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attention_and_driving

A curated list of peer-reviewed papers on theoretical and practical aspects of drivers' attention used for paper "Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets" and report on "Behavioral research and practical models of drivers' attention".

cog_arch_data

Raw data for survey paper "40 years of cognitive architectures: core cognitive abilities and practical applications"

cvml_search

foveate_ogl

Implementation of foveation transform for static images in Python and OpenGL

jaad

Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset

jaad_behavior

Behavioral data for JAAD dataset

p3o3_metrics

Code for metrics used in the I. Kotseruba et al. "Do Saliency Models Detect Odd-One-Out Targets?" paper

pedestrianactionbenchmark

Code and models for the WACV 2021 paper "Benchmark for evaluating pedestrian action prediction"

pystar-fc

Python implementation of STAR-FC saccade generator

salicontf

Reimplementation of SALICON saliency model in TensorFlow

scout

Code for SCOUT (Task- and Context Modulated Attention for driving) and extended annotations for DR(eye)VE, BDD-A, and LBW datasets

smiler

The Saliency Model Implementation Library for Experimental Research.

ykotseruba.github.io

Personal webpage