no code implementations • 11 Aug 2024 • Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang
By using coarse-to-fine watermark embedding modules, LaWa modifies the latent space of pre-trained autoencoders and achieves high robustness against a wide range of image transformations while preserving perceptual quality of the image.
no code implementations • 15 Mar 2023 • Ahmad Rezaei, Mahdi Taheri, Ali Mahani, Sebastian Magierowski
In this paper, we discuss several shortcomings of prior base callers in the case of time-critical applications, privacy-aware design, and the problem of catastrophic forgetting.
no code implementations • 14 May 2021 • Mohsen Gholami, Ahmad Rezaei, Helge Rhodin, Rabab Ward, Z. Jane Wang
Estimating 3D human poses from video is a challenging problem.
Ranked #13 on Weakly-supervised 3D Human Pose Estimation on Human3.6M