1 citations · 1 across the 4 of their papers we have counts for
4 papers
Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning
Kian Majlessi, Amir Masoud Soltani, Mohammad Ebrahim Mahdavi +2
Super-resolution (SR) applied to real-world low-resolution (LR) images often results in complex, irregular degradations that stem from the inherent complexity of natural scene acqu…
PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning
Melika Shirian, Kianoosh Vadaei, Kian Majlessi +4
We present PrismSSL, a Python library that unifies state-of-the-art self-supervised learning (SSL) methods across audio, vision, graphs, and cross-modal settings in a single, modul…
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds
Hadi Tabealhojeh, Soumava Kumar Roy, Peyman Adibi +1
Meta-learning problem is usually formulated as a bi-level optimization in which the task-specific and the meta-parameters are updated in the inner and outer loops of optimization,…
Multi-modal reward for visual relationships-based image captioning
Ali Abedi, Hossein Karshenas, Peyman Adibi
Deep neural networks have achieved promising results in automatic image captioning due to their effective representation learning and context-based content generation capabilities.…