2 papers
cs.CV2026
AR as an Evaluation Playground: Bridging Metrics and Visual Perception of Computer Vision Models
Ashkan Ganj, Yiqin Zhao, Tian Guo
Quantitative metrics are central to evaluating computer vision (CV) models, but they often fail to capture real-world performance due to protocol inconsistencies and ground-truth n…
cs.CV2024
HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors
Ashkan Ganj, Hang Su, Tian Guo
We propose HYBRIDDEPTH, a robust depth estimation pipeline that addresses key challenges in depth estimation,including scale ambiguity, hardware heterogeneity, and generalizability…