activity
20222025
most citedIdentification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning

4 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025★ 1 cited

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…

cs.CV2024

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…

cs.CV2023

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…

cs.CV2023

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…

cs.LG2022★ 4 cited

Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning

Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik +8

The operating room (OR) is a dynamic and complex environment consisting of a multidisciplinary team working together in a high take environment to provide safe and efficient patien…

cs.CV2022★ 3 cited

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…

cs.CV2022★ 3 cited

Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing

Izzeddin Teeti, Valentina Musat, Salman Khan +3

In an autonomous driving system, perception - identification of features and objects from the environment - is crucial. In autonomous racing, high speeds and small margins demand r…