activity
20182026
most citedSocial-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network

51 citations · 140 across the 19 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.RO2021

Cross Domain Robot Imitation with Invariant Representation

Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma +2

Animals are able to imitate each others' behavior, despite their difference in biomechanics. In contrast, imitating the other similar robots is a much more challenging task in robo…

cs.CV2021★ 1 cited

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting

Jiachen Li, Fan Yang, Hengbo Ma +3

Motion forecasting plays a significant role in various domains (e.g., autonomous driving, human-robot interaction), which aims to predict future motion sequences given a set of his…

cs.CV2021★ 4 cited

Spectral Temporal Graph Neural Network for Trajectory Prediction

Defu Cao, Jiachen Li, Hengbo Ma +1

An effective understanding of the contextual environment and accurate motion forecasting of surrounding agents is crucial for the development of autonomous vehicles and social mobi…

cs.RO2021★ 8 cited

Speed Planning Using Bezier Polynomials with Trapezoidal Corridors

Jialun Li, Xiaojia Xie, Hengbo Ma +2

To generate safe and real-time trajectories for an autonomous vehicle in dynamic environments, path and speed decoupled planning methods are often considered. This paper studies sp…

cs.CV2021★ 4 cited

Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking

Jiachen Li, Hengbo Ma, Zhihao Zhang +2

An effective understanding of the environment and accurate trajectory prediction of surrounding dynamic obstacles are indispensable for intelligent mobile systems (e.g. autonomous…