[TPAMI] Automatic Gaze Analysis ‘in-the-wild’: A Survey
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Updated
May 29, 2024
[TPAMI] Automatic Gaze Analysis ‘in-the-wild’: A Survey
Deep learning model for supervised video summarization called Multi Source Visual Attention (MSVA)
Official Implementation for NeurIPS 2023 Paper "What Do Deep Saliency Models Learn about Visual Attention"
The analysis pipeline for our paper 'Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex'.
We present SCENE-pathy, a dataset and a set of baselines to study the visual selective attention (VSA) of people towards the 3D scene in which they are located
This repository contains homework assignments and projects completed for the course "Advanced Topics in Neuroscience" instructed by Dr. Ali Ghazizadeh at Sharif University of Technology.
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral)
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
A public version of my TvL experiment for my 2021 RSI project. https://link.springer.com/article/10.3758/s13414-022-02503-5
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
Official Code for 'Exploring Language Prior for Mode-Sensitive Visual Attention Modeling' (ACM MM 2020)
Image captioning of Flickr 8k dataset using Attention and Merge model
Deep Neural Network Image Captioner using visual Attention
Visual Attentive GAN Project
The scope of this research is to determine if there is any correlation between the level of experience of surgeons and their visual attention while performing surgeries.
COMIC: This is the code repo of our TMM2019 work titled "COMIC: Towards a Compact Image Captioning Model with Attention".
Image captioning with Visual Attention
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