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Monika Sharma
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Journal Articles
- 2024
- [j9]Monika Sharma, Ajay Kaul:
A review of detecting malware in android devices based on machine learning techniques. Expert Syst. J. Knowl. Eng. 41(1) (2024) - [j8]Monika Sharma, Mantosh Biswas:
A deep learning based hybrid framework for semisupervised classification of hyperspectral remote sensing images. Multim. Tools Appl. 83(18): 55447-55470 (2024) - 2022
- [j7]Monika Sharma, Mantosh Biswas:
KLT-CRKCN: Hyperspectral Image Classification via Karhunen Loeve Transformation and Collaborative Representation-Based K Closest Neighbor. Wirel. Pers. Commun. 123(4): 3347-3373 (2022) - [j6]Monika Sharma, Mantosh Biswas:
A Deep Learning-Based Intelligent Decision Support System for Hyperspectral Image Classification Using Manifold Batch Structure in Internet of Things (IoT). Wirel. Pers. Commun. 126(3): 2119-2147 (2022) - 2021
- [j5]Monika Sharma, Mantosh Biswas:
Classification of hyperspectral remote sensing image via rotation-invariant local binary pattern-based weighted generalized closest neighbor. J. Supercomput. 77(6): 5528-5561 (2021) - 2020
- [j4]Monika Sharma, Bharat Singh Rajpurohit, Samar Agnihotri, Akshay Kumar Rathore:
Development of Fractional Order Modeling of Voltage Source Converters. IEEE Access 8: 131750-131759 (2020) - 2019
- [j3]Shashank Gupta, Monika Sharma, Dhrub Kumar:
SEC-H5: Secure and efficient integration of settings of enhanced HTML5 XSS vector defensive framework on edge network of fog nodes. Concurr. Comput. Pract. Exp. 31(17) (2019) - 2017
- [j2]Seba Susan, Monika Sharma:
Automatic texture defect detection using Gaussian mixture entropy modeling. Neurocomputing 239: 232-237 (2017) - 2016
- [j1]Beibei Wang, Joshua Francis, Monika Sharma, Sean M. Law, Alexander V. Predeus, Michael Feig:
Long-Range Signaling in MutS and MSH Homologs via Switching of Dynamic Communication Pathways. PLoS Comput. Biol. 12(10) (2016)
Conference and Workshop Papers
- 2024
- [c35]Monika Sharma, Peter Palensky, José Luis Rueda Torres:
EMT Simulation Based Parametric Tuning of Damping Support in MMC- HVDC Networks. ISIE 2024: 1-6 - 2023
- [c34]Monika Sharma, Ajay Kaul:
Suspicious Permissions Detection of Covid-19 Themed Malicious Android Applications. ICAIC 2023: 1-6 - [c33]Monika Sharma, Mantosh Biswas:
WDRKNN: Weighted Distance Representation based Nearest Neighbor for Hyperspectral Remote Sensing Imagery Classification. ICCCNT 2023: 1-6 - 2022
- [c32]Manu Sheoran, Monika Sharma, Meghal Dani, Lovekesh Vig:
Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation. ACCV (Workshops) 2022: 102-116 - [c31]Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
An Efficient Anchor-Free Universal Lesion Detection in Ct-Scans. ISBI 2022: 1-4 - 2021
- [c30]Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. BMVC 2021: 413 - [c29]Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig:
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. ESANN 2021 - [c28]Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig:
Data-Efficient Training of High-Resolution Images in Medical Domain. ESANN 2021 - [c27]Monika Sharma, Bharat Singh Rajpurohit:
Investigation on Fractional Order Controller Using Ball-and-Beam System. IECON 2021: 1-5 - [c26]Shubham Paliwal, Monika Sharma, Lovekesh Vig:
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. IJCNN 2021: 1-8 - [c25]Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig:
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. PAKDD (Workshops) 2021: 168-180 - 2020
- [c24]Nikita Goel, Monika Sharma, Lovekesh Vig:
Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime. CVPR Workshops 2020: 2369-2376 - [c23]Kushagra Mahajan, Monika Sharma, Lovekesh Vig:
Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning. CVPR Workshops 2020: 3142-3151 - [c22]Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff:
CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. TIA@MICCAI 2020: 61-73 - 2019
- [c21]Kushagra Mahajan, Monika Sharma, Lovekesh Vig:
Character Keypoint-Based Homography Estimation in Scanned Documents for Efficient Information Extraction. CBDAR@ICDAR 2019: 25-30 - [c20]Shubham Singh Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig:
TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images. ICDAR 2019: 128-133 - [c19]Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig:
Automatic Information Extraction from Piping and Instrumentation Diagrams. ICPRAM 2019: 163-172 - [c18]Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig:
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. IJCNN 2019: 1-7 - 2018
- [c17]Monika Sharma, Abhishek Verma, Lovekesh Vig:
Learning to Clean: A GAN Perspective. ACCV Workshops 2018: 174-185 - [c16]Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan:
Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language. ACCV Workshops 2018: 186-201 - [c15]Monika Sharma, Tristan Glatard, Éric Gélinas, Mariam Tagmouti, Brigitte Jaumard:
Service failure prediction in supply-chain networks. IEEE BigData 2018: 1827-1836 - [c14]Swati, Monika Sharma, Lovekesh Vig:
