Search Results - IEEE

Deep Ordinal Regression Network for Monocular Depth Estimation by Fu, Huan, Gong, Mingming, Wang, Chaohui, Batmanghelich, Kayhan, Tao, Dacheng

“…Monocular depth estimation, which plays a crucial role in understanding 3D scene geometry, is an ill-posed problem. Recent methods have gained significant…”
Get full text

Deep Convolutional Neural Network for Inverse Problems in Imaging by Jin, Kyong Hwan, McCann, Michael T., Froustey, Emmanuel, Unser, Michael

“…In this paper, we propose a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Regularized iterative…”
Get full text

DehazeNet: An End-to-End System for Single Image Haze Removal by Cai, Bolun, Xu, Xiangmin, Jia, Kui, Qing, Chunmei, Tao, Dacheng

“…Single image haze removal is a challenging ill-posed problem. Existing methods use various constraints/priors to get plausible dehazing solutions. The key to…”
Get full text

TextBoxes++: A Single-Shot Oriented Scene Text Detector by Liao, Minghui, Shi, Baoguang, Bai, Xiang

“…Scene text detection is an important step of scene text recognition system and also a challenging problem. Different from general object detections, the main…”
Get full text

Cell-Free Massive MIMO Versus Small Cells by Ngo, Hien Quoc, Ashikhmin, Alexei, Yang, Hong, Larsson, Erik G., Marzetta, Thomas L.

“…A Cell-Free Massive MIMO (multiple-input multiple-output) system comprises a very large number of distributed access points (APs), which simultaneously serve a…”
Get full text

Generalized Orthopair Fuzzy Sets by Yager, Ronald R.

“…We note that orthopair fuzzy subsets are such that that their membership grades are pairs of values, from the unit interval, one indicating the degree of…”
Get full text

Computation Rate Maximization for Wireless Powered Mobile-Edge Computing With Binary Computation Offloading by Bi, Suzhi, Zhang, Ying Jun

“…Finite battery lifetime and low computing capability of size-constrained wireless devices (WDs) have been longstanding performance limitations of many…”
Get full text

Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces by Sha Hu, Rusek, Fredrik, Edfors, Ove

“…In this paper, we consider the potential of data transmission in a system with a massive number of radiating and sensing elements, thought of as a contiguous…”
Get full text

Image Super-Resolution Using Deep Convolutional Networks by Chao Dong, Loy, Chen Change, Kaiming He, Xiaoou Tang

“…We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution…”
Get full text

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems by Figueiredo Prudencio, Rafael, Maximo, Marcos R. O. A., Colombini, Esther Luna

“…With the widespread adoption of deep learning, reinforcement learning (RL) has experienced a dramatic increase in popularity, scaling to previously intractable…”
Get full text

Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network by Chen, Min, Hao, Yixue

“…With the development of recent innovative applications (e.g., augment reality, self-driving, and various cognitive applications), more and more…”
Get full text

Massive Connectivity With Massive MIMO-Part I: Device Activity Detection and Channel Estimation by Liu, Liang, Yu, Wei

“…This two-part paper considers an uplink massive device communication scenario in which a large number of devices are connected to a base station (BS), but user…”
Get full text

Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems by Xing, Lantao, Wen, Changyun, Liu, Zhitao, Su, Hongye, Cai, Jianping

“…In this technical note, the problem of event-trigger based adaptive control for a class of uncertain nonlinear systems is considered. The nonlinearities of the…”
Get full text

Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading by You, Changsheng, Huang, Kaibin, Chae, Hyukjin, Kim, Byoung-Hoon

“…Mobile-edge computation offloading (MECO) off-loads intensive mobile computation to clouds located at the edges of cellular networks. Thereby, MECO is…”
Get full text

Generalization of the Dark Channel Prior for Single Image Restoration by Yan-Tsung Peng, Keming Cao, Cosman, Pamela C.

“…Images degraded by light scattering and absorption, such as hazy, sandstorm, and underwater images, often suffer color distortion and low contrast because of…”
Get full text

ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation by Romera, Eduardo, Alvarez, Jose M., Bergasa, Luis M., Arroyo, Roberto

“…Semantic segmentation is a challenging task that addresses most of the perception needs of intelligent vehicles (IVs) in an unified way. Deep neural networks…”
Get full text

Video Salient Object Detection via Fully Convolutional Networks by Wang, Wenguan, Shen, Jianbing, Shao, Ling

“…This paper proposes a deep learning model to efficiently detect salient regions in videos. It addresses two important issues: 1) deep video saliency model…”
Get full text

Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal by Xueyang Fu, Jiabin Huang, Xinghao Ding, Yinghao Liao, Paisley, John

“…We introduce a deep network architecture called DerainNet for removing rain streaks from an image. Based on the deep convolutional neural network (CNN), we…”
Get full text

High-Speed Tracking with Kernelized Correlation Filters by Henriques, Joao F., Caseiro, Rui, Martins, Pedro, Batista, Jorge

“…The core component of most modern trackers is a discriminative classifier, tasked with distinguishing between the target and the surrounding environment. To…”
Get full text

Stochastic Joint Radio and Computational Resource Management for Multi-User Mobile-Edge Computing Systems by Yuyi Mao, Jun Zhang, Song, S. H., Letaief, Khaled B.

“…Mobile-edge computing (MEC) has recently emerged as a prominent technology to liberate mobile devices from computationally intensive workloads, by offloading…”
Get full text