no code implementations • 1 Dec 2023 • Seyedalireza Khoshsirat, Chandra Kambhamettu
In this paper, first, we establish that normalization layers in deep learning use inadmissible estimators for mean and variance.
no code implementations • ICCV 2023 • Seyedalireza Khoshsirat, Chandra Kambhamettu
We visually demonstrate how this block filters out irrelevant feature-maps channels based on sentence embedding.
no code implementations • 14 Sep 2023 • Seyedalireza Khoshsirat, Chandra Kambhamettu
Our findings reveal that both Live Photos and Motion Photos outperform single-frame images in common visual assisting tasks, specifically in object classification and VideoQA.
no code implementations • 18 Sep 2022 • Seyedalireza Khoshsirat, Chandra Kambhamettu
The idea of neural Ordinary Differential Equations (ODE) is to approximate the derivative of a function (data model) instead of the function itself.