Yash Patel

Orcid: 0000-0001-9373-529X

According to our database1, Yash Patel authored at least 54 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
NFTest: automated testing of Nextflow pipelines.
Bioinform., February, 2024

PipeVal: light-weight extensible tool for file validation.
Bioinform., February, 2024

Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study.
CoRR, 2024

FUSegNet: A deep convolutional neural network for foot ulcer segmentation.
Biomed. Signal Process. Control., 2024

2023
Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach.
CoRR, 2023

FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation.
CoRR, 2023

Neural Network Training and Non-Differentiable Objective Functions.
CoRR, 2023

SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation.
CoRR, 2023

MultiNet with Transformers: A Model for Cancer Diagnosis Using Images.
CoRR, 2023

Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach.
Proceedings of the International Joint Conference on Neural Networks, 2023

DocILE Benchmark for Document Information Localization and Extraction.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Generalized Differentiable RANSAC.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DocILE 2023 Teaser: Document Information Localization and Extraction.
Proceedings of the Advances in Information Retrieval, 2023

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cross View and Cross Walking Gait Recognition Using a Convolutional Neural Network.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

Extended Overview of DocILE 2023: Document Information Localization and Extraction.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of DocILE 2023: Document Information Localization and Extraction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

A Unified Convolutional Neural Network for Gait Recognition.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

Contrastive Classification and Representation Learning with Probabilistic Interpretation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Fully Differentiable RANSAC.
CoRR, 2022

Wound Severity Classification using Deep Neural Network.
CoRR, 2022

A Mobile App for Wound Localization Using Deep Learning.
IEEE Access, 2022

Analyzing Security Vulnerability and Forensic Investigation of ROS2: A Case Study.
Proceedings of the 8th International Conference on Robotics and Artificial Intelligence, 2022

Recall@k Surrogate Loss with Large Batches and Similarity Mixup.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network.
CoRR, 2021

Saliency Driven Perceptual Image Compression.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

FEDS - Filtered Edit Distance Surrogate.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Neural network-based acoustic vehicle counting.
Proceedings of the 29th European Signal Processing Conference, 2021

Security and Privacy Challenges in 5G-enabled Technology.
Proceedings of the 8th IEEE International Conference on Cyber Security and Cloud Computing, 2021

2020
Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men.
NeuroImage, 2020

Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss.
CoRR, 2020

Labeling News Article's Subject Using Uncertainty Based Active Learning.
Proceedings of the Science and Technologies for Smart Cities, 2020

Learning Surrogates via Deep Embedding.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Human Perceptual Evaluations for Image Compression.
CoRR, 2019

Deep Perceptual Compression.
CoRR, 2019

Self-Supervised Visual Representations for Cross-Modal Retrieval.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces.
CoRR, 2018

Learning Sampling Policies for Domain Adaptation.
CoRR, 2018

E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017
Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Dynamic Lexicon Generation for Natural Scene Images.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Dynamic Narratives for Heritage Tour.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2007
Stochastic scheduling and workload allocation : QoS support and profitable brokering in computing grids.
PhD thesis, 2007

Novel Stochastic Profitable Techniques For Brokers In A Web-Service Based Grid Market.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

2006
A Profitable Broker in a Volatile Utility Grid.
Int. Trans. Syst. Sci. Appl., 2006

A novel approach to allocating QoS-constrained workflow-based jobs in a multi-cluster grid.
Proceedings of the 4th international workshop on Middleware for grid computing, 2006

Allocating QoS-Constrained Workflow-Based Jobs in a Multi-cluster Grid Through Queueing Theory Approach.
Proceedings of the Parallel and Distributed Processing and Applications, 2006

Allocating QOS-Constrained Applications in a Web Service-Oriented Grid.
Proceedings of the Distributed Computing and Internet Technology, 2006

A Novel Stochastic Algorithm for Scheduling QoS-Constrained Workflows in a Web Service-Oriented Grid.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

QoS Support For Workflows In A Volatile Grid.
Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006

Average-Based Workload Allocation Strategy for QoS-Constrained Jobs In A Web Service-Oriented Grid.
Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006

A Novel Approach to Workload Allocation of QoS-Constrained Workflow-Based Jobs in a Utility Grid.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

2005
An End-to-end Workflow Pipeline for Large-scale Grid Computing.
J. Grid Comput., 2005


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