Automatic Classification of Low-Resolution Chromosomal Images. ECCV Workshops (6) 2018: 315-325 - [c13]Monika Sharma, Swati, Lovekesh Vig:
Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands. IJCNN 2018: 1-8 - [c12]Monika Sharma, Balwant Prajapat:
Multi-user Detection in Wireless Networks Using Decision Feedback Signal Cancellation. WIR 2018: 379-387 - 2017
- [c11]Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande:
Crowdsourcing for Chromosome Segmentation and Deep Classification. CVPR Workshops 2017: 786-793 - [c10]Swati, Gaurav Gupta, Mohit Yadav, Monika Sharma, Lovekesh Vig:
Siamese Networks for Chromosome Classification. ICCV Workshops 2017: 72-81 - [c9]Gaurav Gupta, Swati, Monika Sharma, Lovekesh Vig:
Information Extraction from Hand-Marked Industrial Inspection Sheets. CBDAR@ICDAR 2017: 33-38 - [c8]Monika Sharma, Ramya Hebbalaguppe, Lovekesh Vig:
Pre-trained classifiers with One Shot Similarity for context aware face verification and identification. ISBA 2017: 1-7 - 2016
- [c7]Ankit Verma, Monika Sharma, Ramya Hebbalaguppe, Ehtesham Hassan, Lovekesh Vig:
Automatic Container Code Recognition via Spatial Transformer Networks and Connected Component Region Proposals. ICMLA 2016: 728-733 - [c6]Ramakrishna Perla, Ehtesham Hassan, Ramya Hebbalaguppe, Monika Sharma, Gaurav Gupta, Lovekesh Vig, Geetika Sharma, Gautam Shroff:
An AR Inspection Framework: Feasibility Study with Multiple AR Devices. ISMAR Adjunct 2016: 221-226 - 2015
- [c5]Monika Sharma, Kiran Francis, Hiranmay Ghosh:
Unsupervised Geo-Demographic Classification of City-Area Using Multimodal Multimedia Data. BigMM 2015: 240-243 - [c4]Monika Sharma, Hiranmay Ghosh:
Histogram of gradient magnitudes: A rotation invariant texture-descriptor. ICIP 2015: 4614-4618 - 2013
- [c3]Jyotikrishna Dass, Monika Sharma, Ehtesham Hassan, Hiranmay Ghosh:
A density based method for automatic hairstyle discovery and recognition. NCVPRIPG 2013: 1-4 - 2012
- [c2]Avik Ghose, Provat Biswas, Chirabrata Bhaumik, Monika Sharma, Arpan Pal, Abhinav Jha:
Road condition monitoring and alert application: Using in-vehicle Smartphone as Internet-connected sensor. PerCom Workshops 2012: 489-491 - 2009
- [c1]Eshita Mutt, Monika Sharma, Jyothish Soman, Kishore Kothapalli, Abhijit Mitra:
Graph Theoretic Approach for Studying Correlated Motions in Biomolecules. NaBIC 2009: 115-120
Informal and Other Publications
- 2024
- [i16]Shubham Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig:
CustomText: Customized Textual Image Generation using Diffusion Models. CoRR abs/2405.12531 (2024) - [i15]Arushi Jain, Shubham Paliwal, Monika Sharma, Vikram Jamwal, Lovekesh Vig:
Multi-Subject Personalization. CoRR abs/2405.12742 (2024) - [i14]Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig, Gautam Shroff:
SmartFlow: Robotic Process Automation using LLMs. CoRR abs/2405.12842 (2024) - 2022
- [i13]Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig:
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. CoRR abs/2203.06873 (2022) - [i12]Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection. CoRR abs/2203.06886 (2022) - [i11]Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig:
An Efficient Anchor-free Universal Lesion Detection in CT-scans. CoRR abs/2203.16074 (2022) - 2021
- [i10]Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig:
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams. CoRR abs/2109.03794 (2021) - [i9]Shubham Paliwal, Monika Sharma, Lovekesh Vig:
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN. CoRR abs/2109.03849 (2021) - 2020
- [i8]Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig:
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images. CoRR abs/2001.01469 (2020) - 2019
- [i7]Monika Sharma, Abhishek Verma, Lovekesh Vig:
Learning to Clean: A GAN Perspective. CoRR abs/1901.11382 (2019) - [i6]Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig:
Automatic Information Extraction from Piping and Instrumentation Diagrams. CoRR abs/1901.11383 (2019) - [i5]Kushagra Mahajan, Monika Sharma, Lovekesh Vig:
Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction. CoRR abs/1911.05870 (2019) - [i4]Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig:
ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks. CoRR abs/1911.09375 (2019) - 2018
- [i3]Monika Sharma, Tristan Glatard, Éric Gélinas, Mariam Tagmouti, Brigitte Jaumard:
Data models for service failure prediction in supply-chain networks. CoRR abs/1810.09944 (2018) - [i2]Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan:
Deep Reader: Information extraction from Document images via relation extraction and Natural Language. CoRR abs/1812.04377 (2018) - 2010
- [i1]Monika Sharma, Ashwani Mehra, Haresh Jola, Anand Kumar, Madhvendra Misra, Vijayshri Tiwari:
Scope of cloud computing for SMEs in India. CoRR abs/1005.4030 (2010)
Coauthor Index
aka: Shubham Singh Paliwal
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last updated on 2024-10-07 21:15 CEST by the dblp team
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