Topic Brief: Authors: Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann Institute: Institute for Mdeia Innovation, Nanyang Technological ... This is the 8 minutes (1-minute summary + 7-minute presentation) video presentation of our paper at CVPR 2023:

3d Hand Pose Estimation Using Convolutional Neural Networks -

Authors: Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann Institute: Institute for Mdeia Innovation, Nanyang Technological ... This is the 8 minutes (1-minute summary + 7-minute presentation) video presentation of our paper at CVPR 2023:

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  • Authors: Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann Institute: Institute for Mdeia Innovation, Nanyang Technological ...
  • This is the 8 minutes (1-minute summary + 7-minute presentation) video presentation of our paper at CVPR 2023:

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3D Hand Pose Estimation Using Convolutional Neural Networks

3D Hand Pose Estimation Using Convolutional Neural Networks

Read more details and related context about 3D Hand Pose Estimation Using Convolutional Neural Networks.

1211 - Active Learning for 3D Hand Pose Estimations

1211 - Active Learning for 3D Hand Pose Estimations

Read more details and related context about 1211 - Active Learning for 3D Hand Pose Estimations.

Real-time 3D Hand Pose Estimation with 3D Convolutional Neural Networks

Real-time 3D Hand Pose Estimation with 3D Convolutional Neural Networks

Authors: Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann Institute: Institute for Mdeia Innovation, Nanyang Technological ...

Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks

Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks

Read more details and related context about Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks.

Arjun Jain - Joint Training of a CNN and a Graphical Model for Human Pose Estimation

Arjun Jain - Joint Training of a CNN and a Graphical Model for Human Pose Estimation

We propose a new hybrid architecture that consists of a deep

[CVPR2023] Neural Voting Field for Camera-Space 3D Hand Pose Estimation

[CVPR2023] Neural Voting Field for Camera-Space 3D Hand Pose Estimation

This is the 8 minutes (1-minute summary + 7-minute presentation) video presentation of our paper at CVPR 2023:

(CVPR 2016) DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

(CVPR 2016) DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

Read more details and related context about (CVPR 2016) DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features.

FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by ...

FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by ...

Read more details and related context about FingerTrak: Continuous 3D Hand Pose Tracking by Deep Learning Hand Silhouettes Captured by ....

Human Keypoint estimation using Convolutional Neural Network

Human Keypoint estimation using Convolutional Neural Network

Read more details and related context about Human Keypoint estimation using Convolutional Neural Network.

Hand3D: Hand Pose Estimation using 3D Neural Network

Hand3D: Hand Pose Estimation using 3D Neural Network

Read more details and related context about Hand3D: Hand Pose Estimation using 3D Neural Network.