3 code implementations • ECCV 2020 • Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon
In this work, we present Predicted Endpoint Conditioned Network (PECNet) for flexible human trajectory prediction.
Ranked #1 on Multi Future Trajectory Prediction on ETH/UCY
2 code implementations • ICCV 2021 • Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik
Uncertainty in future trajectories stems from two sources: (a) sources that are known to the agent but unknown to the model, such as long term goals and (b)sources that are unknown to both the agent & the model, such as intent of other agents & irreducible randomness indecisions.
Ranked #3 on Trajectory Prediction on ETH/UCY
no code implementations • 29 Apr 2021 • Harshayu Girase, Jerrick Hoang, Sai Yalamanchi, Micol Marchetti-Bowick
Predicting the future motion of actors in a traffic scene is a crucial part of any autonomous driving system.
no code implementations • ICCV 2021 • Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
We also propose a model that jointly performs trajectory and intention prediction, showing that recurrently reasoning about intention can assist with trajectory prediction.
no code implementations • CVPR 2023 • Harshayu Girase, Nakul Agarwal, Chiho Choi, Karttikeya Mangalam
We present RAFTformer, a real-time action forecasting transformer for latency aware real-world action forecasting applications.