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Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.

Abstract: Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for ...

This is a demonstration of using the esp32-rotary-encoder driver to track the relative position of an incremental rotary encoder. It is written and tested for v3.3 of the ESP-IDF environment, using ...

We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our pSp framework is based on a novel encoder network that directly generates a series of style vectors which are ...

Follow-up appointments happen two weeks, six weeks, three months, and one year after surgery. At the initial follow-up, doctors check incision healing, pain management, and physical therapy progress.