2 citations · 3 across the 5 of their papers we have counts for
5 papers
BADAS: Context Aware Collision Prediction Using Real-World Dashcam Data
Roni Goldshmidt, Hamish Scott, Lorenzo Niccolini +3
Existing collision prediction methods often fail to distinguish between ego-vehicle threats and random accidents not involving the ego vehicle, leading to excessive false alerts in…
Nexar Dashcam Collision Prediction Dataset and Challenge
Daniel C. Moura, Shizhan Zhu, Orly Zvitia
This paper presents the Nexar Dashcam Collision Prediction Dataset and Challenge, designed to support research in traffic event analysis, collision prediction, and autonomous vehic…
Face Recognition Using Synthetic Face Data
Omer Granoviter, Alexey Gruzdev, Vladimir Loginov +2
In the field of deep learning applied to face recognition, securing large-scale, high-quality datasets is vital for attaining precise and reliable results. However, amassing signif…
Knowing the Distance: Understanding the Gap Between Synthetic and Real Data For Face Parsing
Eli Friedman, Assaf Lehr, Alexey Gruzdev +4
The use of synthetic data for training computer vision algorithms has become increasingly popular due to its cost-effectiveness, scalability, and ability to provide accurate multi-…
Hands-Up: Leveraging Synthetic Data for Hands-On-Wheel Detection
Paul Yudkin, Eli Friedman, Orly Zvitia +1
Over the past few years there has been major progress in the field of synthetic data generation using simulation based techniques. These methods use high-end graphics engines and p…