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ORCIDYash Patel
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j7]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)- [j6]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) - [j5]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: 106057 (2024) - [i27]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 abs/2406.16012 (2024) - 2023
- [c32]Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino:
Contrastive Classification and Representation Learning with Probabilistic Interpretation. AAAI 2023: 6675-6683 - [c31]Sonam Nahar, Sagar Narsingani, Yash Patel:
A Unified Convolutional Neural Network for Gait Recognition. ACPR (2) 2023: 230-242 - [c30]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: 276-293 - [c29]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: 546-571 - [c28]Sonam Nahar, Sagar Narsingani, Yash Patel:
Cross View and Cross Walking Gait Recognition Using a Convolutional Neural Network. CVIP (1) 2023: 112-123 - [c27]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: 6967-6977 - [c26]Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi:
DocILE 2023 Teaser: Document Information Localization and Extraction. ECIR (3) 2023: 600-608 - [c25]Tong Wei, Yash Patel, Alexander Shekhovtsov, Jirí Matas, Daniel Barath:
Generalized Differentiable RANSAC. ICCV 2023: 17603-17614 - [c24]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: 147-166 - [c23]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: 1-7 - [i26]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 abs/2301.02280 (2023) - [i25]Hosein Barzekar, Yash Patel, Ling Tong, Zeyun Yu:
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images. CoRR abs/2301.09007 (2023) - [i24]Stepán Simsa, Milan Sulc, Matyás Skalický, Yash Patel, Ahmed Hamdi:
DocILE 2023 Teaser: Document Information Localization and Extraction. CoRR abs/2301.12394 (2023) - [i23]Yash Patel, Yusheng Xie, Yi Zhu, Srikar Appalaraju, R. Manmatha:
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation. CoRR abs/2302.03432 (2023) - [i22]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 abs/2302.05658 (2023) - [i21]Yash Patel:
Neural Network Training and Non-Differentiable Objective Functions. CoRR abs/2305.02024 (2023) - [i20]Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel, Zeyun Yu:
FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation. CoRR abs/2305.02961 (2023) - [i19]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 abs/2308.11877 (2023) - 2022
- [j4]D. M. Anisuzzaman, Yash Patel, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu:
A Mobile App for Wound Localization Using Deep Learning. IEEE Access 10: 61398-61409 (2022) - [c22]Yash Patel, Giorgos Tolias, Jirí Matas:
Recall@k Surrogate Loss with Large Batches and Similarity Mixup. CVPR 2022: 7492-7501 - [c21]Yash Patel, Parag H. Rughani, Dhruvil Desai:
Analyzing Security Vulnerability and Forensic Investigation of ROS2: A Case Study. ICRAI 2022: 6-12 - [i18]D. M. Anisuzzaman, Yash Patel, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu:
Wound Severity Classification using Deep Neural Network. CoRR abs/2204.07942 (2022) - [i17]Rahaf Aljundi, Yash Patel, Milan Sulc, Daniel Olmeda Reino, Nikolay Chumerin:
Contrastive Classification and Representation Learning with Probabilistic Interpretation. CoRR abs/2211.03646 (2022) - [i16]Tong Wei, Yash Patel, Jiri Matas, Daniel Barath:
Fully Differentiable RANSAC. CoRR abs/2212.13185 (2022) - 2021
- [c20]Yash Patel, Bharat S. Rawal, Yunkai Liu, Md Tajmilur Rahman:
Security and Privacy Challenges in 5G-enabled Technology. CSCloud/EdgeCom 2021: 53-58 - [c19]Slobodan Djukanovic, Yash Patel, Jirí Matas, Tuomas Virtanen:
Neural network-based acoustic vehicle counting. EUSIPCO 2021: 561-565 - [c18]Yash Patel, Jiri Matas:
FEDS - Filtered Edit Distance Surrogate. ICDAR (4) 2021: 171-186 - [c17]Yash Patel, Srikar Appalaraju, R. Manmatha:
Saliency Driven Perceptual Image Compression. WACV 2021: 227-236 - [i15]Yash Patel, Jiri Matas:
FEDS - Filtered Edit Distance Surrogate. CoRR abs/2103.04635 (2021) - [i14]Yash Patel, Giorgos Tolias, Jiri Matas:
Recall@k Surrogate Loss with Large Batches and Similarity Mixup. CoRR abs/2108.11179 (2021) - [i13]D. M. Anisuzzaman, Yash Patel, Behrouz Rostami, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu:
Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network. CoRR abs/2109.06969 (2021) - 2020
- [j3]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: 116968 (2020) - [c16]Yash Patel, Tomás Hodan, Jiri Matas:
Learning Surrogates via Deep Embedding. ECCV (30) 2020: 205-221 - [c15]Meet Parekh, Yash Patel:
Labeling News Article's Subject Using Uncertainty Based Active Learning. SmartCity360° 2020: 200-208 - [i12]Yash Patel, Srikar Appalaraju, R. Manmatha:
Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss. CoRR abs/2002.04988 (2020) - [i11]Yash Patel, Tomas Hodan, Jiri Matas:
Learning Surrogates via Deep Embedding. CoRR abs/2007.00799 (2020) - [i10]D. M. Anisuzzaman, Yash Patel, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu:
A Mobile App for Wound Localization using Deep Learning. CoRR abs/2009.07133 (2020) - [i9]Slobodan Djukanovic, Yash Patel, Jiri Matas, Tuomas Virtanen:
Neural Network-based Acoustic Vehicle Counting. CoRR abs/2010.11659 (2020)
2010 – 2019
- 2019
- [c14]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: 1582-1587 - [c13]Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
Self-Supervised Visual Representations for Cross-Modal Retrieval. ICMR 2019: 182-186 - [i8]Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
Self-Supervised Visual Representations for Cross-Modal Retrieval. CoRR abs/1902.00378 (2019) - [i7]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 abs/1907.00945 (2019) - [i6]Yash Patel, Srikar Appalaraju, R. Manmatha:
Deep Perceptual Compression. CoRR abs/1907.08310 (2019) - [i5]Yash Patel, Srikar Appalaraju, R. Manmatha:
Human Perceptual Evaluations for Image Compression. CoRR abs/1908.04187 (2019) - 2018
- [c12]Michal Busta, Yash Patel, Jiri Matas:
E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text. ACCV Workshops 2018: 127-143 - [i4]Yash Patel, Michal Busta, Jiri Matas:
E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text. CoRR abs/1801.09919 (2018) - [i3]Yash Patel, Kashyap Chitta, Bhavan Jasani:
Learning Sampling Policies for Domain Adaptation. CoRR abs/1805.07641 (2018) - [i2]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 abs/1807.02110 (2018) - 2017
- [c11]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: 2017-2026 - [i1]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 abs/1705.08631 (2017) - 2016
- [c10]Yash Patel, Lluís Gómez i Bigorda, Marçal Rusiñol, Dimosthenis Karatzas:
Dynamic Lexicon Generation for Natural Scene Images. ECCV Workshops (1) 2016: 395-410 - [c9]Anurag Ghosh, Yash Patel, Mohak Sukhwani, C. V. Jawahar:
Dynamic Narratives for Heritage Tour. ECCV Workshops (1) 2016: 856-870
2000 – 2009
- 2007
- [b1]Yash Patel:
Stochastic scheduling and workload allocation : QoS support and profitable brokering in computing grids. Imperial College London, UK, 2007 - [c8]Yash Patel, John Darlington:
Novel Stochastic Profitable Techniques For Brokers In A Web-Service Based Grid Market. Web Intelligence 2007: 132-140 - 2006
- [j2]Yash Patel, Andrew Stephen McGough, John Darlington:
A Profitable Broker in a Volatile Utility Grid. Int. Trans. Syst. Sci. Appl. 2(2): 167-176 (2006) - [c7]Yash Patel, John Darlington:
A Novel Approach to Workload Allocation of QoS-Constrained Workflow-Based Jobs in a Utility Grid. e-Science 2006: 150 - [c6]Yash Patel, John Darlington:
Average-Based Workload Allocation Strategy for QoS-Constrained Jobs In A Web Service-Oriented Grid. EDOC Workshops 2006: 11 - [c5]Yash Patel, Andrew Stephen McGough, John Darlington:
QoS Support For Workflows In A Volatile Grid. GRID 2006: 64-71 - [c4]Yash Patel, John Darlington:
A Novel Stochastic Algorithm for Scheduling QoS-Constrained Workflows in a Web Service-Oriented Grid. IAT Workshops 2006: 437-442 - [c3]Yash Patel, John Darlington:
Allocating QOS-Constrained Applications in a Web Service-Oriented Grid. ICDCIT 2006: 278-290 - [c2]Yash Patel, John Darlington:
Allocating QoS-Constrained Workflow-Based Jobs in a Multi-cluster Grid Through Queueing Theory Approach. ISPA 2006: 499-510 - [c1]Yash Patel, John Darlington:
A novel approach to allocating QoS-constrained workflow-based jobs in a multi-cluster grid. MGC@Middleware 2006: 2 - 2005
- [j1]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): 259-281 (2005)
Coauthor Index
aka: Jirí Matas
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