research
∙
09/09/2023
Mirror-Aware Neural Humans
Human motion capture either requires multi-camera systems or is unreliab...
share
research
∙
08/23/2023
Pose Modulated Avatars from Video
It is now possible to reconstruct dynamic human motion and shape from a ...
research
∙
06/01/2023
Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification
Modern deep neural networks are prone to being overconfident despite the...
research
∙
05/27/2023
GMSF: Global Matching Scene Flow
We tackle the task of scene flow estimation from point clouds. Given a s...
research
∙
11/29/2022
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
Traditionally, monocular 3D human pose estimation employs a machine lear...
research
∙
10/14/2022
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
Industrial defect detection is commonly addressed with anomaly detection...
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...
research
∙
05/06/2022
LatentKeypointGAN: Controlling Images via Latent Keypoints – Extended Abstract
Generative adversarial networks (GANs) can now generate photo-realistic ...
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...
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...
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...
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...
research
∙
10/06/2021
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
In industrial manufacturing processes, errors frequently occur at unpred...
research
∙
07/29/2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
3D human pose estimation from monocular images is a highly ill-posed pro...
research
∙
03/29/2021
LatentKeypointGAN: Controlling GANs via Latent Keypoints
Generative adversarial networks (GANs) have attained photo-realistic qua...
research
∙
12/22/2020
AudioViewer: Learning to Visualize Sound
Sensory substitution can help persons with perceptual deficits. In this ...
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...
research
∙
08/28/2020
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
The detection of manufacturing errors is crucial in fabrication processe...
research
∙
07/17/2020
Weakly-supervised Learning of Human Dynamics
This paper proposes a weakly-supervised learning framework for dynamics ...
research
∙
08/07/2019
Structuring Autoencoders
In this paper we propose Structuring AutoEncoders (SAE). SAEs are neural...
research
∙
02/26/2019
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
This paper addresses the problem of 3D human pose estimation from single...
research
∙
02/01/2017
