2.7k citations · 7k across the 44 of their papers we have counts for
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Optimal Uncertainty-guided Neural Network Training
H M Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard +2
The neural network (NN)-based direct uncertainty quantification (UQ) methods have achieved the state of the art performance since the first inauguration, known as the lower-upper-b…
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +6
Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances how…
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet
Khaled Saleh, Mohammed Hossny, Saeid Nahavandi
Understanding the behaviors and intentions of humans are one of the main challenges autonomous ground vehicles still faced with. More specifically, when it comes to complex environ…
Realistic Hair Simulation Using Image Blending
Mohamed Attia, Mohammed Hossny, Saeid Nahavandi +2
In this presented work, we propose a realistic hair simulator using image blending for dermoscopic images. This hair simulator can be used for benchmarking and validation of the ha…
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery
Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi +2
In robotic surgery, pattern cutting through a deformable material is a challenging research field. The cutting procedure requires a robot to concurrently manipulate a scissor and a…
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting
Thanh Thi Nguyen, Ngoc Duy Nguyen, Fernando Bello +1
Surgeons normally need surgical scissors and tissue grippers to cut through a deformable surgical tissue. The cutting accuracy depends on the skills to manipulate these two tools.…