most citedA Probabilistic Hard Attention Model For Sequentially Observed Scenes

2 citations · 5 across the 5 of their papers we have counts for

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5 papers

cs.CV2022★ 1 cited

Predicting Visual Attention and Distraction During Visual Search Using Convolutional Neural Networks

Manoosh Samiei, James J. Clark

Most studies in computational modeling of visual attention encompass task-free observation of images. Free-viewing saliency considers limited scenarios of daily life. Most visual a…

cs.CV2022★ 1 cited

Target Features Affect Visual Search, A Study of Eye Fixations

Manoosh Samiei, James J. Clark

Visual Search is referred to the task of finding a target object among a set of distracting objects in a visual display. In this paper, based on an independent analysis of the COCO…

cs.CV2022

GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction

Samrudhdhi B Rangrej, Kevin J Liang, Tal Hassner +1

Many online action prediction models observe complete frames to locate and attend to informative subregions in the frames called glimpses and recognize an ongoing action based on g…

cs.CV2021★ 2 cited

A Probabilistic Hard Attention Model For Sequentially Observed Scenes

Samrudhdhi B. Rangrej, James J. Clark

A visual hard attention model actively selects and observes a sequence of subregions in an image to make a prediction. The majority of hard attention models determine the attention…

cs.CV2021★ 1 cited

Visual Attention in Imaginative Agents

Samrudhdhi B. Rangrej, James J. Clark

We present a recurrent agent who perceives surroundings through a series of discrete fixations. At each timestep, the agent imagines a variety of plausible scenes consistent with t…