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Found 12 papers, 2 papers with code
Maximizing Energy Charging for UAV-assisted MEC Systems with SWIPT
By leveraging the SWIPT technique, the UAV can simultaneously transmit energy and the computing results during the downlink period.
An Information Theoretic Approach to Interaction-Grounded Learning
Reinforcement learning (RL) problems where the learner attempts to infer an unobserved reward from some feedback variables have been studied in several recent papers.
Provably Efficient CVaR RL in Low-rank MDPs
We study CVaR RL in low-rank MDPs with nonlinear function approximation.
On the Generalization and Advancement of Half-Sine-Based Pulse Shaping Filters for Constant Envelope OQPSK Modulation
The offset quadrature phase-shift keying (OQPSK) modulation is a key factor for the technique of ZigBee, which has been adopted in IEEE 802. 15. 4 for wireless communications of Internet of Things (IoT) and Internet of Vehicles (IoV), etc.
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image Denoising
Based on the prior that, for each pixel, its similar pixels are usually spatially close, our insights are that (1) we partition the image into non-overlapped windows and perform regional self-attention to reduce the search range of each pixel, and (2) we encourage pixels across different windows to communicate with each other.
Approximation-free control based on the bioinspired reference model for suspension systems with uncertainty and unknown nonlinearity
The proposed method integrates the superior vibration suppression of the bioinspired reference model and the structural advantage of the prescribed performance function (PPF) in approximation-free control.
MIMO-OFDM Dual-Functional Radar-Communication Systems: Low-PAPR Waveform Design
In this paper, we explore a dual-functional radar-communication (DFRC) system for achieving integrated sensing and communications (ISAC).
MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems
In most of the related HDR imaging methods, the problem is usually solved by Multiple Images Merging, i. e. the final HDR image is fused from pixels of all the input LDR images.
Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions
In this paper, we explore optimization-based and data-driven solutions in a reconfigurable intelligent surface (RIS)-aided multi-user mobile edge computing (MEC) system, where the user equipment (UEs) can partially offload their computation tasks to the access point (AP).
Joint Pose and Shape Estimation of Vehicles from LiDAR Data
We address the problem of estimating the pose and shape of vehicles from LiDAR scans, a common problem faced by the autonomous vehicle community.
Geometry-Aware Instance Segmentation with Disparity Maps
Mask regression is based on 2D, 2. 5D, and 3D ROI using the pseudo-lidar and image-based representations.
Ranked #16 on
Instance Segmentation
on Cityscapes val
(using extra training data)
3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach
We investigate the problem of estimating the 3D shape of an object, given a set of 2D landmarks in a single image.
