3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CV2021
GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object Detection
Osama Mazhar, Robert Babuska, Jens Kober
Deep neural networks designed for vision tasks are often prone to failure when they encounter environmental conditions not covered by the training data. Single-modal strategies are…
cs.CV2021★ 3 cited
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions
Osama Mazhar, Jens Kober
In this paper, we propose a new data augmentation method, Random Shadows and Highlights (RSH) to acquire robustness against lighting perturbations. Our method creates random shadow…
cs.CV2020
A Deep Learning Framework for Recognizing both Static and Dynamic Gestures
Osama Mazhar, Sofiane Ramdani, Andrea Cherubini
Intuitive user interfaces are indispensable to interact with the human centric smart environments. In this paper, we propose a unified framework that recognizes both static and dyn…