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

27 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

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★ 2 cited

3D Meta-Segmentation Neural Network

Yu Hao, Yi Fang

Though deep learning methods have shown great success in 3D point cloud part segmentation, they generally rely on a large volume of labeled training data, which makes the model suf…

cs.CV2021

3D Unsupervised Region-Aware Registration Transformer

Yu Hao, Yi Fang

This paper concerns the research problem of point cloud registration to find the rigid transformation to optimally align the source point set with the target one. Learning robust p…

cs.LG2020★ 1 cited

Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks

Ruohong Zhang, Yu Hao, Donghan Yu +3

Change-point detection (CPD) aims to detect abrupt changes over time series data. Intuitively, effective CPD over multivariate time series should require explicit modeling of the d…