-supervised semantic segmentation has gained much attention rece...
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11/11/2020
Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace
Scribble-supervised semantic segmentation has gained much attention rece...
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06/22/2020
DO-Conv: Depthwise Over-parameterized Convolutional Layer
Convolutional layers are the core building blocks of Convolutional Neura...
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03/11/2020
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
Instance segmentation in point clouds is one of the most fine-grained wa...
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03/03/2020
Unsupervised Learning of Intrinsic Structural Representation Points
Learning structures of 3D shapes is a fundamental problem in the field o...
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10/20/2019
Top-Down Shape Abstraction Based on Greedy Pole Selection
Motivated by the fact that the medial axis transform is able to encode n...
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07/31/2018
Caging Loops in Shape Embedding Space: Theory and Computation
We propose to synthesize feasible caging grasps for a target object thro...
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07/24/2018
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
We present a generative neural network which enables us to generate plau...
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05/21/2018
DiDA: Disentangled Synthesis for Domain Adaptation
Unsupervised domain adaptation aims at learning a shared model for two r...
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05/21/2018
DifNet: Semantic Segmentation by DiffusionNetworks
Deep Neural Networks (DNNs) have recently shown state of the art perform...
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05/21/2018
DifNet: Semantic Segmentation by Diffusion Networks
Deep Neural Networks (DNNs) have recently shown state of the art perform...
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11/22/2017
Neuron-level Selective Context Aggregation for Scene Segmentation
Contextual information provides important cues for disambiguating visual...
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04/10/2016
Synthesizing Training Images for Boosting Human 3D Pose Estimation
Human 3D pose estimation from a single image is a challenging task with ...
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11/29/2013