Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

Deep learning model for supervised video summarization called Multi Source Visual Attention (MSVA)

[WACV2025] SUM: Saliency Unification through Mamba for Visual Attention Modeling

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

Chainer implementation of Deepmind's Visual Attention Model paper

STRAL-Net

Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'

COMIC: This is the code repo of our TMM2019 work titled "COMIC: Towards a Compact Image Captioning Model with Attention".

Visual Attentive GAN Project

Implementation of a Multimodal Neural Network for Image Captioning in Tensorflow.

Official Code for 'Exploring Language Prior for Mode-Sensitive Visual Attention Modeling' (ACM MM 2020)

Visual Attention : what is salient in an image with DeepRare2019

Implemenetation of 2016 paper "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention" on Flick30k dataset.

Tools for the paper of IEEE Journal on Emerging and Selected Topics in Circuits and Systems: Visual Attention-Aware Omnidirectional Video Streaming Using Optimal Tiles for Virtual Reality

A project aimed at analysing experimental human eye data to better understand the spatiotemporal dynamics of covert attention.

A model of mixed neural networks for step-by-step processing of dynamic visual scenes, activity recognition and behavioral prediciton

Image captioning with Visual Attention