76 citations · 245 across the 28 of their papers we have counts for
9 papers · 1 filter
Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach
Yash Patel, Tirth Shah, Mrinal Kanti Dhar +4
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments.…
Diffusion Models for Probabilistic Deconvolution of Galaxy Images
Zhiwei Xue, Yuhang Li, Yash Patel +1
Telescopes capture images with a particular point spread function (PSF). Inferring what an image would have looked like with a much sharper PSF, a problem known as PSF deconvolutio…
Neural Network Training and Non-Differentiable Objective Functions
Yash Patel
Many important computer vision tasks are naturally formulated to have a non-differentiable objective. Therefore, the standard, dominant training procedure of a neural network is no…
FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation
Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel +2
This paper presents FUSegNet, a new model for foot ulcer segmentation in diabetes patients, which uses the pre-trained EfficientNet-b7 as a backbone to address the issue of limited…
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation
Yash Patel, Yusheng Xie, Yi Zhu +2
Learning to segment images purely by relying on the image-text alignment from web data can lead to sub-optimal performance due to noise in the data. The noise comes from the sample…
DocILE Benchmark for Document Information Localization and Extraction
Štěpán Šimsa, Milan Šulc, Michal Uřičář +8
This paper introduces the DocILE benchmark with the largest dataset of business documents for the tasks of Key Information Localization and Extraction and Line Item Recognition. It…
DocILE 2023 Teaser: Document Information Localization and Extraction
Štěpán Šimsa, Milan Šulc, Matyáš Skalický +2
The lack of data for information extraction (IE) from semi-structured business documents is a real problem for the IE community. Publications relying on large-scale datasets use on…
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images
Hosein Barzekar, Yash Patel, Ling Tong +1
Cancer is a leading cause of death in many countries. An early diagnosis of cancer based on biomedical imaging ensures effective treatment and a better prognosis. However, biomedic…
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian +6
Vision-language models trained with contrastive learning on large-scale noisy data are becoming increasingly popular for zero-shot recognition problems. In this paper we improve th…