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ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution
Axi Niu;Trung X. Pham;Kang Zhang;Jinqiu Sun;Yu Zhu;Qingsen Yan;In So Kweon;Yanning Zhang
IEEE Transactions on Broadcasting
Cited by: Papers (5)
Diffusion models have gained significant popularity for image-to-image translation tasks. Previous efforts applying diffusion models to image super-resolution have demonstrated that iteratively refining pure Gaussian noise using a U-Net architecture trained on denoising at various noise levels can yield satisfactory high-resolution images from low-resolution inputs. However, this iterative refinem...Show More
To facilitate human–computer interaction (HCL) for the community with deafness and hearing loss (D&HL), this article explored the feasibility of recognizing a vocabulary of dynamic Chinese sign language (CSL) based on millimeter-wave (mmWave) radar sensors within the scope of data science. Fundamental problems that challenge its applications on computers and other electronic devices were addressed...Show More
Overview of Electromagnetic Representation and Interpretation of Sign Language Semantics
Haizhuo He;Hongjun Chu;Rui Pan;Linting Ye;Kang Zhang;Weichu Chen;Peng Zhang;Shengchang Lan
2022 IEEE MTT-S International Wireless Symposium (IWS)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Sign language, as the main means of communication used by hearing-impaired people, is an indispensable part for them to better integrate into a harmonious society. At the same time, the all-round development of today's society urgently needs to build a bridge for the hearing impaired to communicate with the society, create a barrier-free environment, and increase the degree of socialization of the...Show More
Attention-Augmented Electromagnetic Representation of Sign Language for Human-Computer Interaction in Deaf-and-Mute Community
2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In order to provide a new interface between computers and deaf-and-dumb users, this paper proposed a method of translating sign language into a sequence of time-frequency spectrograms based on a 24 GHz 1T-2R Doppler radar sensor. By processing two pairs of the immediate frequency I/Q signals based on time-frequency analysis, a complete sign sentence can be captured and segmented according to the e...Show More
Temporal-Range-Doppler Features Interpretation and Recognition of Hand Gestures Using mmW FMCW Radar Sensors
2020 14th European Conference on Antennas and Propagation (EuCAP)
Year: 2020 | Conference Paper |
Cited by: Papers (10)
This paper introduced a comparative study of using deep neural networks in non-contact hand gesture recognition based on millimeter wave FMCW radar. Range-doppler maps are processed with a zero-filling strategy to boost the range and velocity information of gesture motions. Two optimal types of deep neural networks, 3D-CNN and CNN-LSTM are respectively constructed to reveal the temporal gesture mo...Show More
Implementation of C4.5 decision tree in Human Gesture Recognition based on Doppler radars
2019 International Symposium on Antennas and Propagation (ISAP)
Year: 2019 | Conference Paper |
In order to improve the accuracy of gesture recognition, we investigate the feasibility of using a three-dimensional Doppler-radar array at 24GHz to recognize human gestures with a model consisted of ten classical gestures. On the basis of C4.5 algorithm, phase difference and spectral energy, extracted by correlation processing and power integral, are used as the features to construct decision tre...Show More
A Modified Vivaldi Antenna with Low Self-reflectivity for Bone Health Detection
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Year: 2019 | Conference Paper |
In this paper, a modified Vivaldi antenna with low self-reflectivity working at 1-4 GHz is designed to improve the radiation gain by opening rectangular grooves and loading parasitic patches on the surface of the radiating patch. In order to support bone detection and reduce the self-reflectivity of the antenna, the influence of the loading resistance at the end of the antenna on the reflected sig...Show More
A Real-time Hand Gesture Recognition System using 24 GHz Radar Array
Guiyuan Zhang;Kang Zhang;Shengchang Lan;Yuanxun Liu;Lijia Chen
2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)
Year: 2019 | Conference Paper |
This paper presents a description of a real-time hand gesture recognition system. This system consists of three commercial modules perpendicular mounted in an three-dimensional array to provide six-channel baseband I/Q signals. The I/Q signals are pre-processed by the doppler signal amplitude threshold detection and spectral analysis. A convolutional neural network consisting in two convolutional ...Show More
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