b'Helge Rhodin'

research

∙ 09/09/2023

Mirror-Aware Neural Humans

Human motion capture either requires multi-camera systems or is unreliab...

0 Daniel Ajisafe, et al. ∙

research

∙ 08/23/2023

Pose Modulated Avatars from Video

It is now possible to reconstruct dynamic human motion and shape from a ...

0 Chunjin Song, et al. ∙

research

∙ 04/04/2023

NPC: Neural Point Characters from Video

High-fidelity human 3D models can now be learned directly from videos, t...

0 Shih-Yang Su, et al. ∙

research

∙ 03/30/2023

Few-shot Geometry-Aware Keypoint Localization

Supervised keypoint localization methods rely on large manually labeled ...

0 Xingzhe He, et al. ∙

research

∙ 11/10/2022

Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching

Recent neural rendering approaches greatly improve image quality, reachi...

0 Frank Yu, et al. ∙

research

∙ 06/23/2022

UNeRF: Time and Memory Conscious U-Shaped Network for Training Neural Radiance Fields

Neural Radiance Fields (NeRFs) increase reconstruction detail for novel ...

0 Abiramy Kuganesan, et al. ∙

research

∙ 05/21/2022

AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints

Structured representations such as keypoints are widely used in pose tra...

0 Xingzhe He, et al. ∙

research

∙ 05/06/2022

LatentKeypointGAN: Controlling Images via Latent Keypoints – Extended Abstract

Generative adversarial networks (GANs) can now generate photo-realistic ...

0 Xingzhe He, et al. ∙

research

∙ 05/03/2022

DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks

Deep learning greatly improved the realism of animatable human models by...

7 Shih-Yang Su, et al. ∙

research

∙ 04/29/2022

A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset

Many human pose estimation methods estimate Skinned Multi-Person Linear ...

2 Eric Hedlin, et al. ∙

research

∙ 02/28/2022

Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment

Maintaining proper form while exercising is important for preventing inj...

2 Paritosh Parmar, et al. ∙

research

∙ 12/22/2021

Improved 2D Keypoint Detection in Out-of-Balance and Fall Situations – combining input rotations and a kinematic model

Injury analysis may be one of the most beneficial applications of deep l...

0 Michael Zwölfer, et al. ∙

research

∙ 12/22/2021

AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation

This paper addresses the problem of cross-dataset generalization of 3D h...

0 Mohsen Gholami, et al. ∙

research

∙ 12/14/2021

ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses

Human pose estimation from single images is a challenging problem that i...

0 Bastian Wandt, et al. ∙

research

∙ 12/02/2021

GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation

Segmenting an image into its parts is a frequent preprocess for high-lev...

0 Xingzhe He, et al. ∙

research

∙ 07/06/2021

NRST: Non-rigid Surface Tracking from Monocular Video

We propose an efficient method for non-rigid surface tracking from monoc...

21 Marc Habermann, et al. ∙

research

∙ 05/14/2021

TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video

Estimating 3D human poses from video is a challenging problem. The lack ...

0 Mohsen Gholami, et al. ∙

research

∙ 03/29/2021

LatentKeypointGAN: Controlling GANs via Latent Keypoints

Generative adversarial networks (GANs) have attained photo-realistic qua...

0 Xingzhe He, et al. ∙

research

∙ 02/11/2021

A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering

While deep learning has reshaped the classical motion capture pipeline, ...

9 Shih-Yang Su, et al. ∙

research

∙ 12/22/2020

AudioViewer: Learning to Visualize Sound

Sensory substitution can help persons with perceptual deficits. In this ...

8 Yuchi Zhang, et al. ∙

research

∙ 12/09/2020

Self-supervised Human Detection and Segmentation via Multi-view Consensus

Self-supervised detection and segmentation of foreground objects in comp...

0 Isinsu Katircioglu, et al. ∙

research

∙ 12/02/2020

Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation

In this paper, we introduce an unsupervised feature extraction method th...

3 Sina Honari, et al. ∙

research

∙ 11/30/2020

CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild

Human pose estimation from single images is a challenging problem in com...

