A Block-based Convolutional Neural Network for Low-Resolution Image Classification. - Ashkan Ganj; Mohsen Ebadpour; Mahdi Darvish; Hamid Bahador (CoRR, 2022)

Toward Scalable and Controllable AR Experimentation. - Ashkan Ganj; Yiqin Zhao; Federico Galbiati; Tian Guo 001 (ImmerCom, 2023)

Get-A-Sense: Designing Spatial Context Awareness for Mobile AR Environment Understanding. - Yiqin Zhao; Ashkan Ganj; Tian Guo 001 (CoRR, 2023)

Mobile AR Depth Estimation: Challenges & Prospects - Extended Version. - Ashkan Ganj; Yiqin Zhao; Hang Su 005; Tian Guo 001 (CoRR, 2023)

Toward Robust Depth Fusion for Mobile AR With Depth from Focus and Single-Image Priors. - Ashkan Ganj; Hang Su 005; Tian Guo 001 (ISMAR-Adjunct, 2024)

Towards In-context Environment Sensing for Mobile Augmented Reality. - Yiqin Zhao; Ashkan Ganj; Tian Guo 001 (MobiCom, 2024)

Mobile AR Depth Estimation: Challenges & Prospects. - Ashkan Ganj; Yiqin Zhao; Hang Su 005; Tian Guo 001 (HotMobile, 2024)

HybridDepth: Robust Depth Fusion for Mobile AR by Leveraging Depth from Focus and Single-Image Priors. - Ashkan Ganj; Hang Su 005; Tian Guo 001 (CoRR, 2024)

HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors. - Ashkan Ganj; Hang Su 005; Tian Guo 001 (WACV, 2025)

AR as an Evaluation Playground: Bridging Metrics and Visual Perception of Computer Vision Models. - Ashkan Ganj; Yiqin Zhao; Tian Guo 001 (CoRR, 2025)