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Computer Science

D-Index
83
Citations
30179
World Ranking
895
National Ranking
488

Overview

Vishal M. Patel is affiliated with Johns Hopkins University in the United States and has a substantial publication record in the field of computer science, focusing on multiple specialized areas.

The main fields of study for this researcher include:

  • Computer Science

Within this broad discipline, their work extensively covers several subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Media Technology
  • Signal Processing

The research topics frequently addressed in their publications consist of:

  • Advanced Image Processing Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Face Recognition and Analysis
  • Image and Signal Denoising Methods
  • Image Enhancement Techniques

Vishal M. Patel has collaborated regularly with several co-authors, including:

  • Jeya Maria Jose Valanarasu
  • Wele Gedara Chaminda Bandara
  • Rajeev Yasarla
  • Nithin Gopalakrishnan Nair
  • Vibashan VS

The researcher's recent publications demonstrate engagement with contemporary challenges in image processing and machine learning, illustrated by the following papers:

  • "KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation" (2021), published in IEEE Transactions on Medical Imaging
  • "Unsupervised Domain Adaptation of Object Detectors: A Survey" (2023), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Image Fusion Transformer" (2022), presented at the 2022 IEEE International Conference on Image Processing (ICIP)
  • "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" (2021), published in Lecture Notes in Computer Science
  • "HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Publication venues where Vishal M. Patel has contributed frequently include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • Lecture Notes in Computer Science

Their contributions also extend to book publications with Springer Science+Business Media and Springer International Publishing, with titles such as:

  • "Image Analysis and Processing - ICIAP 2022" (2022)
  • "Securing Social Identity in Mobile Platforms" (2020)

Best Publications

  • HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

    Rajeev Ranjan;Vishal M. Patel;Rama Chellappa

  • Image De-Raining Using a Conditional Generative Adversarial Network

    He Zhang;Vishwanath Sindagi;Vishal M. Patel

  • Densely Connected Pyramid Dehazing Network

    He Zhang;Vishal M. Patel

  • Density-Aware Single Image De-raining Using a Multi-stream Dense Network

    He Zhang;Vishal M. Patel

  • Visual Domain Adaptation: A survey of recent advances

    Vishal M Patel;Raghuraman Gopalan;Ruonan Li;Rama Chellappa

  • Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

    Jeya Maria Jose Valanarasu;Poojan Oza;Ilker Hacihaliloglu;Vishal M. Patel

  • Frontal to profile face verification in the wild

    Soumyadip Sengupta;Jun-Cheng Chen;Carlos Castillo;Vishal M. Patel

  • Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs

    Vishwanath A. Sindagi;Vishal M. Patel

  • A survey of recent advances in CNN-based single image crowd counting and density estimation

    Vishwanath A. Sindagi;Vishal M. Patel

  • Learning Deep Features for One-Class Classification

    Pramuditha Perera;Vishal M. Patel

  • Compressed Synthetic Aperture Radar

    V.M. Patel;G.R. Easley;D.M. Healy;R. Chellappa

  • CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting

    Vishwanath A. Sindagi;Vishal M. Patel

  • Cancelable Biometrics: A review

    Vishal M. Patel;Nalini K. Ratha;Rama Chellappa

  • Deep Multitask Learning for Railway Track Inspection

    Xavier Gibert;Vishal M. Patel;Rama Chellappa

  • Secure and Robust Iris Recognition Using Random Projections and Sparse Representations

    J. K. Pillai;V. M. Patel;R. Chellappa;N. K. Ratha

  • Continuous User Authentication on Mobile Devices: Recent progress and remaining challenges

    Vishal M. Patel;Rama Chellappa;Deepak Chandra;Brandon Barbello

  • Unconstrained face verification using deep CNN features

    Jun-Cheng Chen;Vishal M. Patel;Rama Chellappa

  • JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method

    Vishwanath Sindagi;Rajeev Yasarla;Vishal M. M Patel

  • C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition

    Poojan Oza;Vishal M. Patel

  • Joint Sparse Representation for Robust Multimodal Biometrics Recognition

    Sumit Shekhar;Vishal M. Patel;Nasser M. Nasrabadi;Rama Chellappa

  • SAR Image Despeckling Using a Convolutional.

    Puyang Wang;He Zhang;Vishal M. Patel

  • Deep Multi-task Learning for Railway Track Inspection

    Xavier Gibert;Vishal M. Patel;Rama Chellappa

Frequent Co-Authors

Rama Chellappa
Rama Chellappa Johns Hopkins University
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Nasser M. Nasrabadi
Nasser M. Nasrabadi West Virginia University
P. Jonathon Phillips
P. Jonathon Phillips National Institute of Standards and Technology
Julian Fierrez
Julian Fierrez Autonomous University of Madrid
Nalini K. Ratha
Nalini K. Ratha University at Buffalo, State University of New York
Pong C. Yuen
Pong C. Yuen Hong Kong Baptist University
Zhe Lin
Zhe Lin Adobe Systems (United States)
Demetrio Labate
Demetrio Labate University of Houston
R. Venkatesh Babu
R. Venkatesh Babu Indian Institute of Science

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