0 Bastian Wandt, et al. ∙

research

∙ 11/27/2020

PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers

Local processing is an essential feature of CNNs and other neural networ...

6 Frank Yu, et al. ∙

research

∙ 11/11/2020

Self-supervised Segmentation via Background Inpainting

While supervised object detection and segmentation methods achieve impre...

0 Isinsu Katircioglu, et al. ∙

research

∙ 11/10/2020

Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images

While general object detection has seen tremendous progress, localizatio...

7 Shenyi Pan, et al. ∙

research

∙ 01/23/2020

Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals

Our goal is to capture the pose of neuroscience model organisms, without...

4 Siyuan Li, et al. ∙

research

∙ 12/23/2019

Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction

Reconstruction of a 3D shape from a single 2D image is a classical compu...

0 Yuan Yao, et al. ∙

research

∙ 12/18/2019

ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture

The accuracy of monocular 3D human pose estimation depends on the viewpo...

0 Sena Kiciroglu, et al. ∙

research

∙ 09/05/2019

Gravity as a Reference for Estimating a Person's Height from Video

Estimating the metric height of a person from monocular imagery without ...

0 Didier Bieler, et al. ∙

research

∙ 08/30/2019

Motion Capture from Pan-Tilt Cameras with Unknown Orientation

In sports, such as alpine skiing, coaches would like to know the speed a...

4 Roman Bachmann, et al. ∙

research

∙ 07/18/2019

Self-supervised Training of Proposal-based Segmentation via Background Prediction

While supervised object detection methods achieve impressive accuracy, t...

6 Isinsu Katircioglu, et al. ∙

research

∙ 07/01/2019

XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera

We present a real-time approach for multi-person 3D motion capture at ov...

13 Dushyant Mehta, et al. ∙

research

∙ 03/13/2019

Neural Scene Decomposition for Multi-Person Motion Capture

Learning general image representations has proven key to the success of ...

10 Helge Rhodin, et al. ∙

research

∙ 05/25/2018

What Face and Body Shapes Can Tell About Height

Recovering a person's height from a single image is important for virtua...

0 Semih Günel, et al. ∙

research

∙ 04/03/2018

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation

Modern 3D human pose estimation techniques rely on deep networks, which ...

0 Helge Rhodin, et al. ∙

research

∙ 03/15/2018

Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera

We propose the first real-time approach for the egocentric estimation of...

0 Weipeng Xu, et al. ∙

research

∙ 03/13/2018

Learning Monocular 3D Human Pose Estimation from Multi-view Images

Accurate 3D human pose estimation from single images is possible with so...

0 Helge Rhodin, et al. ∙

research

∙ 08/07/2017

MonoPerfCap: Human Performance Capture from Monocular Video

We present the first marker-less approach for temporally coherent 3D per...

0 Weipeng Xu, et al. ∙

research

∙ 05/03/2017

VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera

We present the first real-time method to capture the full global 3D skel...

0 Dushyant Mehta, et al. ∙

research

∙ 12/31/2016

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras (Extended Abstract)

Marker-based and marker-less optical skeletal motion-capture methods use...

0 Helge Rhodin, et al. ∙

research

∙ 11/29/2016

Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision

We propose a CNN-based approach for 3D human body pose estimation from s...

0 Dushyant Mehta, et al. ∙

research

∙ 10/21/2016

Model-based Outdoor Performance Capture

We propose a new model-based method to accurately reconstruct human perf...

0 Nadia Robertini, et al. ∙

research

∙ 09/23/2016

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras

Marker-based and marker-less optical skeletal motion-capture methods use...

0 Helge Rhodin, et al. ∙

research

∙ 07/28/2016

General Automatic Human Shape and Motion Capture Using Volumetric Contour Cues

Markerless motion capture algorithms require a 3D body with properly per...

0 Helge Rhodin, et al. ∙

research

∙ 02/11/2016

Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model

Real-time marker-less hand tracking is of increasing importance in human...

0 Srinath Sridhar, et al. ∙

research

∙ 02/11/2016

A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation

Generative reconstruction methods compute the 3D configuration (such as ...

0 Helge Rhodin, et al. ∙

Helge Rhodin

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