Media Summary: This is the supplementary video of the paper Lu Zhang, Peiliang Li, Jing Chen and Shaojie Shen, " This is the video of the paper Lu Zhang, Peiliang Li, Jing Chen and Shaojie Shen, " Unlock the future of autonomous driving with the

Trajectory Prediction With Graph Based - Detailed Analysis & Overview

This is the supplementary video of the paper Lu Zhang, Peiliang Li, Jing Chen and Shaojie Shen, " This is the video of the paper Lu Zhang, Peiliang Li, Jing Chen and Shaojie Shen, " Unlock the future of autonomous driving with the This is the CVPR 2022 virtual presentation video for paper " Video attachment for the paper: "Long-Term Human For more information about Stanford's Artificial Intelligence professional and graduate programs, visit:

Authors: Jianhua Sun, Qinhong Jiang, Cewu Lu Description: Social interaction is an important topic in human A novel multiscale hypergraph neural network to model pair-wise and group-wise social interactions for better This work appears in the proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2017. Authors ... Authors: Colin Graber, Alexander Schwing Description: Understanding interactions between entities, e.g., joints of the human ... This video demonstrates the simulation and real-world experiments of our paper, which is submitted to IROS 2022. For details ... Yeseung Kim, Jinwoo Kim, Daehyung Park* IEEE Robotics and Automation Letters (RA-L), Oral presentation in IEEE IROS, 2022.

Photo Gallery

Supplementary Video - Trajectory Prediction with Graph-based Dual-scale Context Fusion
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Mastering Vehicle Trajectory Prediction with Uncertainty Awareness
[CVPR2022] Graph-based Spatial Transformer & Memory Replay: Multi-future Trajectory Prediction
Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs
ICIP 2022 - Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding
Stanford CS224W: ML with Graphs | 2021 | Lecture 2.2 - Traditional Feature-based Methods: Link
Recursive Social Behavior Graph for Trajectory Prediction
[CVPR 2022] GroupNet: Hypergraph networks for trajectory prediction with relational reasoning
Motion Planning with Graph-Based Trajectories and Gaussian Process Inference
Dynamic Neural Relational Inference for Forecasting Trajectories
Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction
View Detailed Profile
Supplementary Video - Trajectory Prediction with Graph-based Dual-scale Context Fusion

Supplementary Video - Trajectory Prediction with Graph-based Dual-scale Context Fusion

This is the supplementary video of the paper Lu Zhang, Peiliang Li, Jing Chen and Shaojie Shen, "

Trajectory Prediction with Graph-based Dual-scale Context Fusion

Trajectory Prediction with Graph-based Dual-scale Context Fusion

This is the video of the paper Lu Zhang, Peiliang Li, Jing Chen and Shaojie Shen, "

Mastering Vehicle Trajectory Prediction with Uncertainty Awareness

Mastering Vehicle Trajectory Prediction with Uncertainty Awareness

Unlock the future of autonomous driving with the

[CVPR2022] Graph-based Spatial Transformer & Memory Replay: Multi-future Trajectory Prediction

[CVPR2022] Graph-based Spatial Transformer & Memory Replay: Multi-future Trajectory Prediction

This is the CVPR 2022 virtual presentation video for paper "

Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs

Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs

Video attachment for the paper: "Long-Term Human

ICIP 2022 - Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding

ICIP 2022 - Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding

Multiclass-SGCN: Sparse

Stanford CS224W: ML with Graphs | 2021 | Lecture 2.2 - Traditional Feature-based Methods: Link

Stanford CS224W: ML with Graphs | 2021 | Lecture 2.2 - Traditional Feature-based Methods: Link

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3mjkzZQ ...

Recursive Social Behavior Graph for Trajectory Prediction

Recursive Social Behavior Graph for Trajectory Prediction

Authors: Jianhua Sun, Qinhong Jiang, Cewu Lu Description: Social interaction is an important topic in human

[CVPR 2022] GroupNet: Hypergraph networks for trajectory prediction with relational reasoning

[CVPR 2022] GroupNet: Hypergraph networks for trajectory prediction with relational reasoning

A novel multiscale hypergraph neural network to model pair-wise and group-wise social interactions for better

Motion Planning with Graph-Based Trajectories and Gaussian Process Inference

Motion Planning with Graph-Based Trajectories and Gaussian Process Inference

This work appears in the proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2017. Authors ...

Dynamic Neural Relational Inference for Forecasting Trajectories

Dynamic Neural Relational Inference for Forecasting Trajectories

Authors: Colin Graber, Alexander Schwing Description: Understanding interactions between entities, e.g., joints of the human ...

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction

This video demonstrates the simulation and real-world experiments of our paper, which is submitted to IROS 2022. For details ...

GraphDistNet: A Graph-based Collision-distance Estimator for Gradient-based Trajectory

GraphDistNet: A Graph-based Collision-distance Estimator for Gradient-based Trajectory

Yeseung Kim, Jinwoo Kim, Daehyung Park* IEEE Robotics and Automation Letters (RA-L), Oral presentation in IEEE IROS, 2022.