activity
20172026
most citedHybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification

1.9k citations · 3.2k across the 26 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Content

Wentao Wang, Xuanyao Huang, Tianyang Wang +1

This paper explores the image synthesis capabilities of GPT-4, a leading multi-modal large language model. We establish a benchmark for evaluating the fidelity of texture features…

cs.CV2023

A Layer-Wise Tokens-to-Token Transformer Network for Improved Historical Document Image Enhancement

Risab Biswas, Swalpa Kumar Roy, Umapada Pal

Document image enhancement is a fundamental and important stage for attaining the best performance in any document analysis assignment because there are many degradation situations…

cs.CV2023

DocBinFormer: A Two-Level Transformer Network for Effective Document Image Binarization

Risab Biswas, Swalpa Kumar Roy, Ning Wang +2

In real life, various degradation scenarios exist that might damage document images, making it harder to recognize and analyze them, thus binarization is a fundamental and crucial…

cs.CV2023★ 16 cited

Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping

Ali Jamali, Swalpa Kumar Roy, Danfeng Hong +2

Convolutional Neural Networks (CNNs) are models that are utilized extensively for the hierarchical extraction of features. Vision transformers (ViTs), through the use of a self-att…

cs.CV2023

Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction

Ali Jamali, Swalpa Kumar Roy, Jonathan Li +1

In the domain of remote sensing image interpretation, road extraction from high-resolution aerial imagery has already been a hot research topic. Although deep CNNs have presented e…