Periodicity-Enabled Size Reduction of Symbol Based Predistortion for High-Ord…

We experimentally demonstrate a novel size reduction approach for symbol-based look-up table (LUT) digital predistortion (DPD) of the transmitter impairments taking advantage of the periodicity in …

Thermal Characteristics of GHz Passively Mode-Locked Semiconductor Disk Laser

A 1.3 GHz repetition rate optically pumped passively mode-locked semiconductor disk laser with 5.5 ps pulse duration and 204 mW average output power at 978 nm wavelength was demonstrated. Main fact…

Seek-and-Hide : Adversarial Steganography via Deep Reinforcement Learning

The goal of image steganography is to hide a full-sized image, termed secret, into another, termed cover. Prior image steganography algorithms can conceal only one secret within one cover. In this …

Object Detection in Aerial Images : A Large-Scale Benchmark and Challenges

In he past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the massive variations in the scale and orientation of objects caused by the…

Dynamic Neural Networks : A Survey

Dynamic neural network is an emerging research topic in deep learning. Compared to static models which have fixed computational graphs and parameters at the inference stage, dynamic networks can ad…

MonoEF: Extrinsic Parameter Free Monocular 3D Object Detection

Monocular 3D object detection is an important task in autonomous driving. It can be easily intractable where there exists ego-car pose change w.r.t. ground plane. This is common due to the slight f…

Flexible Wearable Optical Sensor Based on Optical Microfiber Bragg Grating

Wearable sensing devices, which can find tremendous applications in healthcare and automation, are attracting great attention in recent years. Herein, we report a flexible wearable optical sensor (…

Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Cal…

A major gap between few-shot and many-shot learning is the data distribution empirically oserved by the model during training. In few-shot learning, the learned model can easily become over-fitted …

Entrepreneurship marketing principles and practice of SME marketing

AbdomenCT-1K : Is Abdominal Organ Segmentation a Solved Problem?

With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable result…