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20152026
most citedPredicting Visual Attention in Graphic Design Documents

20 citations · 43 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Pathologist Attention-Aligned Report Generation for Prostate Histopathology

Ruoyu Xue, Suryakant Singh, Souradeep Chakraborty +12

The allocation of visual attention by pathologists during cancer diagnosis is a highly selective process that critically shapes the information extracted from whole-slide images (W…

cs.CV2024★ 20 cited

Predicting Visual Attention in Graphic Design Documents

Souradeep Chakraborty, Zijun Wei, Conor Kelton +4

We present a model for predicting visual attention during the free viewing of graphic design documents. While existing works on this topic have aimed at predicting static saliency…

cs.CV2024★ 1 cited

Self-supervised co-salient object detection via feature correspondence at multiple scales

Souradeep Chakraborty, Dimitris Samaras

Our paper introduces a novel two-stage self-supervised approach for detecting co-occurring salient objects (CoSOD) in image groups without requiring segmentation annotations. Unlik…

cs.CV2023

Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics

Souradeep Chakraborty, Shujon Naha, Muhammet Bastan +2

In this paper, we address the detection of co-occurring salient objects (CoSOD) in an image group using frequency statistics in an unsupervised manner, which further enable us to d…

cs.CV2015★ 10 cited

A dense subgraph based algorithm for compact salient image region detection

Souradeep Chakraborty, Pabitra Mitra

We present an algorithm for graph based saliency computation that utilizes the underlying dense subgraphs in finding visually salient regions in an image. To compute the salient re…