Krishna Agarwal

30 papers A* 1A 2B 3Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Computational Comparison and Validation of Point Spread Functions for Optical Microscopes.
IEEE Trans. Computational Imaging
Zicheng Liu, Yingying Qin, Jean-Claude Tinguely, Krishna Agarwal
2025 A conf
DATSO: A Difficulty Assessment Tool for Stack Overflow Questions.
SANER
Aman Swaraj, Neha Gujar, Manashree Kalode, Bhoomi Bonal, Krishna Agarwal, Sandeep Kumar
2025 A conf
Detecting Adversarial Prompted AI-Generated Code on Stack Overflow: A Benchmark Dataset and an Enhanced Detection Approach.
ICSME
Aman Swaraj, Krishna Agarwal, Atharv Joshi, Sandeep Kumar
2025 B conf
Haphazard Inputs as Images in Online Learning.
IJCNN
Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad
2025 J jnl
Haphazard Inputs as Images in Online Learning.
CoRR
Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad
2025 — conf
Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Images.
GbRPR
Ananda S. Chowdhury, Snehendu Majhi, Suyog Jadhav, Krishna Agarwal, Dilip K. Prasad
2025 J jnl
Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations.
CoRR
S. R. Eshwar, Aniruddha Mukherjee, Kintan Saha, Krishna Agarwal, Gugan Thoppe, Aditya Gopalan, Gal Dalal
2024 B conf
Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging.
ICIP
Ayush Somani, Anshul Gupta, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad
2024 J jnl
High-resolution imaging in acoustic microscopy using deep learning.
Mach. Learn. Sci. Technol.
Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal, Dilip K. Prasad, Frank Melandsø, Anowarul Habib
2024 J jnl
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis.
CoRR
Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
2024 J jnl
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space.
CoRR
Rohit Agarwal, Karaka Prasanth Naidu, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
2023 — conf
Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy.
CVPR Workshops
Ayush Somani, Pragyan Banerjee, Krishna Agarwal, Manu Rastogi, Dilip K. Prasad, Anowarul Habib
2023 J jnl
MiShape: 3D Shape Modelling of Mitochondria in Microscopy.
CoRR
Abhinanda R. Punnakkal, Suyog S. Jadhav, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad
2022 — conf
Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs.
ICONIP (1)
Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad
2022 J jnl
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering.
IEEE Trans. Computational Imaging
Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal
2021 — conf
Digital Staining of Mitochondria in Label-free Live-cell Microscopy.
Bildverarbeitung für die Medizin
Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad, Alexander Horsch
2021 J jnl
Highly Efficient and Scalable Framework for High-Speed Super-Resolution Microscopy.
IEEE Access
Quan Do, Sebastian Acuña, Jon Ivar Kristiansen, Krishna Agarwal, Phuong Hoai Ha
2021 J jnl
Physics-based machine learning for subcellular segmentation in living cells.
Nat. Mach. Intell.
Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
2021 J jnl
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering.
CoRR
Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal
2020 J jnl
Application of Subspace-Based Distorted-Born Iteration Method in Imaging Biaxial Anisotropic Scatterer.
IEEE Trans. Computational Imaging
Xiuzhu Ye, Naixin Zhang, Kuiwen Xu, Krishna Agarwal, Ming Bai, Dawei Liu, Xudong Chen
2020 J jnl
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs.
CoRR
Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad
2020 A* conf
Learning Nanoscale Motion Patterns of Vesicles in Living Cells.
CVPR
Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
2020 J jnl
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells.
CoRR
Arif Ahmed Sekh, Ida Sundvor Opstad, Rohit Agarwal, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad
2020 J jnl
Solving Phaseless Highly Nonlinear Inverse Scattering Problems With Contraction Integral Equation for Inversion.
IEEE Trans. Computational Imaging
Lu Zhang, Kuiwen Xu, Yu Zhong, Krishna Agarwal
2019 J jnl
Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals.
Sensors
Gaurav Tripathi, Habib Anowarul, Krishna Agarwal, Dilip K. Prasad
2016 J jnl
Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes.
Sensors
Dilip K. Prasad, Krishna Agarwal
2016 J jnl
Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals.
Comput. Math. Methods Medicine
Dwarikanath Mahapatra, Krishna Agarwal, Reza Khosrowabadi, Dilip K. Prasad
2013 J jnl
Improving the Performances of the Contrast Source Extended Born Inversion Method by Subspace Techniques.
IEEE Geosci. Remote. Sens. Lett.
Krishna Agarwal, Rencheng Song, Michele D'Urso, Xudong Chen
2010 J jnl
An Improved Subspace-Based Optimization Method and Its Implementation in Solving Three-Dimensional Inverse Problems.
IEEE Trans. Geosci. Remote. Sens.
Yu Zhong, Xudong Chen, Krishna Agarwal
2007 B conf
Application of differential evolution in 2-dimensional electromagnetic inverse problems.
IEEE Congress on Evolutionary Computation
Krishna Agarwal, Xudong Chen