1 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation Learning
Ali Javidani, Babak Nadjar Araabi, Mohammad Amin Sadeghi
This paper introduces a novel approach that integrates graph theory into self-supervised representation learning. Traditional methods focus on intra-instance variations generated b…
Enhancing Interpretability of Sparse Latent Representations with Class Information
Farshad Sangari Abiz, Reshad Hosseini, Babak N. Araabi
Variational Autoencoders (VAEs) are powerful generative models for learning latent representations. Standard VAEs generate dispersed and unstructured latent spaces by utilizing all…
DTFSal: Audio-Visual Dynamic Token Fusion for Video Saliency Prediction
Kiana Hooshanfar, Alireza Hosseini, Ahmad Kalhor +1
Audio-visual saliency prediction aims to mimic human visual attention by identifying salient regions in videos through the integration of both visual and auditory information. Alth…
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
Ali Javidani, Mohammad Amin Sadeghi, Babak Nadjar Araabi
Self-supervised visual representation learning traditionally focuses on image-level instance discrimination. Our study introduces an innovative, fine-grained dimension by integrati…