Cvxnet Learnable Convex Decomposition Cvpr

Media Summary: Authors: Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi Description: Any ... ... geometric pattern recognition finding structure in noisy data as a general problem that arises in machine We develop an efficient approach to impose filter orthogonality on a convolutional layer. Our proposed orthogonal convolution ...

Cvxnet Learnable Convex Decomposition Cvpr - Detailed Analysis & Overview

Authors: Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi Description: Any ... ... geometric pattern recognition finding structure in noisy data as a general problem that arises in machine We develop an efficient approach to impose filter orthogonality on a convolutional layer. Our proposed orthogonal convolution ...

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CvxNet: Learnable Convex Decomposition

Learning Convex Decomposition via Feature Fields, CVPR 2026 (Oral)

CvxNet: Learnable Convex Decomposition (CVPR 2020, Oral)

Convex Decomposition of Indoor Scenes (ICCV 2023)

[CVPR 2020 Oral] High-dimensional Convolutional Neural Networks for Geometric Pattern Recognition

[CVPR 2020 Oral] Quick intro to High-dimensional ConvNets for Geometric Pattern Recognition

Local Implicit Grid Representations for 3D Scenes (CVPR 2020)

CVPR 2020: "RPM-Net: Robust Point Matching using Learned Features"

CVPR2020 tutorial: Local Features: From SIFT to Differentiable Methods

Orthogonal Convolutional Neural Networks (CVPR 2020)

DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data (CVPR 2020)

CVPR 2020: Generative Hybrid Representations for Activity Forecasting with No-Regret Learning

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CvxNet: Learnable Convex Decomposition

CvxNet: Learnable Convex Decomposition

Authors: Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi Description: Any ...

Learning Convex Decomposition via Feature Fields, CVPR 2026 (Oral)

Learning Convex Decomposition via Feature Fields, CVPR 2026 (Oral)

Learning Convex Decomposition

CvxNet: Learnable Convex Decomposition (CVPR 2020, Oral)

CvxNet: Learnable Convex Decomposition (CVPR 2020, Oral)

Project page:

Convex Decomposition of Indoor Scenes (ICCV 2023)

Convex Decomposition of Indoor Scenes (ICCV 2023)

Link to paper: ...

[CVPR 2020 Oral] High-dimensional Convolutional Neural Networks for Geometric Pattern Recognition

[CVPR 2020 Oral] High-dimensional Convolutional Neural Networks for Geometric Pattern Recognition

... geometric pattern recognition finding structure in noisy data as a general problem that arises in machine

[CVPR 2020 Oral] Quick intro to High-dimensional ConvNets for Geometric Pattern Recognition

[CVPR 2020 Oral] Quick intro to High-dimensional ConvNets for Geometric Pattern Recognition

... that arises in machine

Local Implicit Grid Representations for 3D Scenes (CVPR 2020)

Local Implicit Grid Representations for 3D Scenes (CVPR 2020)

CVPR

CVPR 2020: "RPM-Net: Robust Point Matching using Learned Features"

CVPR 2020: "RPM-Net: Robust Point Matching using Learned Features"

Paper: https://arxiv.org/abs/2003.13479 Code: https://github.com/yewzijian/RPMNet.

CVPR2020 tutorial: Local Features: From SIFT to Differentiable Methods

CVPR2020 tutorial: Local Features: From SIFT to Differentiable Methods

For more information visit: https://local-features-tutorial.github.io/

Orthogonal Convolutional Neural Networks (CVPR 2020)

Orthogonal Convolutional Neural Networks (CVPR 2020)

We develop an efficient approach to impose filter orthogonality on a convolutional layer. Our proposed orthogonal convolution ...

DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data (CVPR 2020)

DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data (CVPR 2020)

CVPR

CVPR 2020: Generative Hybrid Representations for Activity Forecasting with No-Regret Learning

CVPR 2020: Generative Hybrid Representations for Activity Forecasting with No-Regret Learning

1-minute version of Oral presentation at

ICCV2011-Minimum Near-Convex Decomposition for Robust Shape Representation

ICCV2011-Minimum Near-Convex Decomposition for Robust Shape Representation

The video for my work in ICCV 2011 http://eeeweba.ntu.edu.sg/computervision/people/home/renzhou/index.htm.