motion prediction

194 papers with code • 0 benchmarks • 13 datasets

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Use these libraries to find motion prediction models and implementations
3 papers
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Most implemented papers

Tracking without bells and whistles

phil-bergmann/tracking_wo_bnw ICCV 2019

Therefore, we motivate our approach as a new tracking paradigm and point out promising future research directions.

On human motion prediction using recurrent neural networks

una-dinosauria/human-motion-prediction CVPR 2017

Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented reality.

GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving

xincoder/GRIP arXiv preprint 2020

Despite the advancement in the technology of autonomous driving cars, the safety of a self-driving car is still a challenging problem that has not been well studied.

Learning Trajectory Dependencies for Human Motion Prediction

wei-mao-2019/LearnTrajDep ICCV 2019

In this paper, we propose a simple feed-forward deep network for motion prediction, which takes into account both temporal smoothness and spatial dependencies among human body joints.

Scene Transformer: A unified architecture for predicting multiple agent trajectories

AlbertFeng-0405/SceneTransformer-pytorch 15 Jun 2021

In this work, we formulate a model for predicting the behavior of all agents jointly, producing consistent futures that account for interactions between agents.

HP-GAN: Probabilistic 3D human motion prediction via GAN

ebarsoum/hpgan 27 Nov 2017

Our model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN

maharshi95/Pose2vec 6 Dec 2018

The discriminator is trained also to regress this extrinsic factor r, which is used alongside with the intrinsic factor (encoded starting pose sequence) to generate a particular pose sequence.

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

abduallahmohamed/Social-STGCNN CVPR 2020

Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.

One Thousand and One Hours: Self-driving Motion Prediction Dataset

wenkaip-1836890/pyromid_l5prediction 25 Jun 2020

Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1, 000 hours of data.

History Repeats Itself: Human Motion Prediction via Motion Attention

wei-mao-2019/HisRepItself ECCV 2020

Human motion prediction aims to forecast future human poses given a past motion.