Yash Patel

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 59

Top Venues

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Yash Patel, Chenghao Zhu, Takafumi N. Yamaguchi, Yuan Zhe Bugh, Mao Tian, Aaron Holmes, Sorel T. Fitz-Gibbon, Paul C. Boutros
NFTest: automated testing of Nextflow pipelines. Bioinform. 40 (2) (2024)
Mrinal Kanti Dhar, Chuanbo Wang, Yash Patel, Taiyu Zhang, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Keke Chen, Zeyun Yu
Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study. CoRR (2024)
Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel, Sandeep Gopalakrishnan, Zeyun Yu
FUSegNet: A deep convolutional neural network for foot ulcer segmentation. Biomed. Signal Process. Control. 92 (2024)
Yash Patel, Arpi Beshlikyan, Madison Jordan, Gina Kim, Aaron Holmes, Takafumi N. Yamaguchi, Paul C. Boutros
PipeVal: light-weight extensible tool for file validation. Bioinform. 40 (2) (2024)
Yash Patel, Sadhana Tiwari, Sanjay Kumar Sonbhadra, Sonali Agarwal
Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. IJCNN (2023)
Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi
DocILE 2023 Teaser: Document Information Localization and Extraction. CoRR (2023)
Yash Patel, Yusheng Xie, Yi Zhu, Srikar Appalaraju, R. Manmatha
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation. CoRR (2023)
Sonam Nahar, Sagar Narsingani, Yash Patel
Cross View and Cross Walking Gait Recognition Using a Convolutional Neural Network. CVIP (1) (2023)
Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas
Overview of DocILE 2023: Document Information Localization and Extraction. CLEF (2023)
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR (2023)
Zhiwei Xue, Yuhang Li, Yash Patel, Jeffrey Regier
Diffusion Models for Probabilistic Deconvolution of Galaxy Images. CoRR (2023)
Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas
Extended Overview of DocILE 2023: Document Information Localization and Extraction. CLEF (Working Notes) (2023)
Yash Patel, Tirth Shah, Mrinal Kanti Dhar, Taiyu Zhang, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach. CoRR (2023)
Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas
DocILE Benchmark for Document Information Localization and Extraction. CoRR (2023)
Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi
DocILE 2023 Teaser: Document Information Localization and Extraction. ECIR (3) (2023)
Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel, Zeyun Yu
FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation. CoRR (2023)
Tong Wei, Yash Patel, Alexander Shekhovtsov, Jirí Matas, Daniel Barath
Generalized Differentiable RANSAC. ICCV (2023)
Hosein Barzekar, Yash Patel, Ling Tong, Zeyun Yu
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images. CoRR (2023)
Yash Patel, Declan McNamara, Jackson Loper, Jeffrey Regier, Ambuj Tewari
Variational Inference with Coverage Guarantees. CoRR (2023)
Yash Patel
Neural Network Training and Non-Differentiable Objective Functions. CoRR (2023)
Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino
Contrastive Classification and Representation Learning with Probabilistic Interpretation. AAAI (2023)
Sonam Nahar, Sagar Narsingani, Yash Patel
A Unified Convolutional Neural Network for Gait Recognition. ACPR (2) (2023)
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR (2023)
Yash Patel, Sahana Rayan, Ambuj Tewari
Conformal Contextual Robust Optimization. CoRR (2023)
Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas
DocILE Benchmark for Document Information Localization and Extraction. ICDAR (2) (2023)
Yash Patel, Giorgos Tolias, Jirí Matas
Recall@k Surrogate Loss with Large Batches and Similarity Mixup. CVPR (2022)
Tong Wei, Yash Patel, Jiri Matas, Daniel Barath
Fully Differentiable RANSAC. CoRR (2022)
D. M. Anisuzzaman, Yash Patel, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
A Mobile App for Wound Localization Using Deep Learning. IEEE Access 10 (2022)
Rahaf Aljundi, Yash Patel, Milan Sulc, Daniel Olmeda Reino, Nikolay Chumerin
Contrastive Classification and Representation Learning with Probabilistic Interpretation. CoRR (2022)
D. M. Anisuzzaman, Yash Patel, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
Wound Severity Classification using Deep Neural Network. CoRR (2022)
Yash Patel, Parag H. Rughani, Dhruvil Desai
Analyzing Security Vulnerability and Forensic Investigation of ROS2: A Case Study. ICRAI (2022)
Yash Patel, Srikar Appalaraju, R. Manmatha
Saliency Driven Perceptual Image Compression. WACV (2021)
Yash Patel, Jiri Matas
FEDS - Filtered Edit Distance Surrogate. CoRR (2021)
Slobodan Djukanovic, Yash Patel, Jirí Matas, Tuomas Virtanen
