55 citations · 65 across the 5 of their papers we have counts for
5 papers
TraceNet: Segment one thing efficiently
Mingyuan Wu, Zichuan Liu, Haozhen Zheng +4
Efficient single instance segmentation is essential for unlocking features in the mobile imaging applications, such as capture or editing. Existing on-the-fly mobile imaging applic…
FedCore: Straggler-Free Federated Learning with Distributed Coresets
Hongpeng Guo, Haotian Gu, Xiaoyang Wang +5
Federated learning (FL) is a machine learning paradigm that allows multiple clients to collaboratively train a shared model while keeping their data on-premise. However, the stragg…
DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics
Hongpeng Guo, Beitong Tian, Zhe Yang +5
Deep learning video analytic systems process live video feeds from multiple cameras with computer vision models deployed on edge or cloud. To optimize utility for these systems, wh…
CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale
Hongpeng Guo, Shuochao Yao, Zhe Yang +2
Video cameras are pervasively deployed in city scale for public good or community safety (i.e. traffic monitoring or suspected person tracking). However, analyzing large scale vide…
DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge
Zhe Yang, Klara Nahrstedt, Hongpeng Guo +1
The ubiquity of smartphone cameras and IoT cameras, together with the recent boom of deep learning and deep neural networks, proliferate various computer vision driven mobile and I…