activity
20192023
most citedNeuromorphic High-Frequency 3D Dancing Pose Estimation in Dynamic Environment

20 citations · 38 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 20 cited

Neuromorphic High-Frequency 3D Dancing Pose Estimation in Dynamic Environment

Zhongyang Zhang, Kaidong Chai, Haowen Yu +7

As a beloved sport worldwide, dancing is getting integrated into traditional and virtual reality-based gaming platforms nowadays. It opens up new opportunities in the technology-me…

eess.SP2022★ 1 cited

Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings

Md Farhan Tasnim Oshim, Toral Surti, Stephanie Carreiro +3

Efficient and accurate detection of subtle motion generated from small objects in noisy environments, as needed for vital sign monitoring, is challenging, but can be substantially…

cs.RO2022★ 13 cited

Calico: Relocatable On-cloth Wearables with Fast, Reliable, and Precise Locomotion

Anup Sathya, Jiasheng Li, Tauhidur Rahman +2

We explore Calico, a miniature relocatable wearable system with fast and precise locomotion for on-body interaction, actuation and sensing. Calico consists of a two-wheel robot and…

cs.RO2021

Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision

Md Mahmudur Rahman, Tauhidur Rahman, Donghyun Kim +1

Enabling mobile robots for solving challenging and diverse shape, texture, and motion related tasks with high fidelity vision requires the integration of novel multimodal imaging s…

cs.CV2021

Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings

Zhongyang Zhang, Zhiyang Xu, Zia Ahmed +2

Hyperspectral image (HSI) with narrow spectral bands can capture rich spectral information, but it sacrifices its spatial resolution in the process. Many machine-learning-based HSI…

cs.LG2019★ 4 cited

Personalized Student Stress Prediction with Deep Multitask Network

Abhinav Shaw, Natcha Simsiri, Iman Deznaby +2

With the growing popularity of wearable devices, the ability to utilize physiological data collected from these devices to predict the wearer's mental state such as mood and stress…

cs.CV2019

Pedestrian Detection in Thermal Images using Saliency Maps

Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya +3

Thermal images are mainly used to detect the presence of people at night or in bad lighting conditions, but perform poorly at daytime. To solve this problem, most state-of-the-art…