Deep convolutional neural networks (CNNs) for video denoising are typically trained with supervision, assuming the availability of clean videos. However, in many applications, such as microscopy, noiseless videos are not …
Are existing object detection methods adequate for detecting text and visual elements in scientific plots which are ar-guably different than the objects found in natural images? To answer this question, we train and …
Recently there has been a lot of work on pruning filters from deep convolutional neural networks (CNNs) with the intention of reducing computations. The key idea is to rank the filters based on a certain criterion (say, …
