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Found 14 papers, 2 papers with code
Channel Estimation and Beamforming for Beyond Diagonal Reconfigurable Intelligent Surfaces
In this paper, we study channel estimation and beamforming design for BD-RIS aided multi-antenna systems.
Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images
G-HANet is expected to be explored as a useful tool by the research community to address the current bottleneck of insufficient histo-genomic data pairing in the context of cancer prognosis and precision oncology.
Unveiling the Generalization Power of Fine-Tuned Large Language Models
While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities, fine-tuning these models on downstream, domain-specific datasets is often necessary to yield superior performance on test sets compared to their counterparts without fine-tuning.
CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models
The best candidate is finally selected from this set based on the BLEURT score.
Multi-functional OFDM Signal Design for Integrated Sensing, Communications, and Power Transfer
To characterize the ISCAP performance region, we assume symbols with non-zero mean asymmetric Gaussian distribution (i. e., the input distribution), and optimize its mean and variance at each subcarrier to maximize the harvested power, subject to constraints on the achievable rate (communications) and the average side-to-peak-lobe difference (sensing).
Forward Flow for Novel View Synthesis of Dynamic Scenes
This paper proposes a neural radiance field (NeRF) approach for novel view synthesis of dynamic scenes using forward warping.
Channel Estimation for Beyond Diagonal Reconfigurable Intelligent Surfaces with Group-Connected Architectures
We study channel estimation for a beyond diagonal reconfigurable intelligent surface (BD-RIS) aided multiple input single output system.
Input Distribution Optimization in OFDM Dual-Function Radar-Communication Systems
However, the overall power allocation (i. e., the sum of mean and variance) across the OFDM subcarriers and symbols is similar to (1).
Waveform Design for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-Linearities
Current research has optimized transmit waveform, adaptive to channel state information (CSI), to maximize the harvested power in WPT while accounting for energy harvester (EH)'s non-linearity.
Waveform Optimization for Wireless Power Transfer with Power Amplifier and Energy Harvester Non-Linearities
Waveform optimization has recently been shown to be a key technique to boost the efficiency and range of far-field wireless power transfer (WPT).
Improving Robustness for Pose Estimation via Stable Heatmap Regression
Deep learning methods have achieved excellent performance in pose estimation, but the lack of robustness causes the keypoints to change drastically between similar images.
Self-Paced Video Data Augmentation with Dynamic Images Generated by Generative Adversarial Networks
The dynamic image compresses the motion information of video into a still image, removing the interference factors such as the background.
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB
During training, based on the relation between these common characteristics and 3D pose learned from fully-annotated synthetic datasets, it is beneficial for the network to restore the 3D pose of weakly labeled real-world datasets with the aid of 2D annotations and depth images.
Modeling treatment events in disease progression
Ability to quantify and predict progression of a disease is fundamental for selecting an appropriate treatment.
