Deep Neural Networks (DNNs) employed for image segmentation are computationally more expensive and complex compared to the ones used for classification. However, manycore architectures to accelerate the training of these DNNs are relatively …
We consider the task of predicting 3D object shapes from color images on mobile platforms, which has many real-world applications including augmented reality (AR), virtual reality (VR), and robotics. Recent work has developed a Graph Convolution …
We consider the problem of constrained multi-objective (MO) blackbox optimization using expensive function evaluations, where the goal is to approximate the true Pareto set of solutions satisfying a set of constraints while minimizing the number of …