Change detection for aerial imagery involves locating and identifying ch...
Requirements of large amounts of data is a difficulty in training many G...
Traditional survey methods for finding surface resistivity are time-cons...
Randomized sampling techniques have become increasingly useful in seismi...
Deep learning has led to many recent advances in object detection and
in...
Unsupervised image-to-image translation is used to transform images from...
In this paper, we proposed a fast recovery strategy for a dual link fail...
Level-set optimization formulations with data-driven constraints minimiz...
Stochastic optimization is key to efficient inversion in PDE-constrained...
Acquisition cost is a crucial bottleneck for seismic workflows, and low-...
OCR has been an active research area since last few decades. OCR perform...
Recent SVD-free matrix factorization formulations have enabled rank
mini...