most citedTNT: Target-driveN Trajectory Prediction

211 citations · 264 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps

Lu Mi, Hang Zhao, Charlie Nash +7

High Definition (HD) maps are maps with precise definitions of road lanes with rich semantics of the traffic rules. They are critical for several key stages in an autonomous drivin…

cs.CV2020211 cited

TNT: Target-driveN Trajectory Prediction

Hang Zhao, Jiyang Gao, Tian Lan +9

Predicting the future behavior of moving agents is essential for real world applications. It is challenging as the intent of the agent and the corresponding behavior is unknown and…

cs.CV202044 cited

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Jiyang Gao, Chen Sun, Hang Zhao +4

Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road compone…

cs.CV20209 cited

STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction

Zhishuai Zhang, Jiyang Gao, Junhua Mao +3

Detecting pedestrians and predicting future trajectories for them are critical tasks for numerous applications, such as autonomous driving. Previous methods either treat the detect…

cs.CV2020

CPARR: Category-based Proposal Analysis for Referring Relationships

Chuanzi He, Haidong Zhu, Jiyang Gao +2

The task of referring relationships is to localize subject and object entities in an image satisfying a relationship query, which is given in the form of \texttt{<subject, predicat…