Neural network-based acoustic vehicle counting. EUSIPCO (2021)
Yash Patel, Bharat S. Rawal, Yunkai Liu, Md Tajmilur Rahman
Security and Privacy Challenges in 5G-enabled Technology. CSCloud/EdgeCom (2021)
D. M. Anisuzzaman, Yash Patel, Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network. CoRR (2021)
Yash Patel, Jiri Matas
FEDS - Filtered Edit Distance Surrogate. ICDAR (4) (2021)
Yash Patel, Giorgos Tolias, Jiri Matas
Recall@k Surrogate Loss with Large Batches and Similarity Mixup. CoRR (2021)
Yash Patel, Tomás Hodan, Jiri Matas
Learning Surrogates via Deep Embedding. ECCV (30) (2020)
Yash Patel, Tomas Hodan, Jiri Matas
Learning Surrogates via Deep Embedding. CoRR (2020)
Meet Parekh, Yash Patel
Labeling News Article's Subject Using Uncertainty Based Active Learning. SmartCity360° (2020)
Yash Patel, Jean Shin, Mark Drakesmith, C. John Evans, Zdenka Pausova, Tomás Paus
Virtual histology of multi-modal magnetic resonance imaging of cerebral cortex in young men. NeuroImage 218 (2020)
Slobodan Djukanovic, Yash Patel, Jiri Matas, Tuomas Virtanen
Neural Network-based Acoustic Vehicle Counting. CoRR (2020)
D. M. Anisuzzaman, Yash Patel, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
A Mobile App for Wound Localization using Deep Learning. CoRR (2020)
Yash Patel, Srikar Appalaraju, R. Manmatha
Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss. CoRR (2020)
Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. CoRR (2019)
Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar
Self-Supervised Visual Representations for Cross-Modal Retrieval. CoRR (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
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. ICDAR (2019)
Yash Patel, Srikar Appalaraju, R. Manmatha
Deep Perceptual Compression. CoRR (2019)
Yash Patel, Srikar Appalaraju, R. Manmatha
Human Perceptual Evaluations for Image Compression. CoRR (2019)
Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar
Self-Supervised Visual Representations for Cross-Modal Retrieval. ICMR (2019)
Yash Patel, Michal Busta, Jiri Matas
E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text. CoRR (2018)
Yash Patel, Kashyap Chitta, Bhavan Jasani
Learning Sampling Policies for Domain Adaptation. CoRR (2018)
Michal Busta, Yash Patel, Jiri Matas
E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text. ACCV Workshops (2018)
Yash Patel, Lluís Gómez i Bigorda, Raul Gomez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces. CoRR (2018)
Lluis Gomez-Bigorda, Yash Patel, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar
Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces. CVPR (2017)
Lluís Gómez i Bigorda, Yash Patel, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar
Self-supervised learning of visual features through embedding images into text topic spaces. CoRR (2017)
Anurag Ghosh, Yash Patel, Mohak Sukhwani, C. V. Jawahar
Dynamic Narratives for Heritage Tour. ECCV Workshops (1) (2016)
Yash Patel, Lluís Gómez i Bigorda, Marçal Rusiñol, Dimosthenis Karatzas
Dynamic Lexicon Generation for Natural Scene Images. ECCV Workshops (1) (2016)
Yash Patel, John Darlington
Novel Stochastic Profitable Techniques For Brokers In A Web-Service Based Grid Market. Web Intelligence (2007)
Yash Patel, John Darlington
A novel approach to allocating QoS-constrained workflow-based jobs in a multi-cluster grid. MGC@Middleware (2006)
Yash Patel, Andrew Stephen McGough, John Darlington
QoS Support For Workflows In A Volatile Grid. GRID (2006)
Yash Patel, John Darlington
A Novel Stochastic Algorithm for Scheduling QoS-Constrained Workflows in a Web Service-Oriented Grid. IAT Workshops (2006)
Yash Patel, John Darlington
Average-Based Workload Allocation Strategy for QoS-Constrained Jobs In A Web Service-Oriented Grid. EDOC Workshops (2006)
Yash Patel, John Darlington
A Novel Approach to Workload Allocation of QoS-Constrained Workflow-Based Jobs in a Utility Grid. e-Science (2006)
Yash Patel, John Darlington
Allocating QoS-Constrained Workflow-Based Jobs in a Multi-cluster Grid Through Queueing Theory Approach. ISPA (2006)
Yash Patel, John Darlington
Allocating QOS-Constrained Applications in a Web Service-Oriented Grid. ICDCIT (2006)
Yash Patel, Andrew Stephen McGough, John Darlington
A Profitable Broker in a Volatile Utility Grid. Int. Trans. Syst. Sci. Appl. 2 (2) (2006)
Andrew Stephen McGough, Jeremy Cohen, John Darlington, Eleftheria Katsiri, William Lee, Sofia Panagiotidi, Yash Patel
An End-to-end Workflow Pipeline for Large-scale Grid Computing. J. Grid Comput. 3 (3-4) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yash Patel