10 citations · 21 across the 6 of their papers we have counts for
6 papers
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
Yiyang Zhao, Yunzhuo Liu, Bo Jiang +1
This work presents a novel approach to neural architecture search (NAS) that aims to increase carbon efficiency for the model design process. The proposed framework CE-NAS addresse…
Mobile AR Depth Estimation: Challenges & Prospects -- Extended Version
Ashkan Ganj, Yiqin Zhao, Hang Su +1
Metric depth estimation plays an important role in mobile augmented reality (AR). With accurate metric depth, we can achieve more realistic user interactions such as object placeme…
Get-A-Sense: Designing Spatial Context Awareness for Mobile AR Environment Understanding
Yiqin Zhao, Ashkan Ganj, Tian Guo
Physical environment understanding is vital in delivering immersive and interactive mobile augmented reality (AR) user experiences. Recently, we have witnessed a transition in the…
Toward Scalable and Controllable AR Experimentation
Ashkan Ganj, Yiqin Zhao, Federico Galbiati +1
To understand how well a proposed augmented reality (AR) solution works, existing papers often conducted tailored and isolated evaluations for specific AR tasks, e.g., depth or lig…
LitAR: Visually Coherent Lighting for Mobile Augmented Reality
Yiqin Zhao, Chongyang Ma, Haibin Huang +1
An accurate understanding of omnidirectional environment lighting is crucial for high-quality virtual object rendering in mobile augmented reality (AR). In particular, to support r…
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality
Yiqin Zhao, Sean Fanello, Tian Guo
Lighting understanding plays an important role in virtual object composition, including mobile augmented reality (AR) applications. Prior work often targets recovering lighting fro…