4 citations · 8 across the 3 of their papers we have counts for
5 papers · 1 filter
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction
Izzeddin Teeti, Aniket Thomas, Munish Monga +5
We present ASTRA (A} Scene-aware TRAnsformer-based model for trajectory prediction), a light-weight pedestrian trajectory forecasting model that integrates the scene context, spati…
ROAD-Waymo: A Large-Scale Action Awareness Dataset for Autonomous Driving
Salman Khan, Izzeddin Teeti, Reza Javanmard Alitappeh +5
Autonomous Vehicle (AV) perception systems require more than simply seeing, via e.g., object detection or scene segmentation. They need a holistic understanding of what is happenin…
A Hybrid Graph Network for Complex Activity Detection in Video
Salman Khan, Izzeddin Teeti, Andrew Bradley +2
Interpretation and understanding of video presents a challenging computer vision task in numerous fields - e.g. autonomous driving and sports analytics. Existing approaches to inte…
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction
Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh +3
The emerging field of action prediction plays a vital role in various computer vision applications such as autonomous driving, activity analysis and human-computer interaction. Des…
Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room
Tochukwu Onyeogulu, Salman Khan, Izzeddin Teeti +6
Nowadays, there are more surgical procedures that are being performed using minimally invasive surgery (MIS). This is due to its many benefits, such as minimal post-operative probl…