118 citations · 221 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
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…
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
Aduen Benjumea, Izzeddin Teeti, Fabio Cuzzolin +1
As autonomous vehicles and autonomous racing rise in popularity, so does the need for faster and more accurate detectors. While our naked eyes are able to extract contextual inform…
ROAD: The ROad event Awareness Dataset for Autonomous Driving
Gurkirt Singh, Stephen Akrigg, Manuele Di Maio +13
Humans drive in a holistic fashion which entails, in particular, understanding dynamic road events and their evolution. Injecting these capabilities in autonomous vehicles can thus…