activity
20182024
most citedEvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning

101 citations · 182 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CV2020

Shared Cross-Modal Trajectory Prediction for Autonomous Driving

Chiho Choi, Joon Hee Choi, Jiachen Li +1

Predicting future trajectories of traffic agents in highly interactive environments is an essential and challenging problem for the safe operation of autonomous driving systems. On…

cs.CV2020

Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast

Srikanth Malla, Chiho Choi, Behzad Dariush

This paper considers the problem of multi-modal future trajectory forecast with ranking. Here, multi-modality and ranking refer to the multiple plausible path predictions and the c…

cs.CV2020

SSP: Single Shot Future Trajectory Prediction

Isht Dwivedi, Srikanth Malla, Behzad Dariush +1

We propose a robust solution to future trajectory forecast, which can be practically applicable to autonomous agents in highly crowded environments. For this, three aspects are par…

cs.CV2020

Shared Cross-Modal Trajectory Prediction for Autonomous Driving

Chiho Choi, Joon Hee Choi, Srikanth Malla +1

Predicting future trajectories of traffic agents in highly interactive environments is an essential and challenging problem for the safe operation of autonomous driving systems. On…

cs.CV2020★ 101 cited

EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning

Jiachen Li, Fan Yang, Masayoshi Tomizuka +1

Multi-agent interacting systems are prevalent in the world, from pure physical systems to complicated social dynamic systems. In many applications, effective understanding of the s…

cs.CV2020

TITAN: Future Forecast using Action Priors

Srikanth Malla, Behzad Dariush, Chiho Choi

We consider the problem of predicting the future trajectory of scene agents from egocentric views obtained from a moving platform. This problem is important in a variety of domains…