Indepth: Real-time depth inpainting for mobile augmented reality

Y Zhang, T Scargill, A Vaishnav… - Proceedings of the …, 2022 - dl.acm.org
Mobile Augmented Reality (AR) demands realistic rendering of virtual content that
seamlessly blends into the physical environment. For this reason, AR headsets and recent …

Sear: Scaling experiences in multi-user augmented reality

W Zhang, B Han, P Hui - IEEE Transactions on Visualization …, 2022 - ieeexplore.ieee.org
In this paper, we present the design, implementation, and evaluation of SEAR, a
collaborative framework for Scaling Experiences in multi-user Augmented Reality (AR). Most …

Multi-user augmented reality with communication efficient and spatially consistent virtual objects

X Ran, C Slocum, YZ Tsai, K Apicharttrisorn… - Proceedings of the 16th …, 2020 - dl.acm.org
Multi-user augmented reality (AR), where multiple co-located users view a common set of
virtual objects, is becoming increasingly popular. For example, Google Just a Line allows …

Eyesyn: Psychology-inspired eye movement synthesis for gaze-based activity recognition

G Lan, T Scargill, M Gorlatova - 2022 21st ACM/IEEE …, 2022 - ieeexplore.ieee.org
Recent advances in eye tracking have given birth to a new genre of gaze-based context
sensing applications, ranging from cognitive load estimation to emotion recognition. To …

LITAR: Visually coherent lighting for mobile augmented reality

Y Zhao, C Ma, H Huang, T Guo - Proceedings of the ACM on Interactive …, 2022 - dl.acm.org
An accurate understanding of omnidirectional environment lighting is crucial for high-quality
virtual object rendering in mobile augmented reality (AR). In particular, to support reflective …

Artificial intelligence of things: A survey

SI Siam, H Ahn, L Liu, S Alam, H Shen, Z Cao… - ACM Transactions on …, 2024 - dl.acm.org
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …

DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference

Z Zhang, Y Zhao, H Li, C Lin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to limited resources on edge and different characteristics of deep neural network (DNN)
models, it is a big challenge to optimize DNN inference performance in terms of energy …

On the impact of deep neural network calibration on adaptive edge offloading for image classification

RG Pacheco, RS Couto, O Simeone - Journal of Network and Computer …, 2023 - Elsevier
Edge devices can offload deep neural network (DNN) inference to the cloud to overcome
energy or processing constraints. Nevertheless, offloading adds communication delay …

Role-based user allocation driven by criticality in edge computing

E Liu, L Zheng, Q He, P Lai, B Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge computing is a promising solution to enabling highly accessible resources and latency-
sensitive services for nearby users. In public safety, it can provide critical support for urban …

Xihe: a 3D vision-based lighting estimation framework for mobile augmented reality

Y Zhao, T Guo - Proceedings of the 19th Annual International …, 2021 - dl.acm.org
Omnidirectional lighting provides the foundation for achieving spatially-variant photorealistic
3D rendering, a desirable property for mobile augmented reality applications. However, in …