Media Summary: [CVPR 2021] Unsupervised Learning for Robust Fitting: A reinforcement learning approach Our paper on directly optimizing rank-based metrics (called RaMBO) using our method. We will present it at ... What jumps out in a single glance of an image is different than what you might notice after closer inspection. Yet conventional ...

Cvpr 2020 Consac Robust Multi Model Fitting By Conditional Sample Consensus - Detailed Analysis & Overview

[CVPR 2021] Unsupervised Learning for Robust Fitting: A reinforcement learning approach Our paper on directly optimizing rank-based metrics (called RaMBO) using our method. We will present it at ... What jumps out in a single glance of an image is different than what you might notice after closer inspection. Yet conventional ... The 1-minute video for our paper presented at We consider the topic of data imputation, a foundational task in machine learning that addresses issues with missing data. To that ... Presentation O-3C-02 of European Conference on Computer Vision 2018, Munich Germany Webpage: Title: ...

[CVPR 2020 Oral] Quick intro to High-dimensional ConvNets for Geometric Pattern Recognition An introduction video for the paper A Large Dataset of Historical Japanese Documents with Complex Layouts, at the

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[CVPR 2020] CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
[CVPR 2023 Highlight] Quantum Multi-Model Fitting
[CVPR 2020] Meshlet Priors for 3D Mesh Reconstruction (one-minute video)
[CVPR 2021] Unsupervised Learning for Robust Fitting: A reinforcement learning approach
CVPR 2020: "Cascaded Refinement Network for Point Cloud Completion"
Optimizing Rank-based Metrics with Blackbox Differentiation (CVPR 2020) 1 minute
[CVPR 2020] Meshlet Priors for 3D Mesh Reconstruction
[CVPR 2023] Robust Test-time Adaptation in Dynamic Scenarios
How much time do you have? Modeling multi-duration saliency (CVPR 2020 teaser)
"Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End" CVPR 2020
MCFlow: Monte Carlo Flow Models for Data Imputation (CVPR 2020)
Robust fitting in computer vision: easy or hard?
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[CVPR 2020] CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

[CVPR 2020] CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

CONSAC

[CVPR 2023 Highlight] Quantum Multi-Model Fitting

[CVPR 2023 Highlight] Quantum Multi-Model Fitting

Quantum

[CVPR 2020] Meshlet Priors for 3D Mesh Reconstruction (one-minute video)

[CVPR 2020] Meshlet Priors for 3D Mesh Reconstruction (one-minute video)

Teaser one-minute video for our new

[CVPR 2021] Unsupervised Learning for Robust Fitting: A reinforcement learning approach

[CVPR 2021] Unsupervised Learning for Robust Fitting: A reinforcement learning approach

[CVPR 2021] Unsupervised Learning for Robust Fitting: A reinforcement learning approach

CVPR 2020: "Cascaded Refinement Network for Point Cloud Completion"

CVPR 2020: "Cascaded Refinement Network for Point Cloud Completion"

Paper: https://arxiv.org/abs/2004.03327 Source code: https://github.com/xiaogangw/cascaded-point-completion.

Optimizing Rank-based Metrics with Blackbox Differentiation (CVPR 2020) 1 minute

Optimizing Rank-based Metrics with Blackbox Differentiation (CVPR 2020) 1 minute

Our paper on directly optimizing rank-based metrics (called RaMBO) using our #blackboxbackprop method. We will present it at ...

[CVPR 2020] Meshlet Priors for 3D Mesh Reconstruction

[CVPR 2020] Meshlet Priors for 3D Mesh Reconstruction

Teaser video for our new

[CVPR 2023] Robust Test-time Adaptation in Dynamic Scenarios

[CVPR 2023] Robust Test-time Adaptation in Dynamic Scenarios

A presentation of our paper "

How much time do you have? Modeling multi-duration saliency (CVPR 2020 teaser)

How much time do you have? Modeling multi-duration saliency (CVPR 2020 teaser)

What jumps out in a single glance of an image is different than what you might notice after closer inspection. Yet conventional ...

"Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End" CVPR 2020

"Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End" CVPR 2020

The 1-minute video for our paper presented at

MCFlow: Monte Carlo Flow Models for Data Imputation (CVPR 2020)

MCFlow: Monte Carlo Flow Models for Data Imputation (CVPR 2020)

We consider the topic of data imputation, a foundational task in machine learning that addresses issues with missing data. To that ...

Robust fitting in computer vision: easy or hard?

Robust fitting in computer vision: easy or hard?

Presentation O-3C-02 of European Conference on Computer Vision 2018, Munich Germany Webpage: https://eccv2018.org Title: ...

[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

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

HJDataset Presentation at CVPR 2020

HJDataset Presentation at CVPR 2020

An introduction video for the paper A Large Dataset of Historical Japanese Documents with Complex Layouts, at the

Deep Parametric Shape Predictions using Distance Fields (CVPR 2020)

Deep Parametric Shape Predictions using Distance Fields (CVPR 2020)

Webpage: https://dsmirnov.me/deep-parametric-shapes/ Code: https://github.com/dmsm/DeepParametricShapes Dmitriy Smirnov, ...

[CVPR 2026] CBM-Suite | Rethinking Concept Bottleneck Models: From Pitfalls to Solutions

[CVPR 2026] CBM-Suite | Rethinking Concept Bottleneck Models: From Pitfalls to Solutions

Concept Bottleneck