activity
20202022
most citedNetwork-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster

27 citations · 51 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 18 cited

UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low vision

Anbang Yang, Mahya Beheshti, Todd E Hudson +5

Vision-based localization approaches now underpin newly emerging navigation pipelines for myriad use cases from robotics to assistive technologies. Compared to sensor-based solutio…

cs.CV2022★ 2 cited

Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance

Yu Hao, Haoyang Pei, Yixuan Lyu +4

Deep learning has made great strides for object detection in images. The detection accuracy and computational cost of object detection depend on the spatial resolution of an image,…

cs.CV2022★ 2 cited

Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision

Yu Hao, Junchi Feng, John-Ross Rizzo +2

People with blindness and low vision (pBLV) experience significant challenges when locating final destinations or targeting specific objects in unfamiliar environments. Furthermore…

eess.IV2021★ 27 cited

Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster

Zhongzheng Yuan, Tommy Azzino, Yu Hao +12

Advanced wearable devices are increasingly incorporating high-resolution multi-camera systems. As state-of-the-art neural networks for processing the resulting image data are compu…

cs.CV2021★ 1 cited

NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences

Diwei Sheng, Yuxiang Chai, Xinru Li +4

Visual place recognition (VPR) is critical in not only localization and mapping for autonomous driving vehicles, but also in assistive navigation for the visually impaired populati…

cs.HC2020★ 1 cited

The Transformation of Patient-Clinician Relationships With AI-Based Medical Advice: A "Bring Your Own Algorithm" Era in Healthcare

Oded Nov, Yindalon Aphinyanaphongs, Yvonne W. Lui +5

One of the dramatic trends at the intersection of computing and healthcare has been patients' increased access to medical information, ranging from self-tracked physiological data…