1 citations · 1 across the 6 of their papers we have counts for
7 papers
Learning Online Policies for Person Tracking in Multi-View Environments
Keivan Nalaie, Rong Zheng
In this paper, we introduce MVSparse, a novel and efficient framework for cooperative multi-person tracking across multiple synchronized cameras. The MVSparse system is comprised o…
VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild
Yujiao Hao, Boyu Wang, Rong Zheng
Deep neural network models for IMU sensor-based human activity recognition (HAR) that are trained from controlled, well-curated datasets suffer from poor generalizability in practi…
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Renjie Xu, Saiedeh Razavi, Rong Zheng
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society. Governments and enterprises are deploying innumerable camer…
AttTrack: Online Deep Attention Transfer for Multi-object Tracking
Keivan Nalaie, Rong Zheng
Multi-object tracking (MOT) is a vital component of intelligent video analytics applications such as surveillance and autonomous driving. The time and storage complexity required t…
Individualizing Head-Related Transfer Functions for Binaural Acoustic Applications
Navid H. Zandi, Awny M. El-Mohandes, Rong Zheng
A Head Related Transfer Function (HRTF) characterizes how a human ear receives sounds from a point in space, and depends on the shapes of one's head, pinna, and torso. Accurate est…
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator
Yujiao Hao, Boyu Wang, Rong Zheng
With the prevalence of wearable devices, inertial measurement unit (IMU) data has been utilized in monitoring and assessment of human mobility such as human activity recognition (H…
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers
Keivan Nalaie, Renjie Xu, Rong Zheng
In surveillance and search and rescue applications, it is important to perform multi-target tracking (MOT) in real-time on low-end devices. Today's MOT solutions employ deep neural…