activity
20182022
most citedThe H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes

28 citations · 31 across the 3 of their papers we have counts for

collaborators

11 papers

cs.CV20222 cited

DRAMA: Joint Risk Localization and Captioning in Driving

Srikanth Malla, Chiho Choi, Isht Dwivedi +2

Considering the functionality of situational awareness in safety-critical automation systems, the perception of risk in driving scenes and its explainability is of particular impor…

cs.CV2021

LOKI: Long Term and Key Intentions for Trajectory Prediction

Harshayu Girase, Haiming Gang, Srikanth Malla +4

Recent advances in trajectory prediction have shown that explicit reasoning about agents' intent is important to accurately forecast their motion. However, the current research act…

cs.CV20211 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.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…