Search Results for author:
Found 8 papers, 3 papers with code
Small Distance Increment Method for Measuring Complex Permittivity With mmWave Radar
With the proposed method, the estimated complex permittivity of acrylic plate shows good agreement with the literature values, demonstrating the efficacy of SDI method for characterizing the complex permittivity of material.
GroundingGPT:Language Enhanced Multi-modal Grounding Model
Beyond capturing global information like other multi-modal models, our proposed model excels at tasks demanding a detailed understanding of local information within the input.
Pensieve 5G: Implementation of RL-based ABR Algorithm for UHD 4K/8K Content Delivery on Commercial 5G SA/NR-DC Network
While the rollout of the fifth-generation mobile network (5G) is underway across the globe with the intention to deliver 4K/8K UHD videos, Augmented Reality (AR), and Virtual Reality (VR) content to the mass amounts of users, the coverage and throughput are still one of the most significant issues, especially in the rural areas, where only 5G in the low-frequency band are being deployed.
RSSI-CSI Measurement and Variation Mitigation with Commodity WiFi Device
In this paper, the relationship between RSSI and CSI is studied in detail and the measurement variation of amplitude and phase information is investigated by extensive experiments.
SCA Net: Sparse Channel Attention Module for Action Recognition
Channel attention has shown its great performance recently when it was incorporated into deep convolutional neural networks.
WiEps: Measurement of Dielectric Property with Commodity WiFi Device -- An application to Ethanol/Water Mixture
A theoretical model is proposed to quantitatively describe the relationship between CSI data and dielectric properties of the material.
Discover and Learn New Objects from Documentaries
Despite the remarkable progress in recent years, detecting objects in a new context remains a challenging task.
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
This paper presents the method that underlies our submission to the untrimmed video classification task of ActivityNet Challenge 2016.
