17 datasets found

LindyHop600K is a new dataset for 3D human motion prediction, featuring Lindy Hop dancers performing energetic moves.

Human motion prediction is a classical problem in computer vision and computer graphics, which has a wide range of practical applications. Previous effects achieve great...

Human motion prediction model has applications in various fields of computer vision. Without taking into account the inherent stochasticity in the prediction of future pose...

Human motion prediction is a research area of high significance and a challenge in computer vision. It is useful for the design of many applications including robotics and...

RGB-D action and gesture recognition remains an interesting topic in human-centered scene understanding, primarily due to the multiple granularities and large variation in human...

The BABEL dataset is a multilingual speech recognition dataset containing over 1,000 hours of speech from 6 languages.

The GIMO dataset contains motion and gaze data captured from 11 participants.

The MoGaze dataset provides motion capture and eye-tracking data recorded simultaneously from 6 participants performing place and pick actions.

The dataset used in the paper is a collection of human trajectory data, which is used to evaluate the performance of the proposed Social Pattern Extraction Convolution (PEC)...

The dataset used in the paper is a collection of human trajectory data, which is used to evaluate the performance of the proposed Social Pattern Extraction Convolution (PEC)...

The dataset used in the paper is a collection of human trajectory data, which is used to train and evaluate the proposed Social Pattern Extraction Convolution (PEC) model for...

Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be...

Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be...

Human motion trajectory prediction using the Social Force Model for real-time and low computational cost applications

3D human pose and mesh estimation, the task of recon-structing human pose in 3D space given a 2D image of the person, is an ill-posed problem, and many data-driven ap-proaches...

Human motion prediction is a challenging task due to the stochasticity and aperiodicity of future poses. Recently, graph convolutional network has been proven to be very...

HumanAct12 dataset is a large-scale 3D human motion dataset with textual descriptions.