3 papers
cs.LG2026
An Empirical Benchmark of Deep Time-Series Models for Smart Meter Energy Forecasting
Behnaz Kavoosighafi, Maria Eidenskog, Wiktoria Glad +1
Accurate forecasting of energy consumption is important for the efficient operation of power systems, with direct implications for operational costs, energy management, and system…
cs.GR2025
FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition
Ehsan Miandji, Tanaboon Tongbuasirilai, Saghi Hajisharif +2
Efficient and accurate BRDF acquisition of real world materials is a challenging research problem that requires sampling millions of incident light and viewing directions. To accel…
cs.CV2025
A Neural Quality Metric for BRDF Models
Behnaz Kavoosighafi, Rafal K. Mantiuk, Saghi Hajisharif +2
Accurately evaluating the quality of bidirectional reflectance distribution function (BRDF) models is essential for photo-realistic rendering. Traditional BRDF-space metrics often…