Yash Patel

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

NFTest: automated testing of Nextflow pipelines.

Yash Patel, Chenghao Zhu, Takafumi N. Yamaguchi, Yuan Zhe Bugh, Mao Tian, Aaron Holmes, Sorel T. Fitz-Gibbon, Paul C. Boutros

Bioinform., February, 2024

PipeVal: light-weight extensible tool for file validation.

Yash Patel, Arpi Beshlikyan, Madison Jordan, Gina Kim, Aaron Holmes, Takafumi N. Yamaguchi, Paul C. Boutros

Bioinform., February, 2024

2023

Conformal Contextual Robust Optimization.

Yash Patel, Sahana Rayan, Ambuj Tewari

CoRR, 2023

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

Yash Patel, Tirth Shah, Mrinal Kanti Dhar, Taiyu Zhang, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu

CoRR, 2023

Diffusion Models for Probabilistic Deconvolution of Galaxy Images.

Zhiwei Xue, Yuhang Li, Yash Patel, Jeffrey Regier

CoRR, 2023

Variational Inference with Coverage Guarantees.

Yash Patel, Declan McNamara, Jackson Loper, Jeffrey Regier, Ambuj Tewari

CoRR, 2023

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

Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel, Zeyun Yu

CoRR, 2023

Neural Network Training and Non-Differentiable Objective Functions.

Yash Patel

CoRR, 2023

SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation.

Yash Patel, Yusheng Xie, Yi Zhu, Srikar Appalaraju, R. Manmatha

CoRR, 2023

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

Hosein Barzekar, Yash Patel, Ling Tong, Zeyun Yu

CoRR, 2023

Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach.

Yash Patel, Sadhana Tiwari, Sanjay Kumar Sonbhadra, Sonali Agarwal

Proceedings of the International Joint Conference on Neural Networks, 2023

DocILE Benchmark for Document Information Localization and Extraction.

Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Generalized Differentiable RANSAC.

Tong Wei, Yash Patel, Alexander Shekhovtsov, Jirí Matas, Daniel Barath

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DocILE 2023 Teaser: Document Information Localization and Extraction.

Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi

Proceedings of the Advances in Information Retrieval, 2023

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training.

Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Extended Overview of DocILE 2023: Document Information Localization and Extraction.

Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

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.

Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

A Unified Convolutional Neural Network for Gait Recognition.

Sonam Nahar, Sagar Narsingani, Yash Patel

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

Contrastive Classification and Representation Learning with Probabilistic Interpretation.

Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Fully Differentiable RANSAC.

Tong Wei, Yash Patel, Jiri Matas, Daniel Barath

CoRR, 2022

Wound Severity Classification using Deep Neural Network.

D. M. Anisuzzaman, Yash Patel, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu

CoRR, 2022

A Mobile App for Wound Localization Using Deep Learning.

D. M. Anisuzzaman, Yash Patel, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu

IEEE Access, 2022

Analyzing Security Vulnerability and Forensic Investigation of ROS2: A Case Study.

Yash Patel, Parag H. Rughani, Dhruvil Desai

Proceedings of the 8th International Conference on Robotics and Artificial Intelligence, 2022

Recall@k Surrogate Loss with Large Batches and Similarity Mixup.

Yash Patel, Giorgos Tolias, Jirí Matas

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.

D. M. Anisuzzaman, Yash Patel, Behrouz Rostami, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu

CoRR, 2021

Saliency Driven Perceptual Image Compression.

Yash Patel, Srikar Appalaraju, R. Manmatha

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

FEDS - Filtered Edit Distance Surrogate.

Yash Patel, Jiri Matas

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Neural network-based acoustic vehicle counting.

Slobodan Djukanovic, Yash Patel, Jirí Matas, Tuomas Virtanen

Proceedings of the 29th European Signal Processing Conference, 2021

Security and Privacy Challenges in 5G-enabled Technology.

Yash Patel, Bharat S. Rawal, Yunkai Liu, Md Tajmilur Rahman

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.

Yash Patel, Jean Shin, Mark Drakesmith, C. John Evans, Zdenka Pausova, Tomás Paus

NeuroImage, 2020

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

Yash Patel, Srikar Appalaraju, R. Manmatha

CoRR, 2020

Labeling News Article's Subject Using Uncertainty Based Active Learning.

Meet Parekh, Yash Patel

Proceedings of the Science and Technologies for Smart Cities, 2020

Learning Surrogates via Deep Embedding.

Yash Patel, Tomás Hodan, Jiri Matas

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Human Perceptual Evaluations for Image Compression.

Yash Patel, Srikar Appalaraju, R. Manmatha

CoRR, 2019

Deep Perceptual Compression.

Yash Patel, Srikar Appalaraju, R. Manmatha

CoRR, 2019

Self-Supervised Visual Representations for Cross-Modal Retrieval.

Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar

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.

Nibal Nayef, Cheng-Lin Liu, Jean-Marc Ogier, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie

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.

Yash Patel, Lluís Gómez i Bigorda, Raul Gomez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar

CoRR, 2018

Learning Sampling Policies for Domain Adaptation.

Yash Patel, Kashyap Chitta, Bhavan Jasani

CoRR, 2018

E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text.

Michal Busta, Yash Patel, Jiri Matas

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces.

Lluis Gomez-Bigorda, Yash Patel, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Dynamic Lexicon Generation for Natural Scene Images.

Yash Patel, Lluís Gómez i Bigorda, Marçal Rusiñol, Dimosthenis Karatzas

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Dynamic Narratives for Heritage Tour.

Anurag Ghosh, Yash Patel, Mohak Sukhwani, C. V. Jawahar

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2007

Stochastic scheduling and workload allocation : QoS support and profitable brokering in computing grids.

Yash Patel

PhD thesis, 2007

Novel Stochastic Profitable Techniques For Brokers In A Web-Service Based Grid Market.

Yash Patel, John Darlington

Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

2006

A Profitable Broker in a Volatile Utility Grid.

Yash Patel, Andrew Stephen McGough, John Darlington

Int. Trans. Syst. Sci. Appl., 2006

A novel approach to allocating QoS-constrained workflow-based jobs in a multi-cluster grid.

Yash Patel, John Darlington

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.

Yash Patel, John Darlington

Proceedings of the Parallel and Distributed Processing and Applications, 2006

Allocating QOS-Constrained Applications in a Web Service-Oriented Grid.

Yash Patel, John Darlington

Proceedings of the Distributed Computing and Internet Technology, 2006

A Novel Stochastic Algorithm for Scheduling QoS-Constrained Workflows in a Web Service-Oriented Grid.

Yash Patel, John Darlington

Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

QoS Support For Workflows In A Volatile Grid.

Yash Patel, Andrew Stephen McGough, John Darlington

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.

Yash Patel, John Darlington

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.

Yash Patel, John Darlington

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.

Andrew Stephen McGough, Jeremy Cohen, John Darlington, Eleftheria Katsiri, William Lee, Sofia Panagiotidi, Yash Patel

J. Grid Comput., 2005