Ajit Rajwade

Orcid: 0000-0001-6463-3315

Affiliations:
  • IIT Bombay, Department of Computer Science and Engineering, India


According to our database1, Ajit Rajwade authored at least 54 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A likelihood based method for compressive signal recovery under Gaussian and saturation noise.
Signal Process., April, 2024

Performance bounds for LASSO under multiplicative LogNormal noise: Applications to pooled RT-PCR testing.
Signal Process., January, 2024

2023
Group Testing With Side Information via Generalized Approximate Message Passing.
IEEE Trans. Signal Process., 2023

Analysis of Tomographic Reconstruction of 2D Images using the Distribution of Unknown Projection Angles.
CoRR, 2023

GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion Estimates.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Forest: White Matter Fiber Orientation Estimation Using Deep Learning in Diffusion MRI.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Estimating Joint Probability Distribution with Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Mitigating Object Prior-Bias From Sparse-Projection Tomographic Reconstructions.
IEEE Trans. Computational Imaging, 2022

Joint Probability Estimation Using Tensor Decomposition and Dictionaries.
CoRR, 2022

TL-HARDI: Transform learning based accelerated reconstruction of HARDI data.
Comput. Biol. Medicine, 2022

CSR-PERT: Joint framework for MRI and HARDI data reconstruction using perturbed radial trajectory estimated from compressively sensed measurements.
Comput. Biol. Medicine, 2022

Joint Probability Estimation U sing Tensor Decomposition and Dictionaries.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Two penalized estimators based on variance stabilization transforms for sparse compressive recovery with Poisson measurement noise.
Signal Process., 2021

Analyzing cross-validation in compressed sensing with Poisson noise.
Signal Process., 2021

Contact Tracing Information Improves the Performance of Group Testing Algorithms.
CoRR, 2021

Reconstruction of Sparse Signals under Gaussian Noise and Saturation.
CoRR, 2021

Recovery of Joint Probability Distribution from One-Way Marginals: Low Rank Tensors and Random Projections.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Compressive Signal Recovery Under Sensing Matrix Errors Combined With Unknown Measurement Gains.
Proceedings of the IEEE International Conference on Acoustics, 2021

Contact Tracing Enhances the Efficiency of Covid-19 Group Testing.
Proceedings of the IEEE International Conference on Acoustics, 2021

Analyzing Cross Validation in Compressed Sensing with Mixed Gaussian And Impulse Measurement Noise With L1 Errors.
Proceedings of the 29th European Signal Processing Conference, 2021

Reconstruction Of Sparse Signals Using Likelihood Maximization from Compressive Measurements with Gaussian And Saturation Noise.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Low radiation tomographic reconstruction with and without template information.
Signal Process., 2020

Fourier Based Pre-Processing For Seeing Through Water.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

MSR-Hardi: Accelerated Reconstruction of Hardi Data Using Multiple Sparsity Regularizers.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Using an Information Theoretic Metric for Compressive Recovery under Poisson Noise.
Signal Process., 2019

Dealing with frequency perturbations in compressive reconstructions with Fourier sensing matrices.
Signal Process., 2019

Tomographic reconstruction to detect evolving structures.
CoRR, 2019

Compressive Phase Retrieval under Poisson Noise.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Semi-Supervised Robust One-Class Classification in RKHS for Abnormality Detection in Medical Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

AB Initio Tomography With Object Heterogeneity and Unknown Viewing Paramete.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Nonlinear Blind Compressed Sensing Under Signal-Dependent Noise.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Learning from past scans: Tomographic reconstruction to detect new structures.
CoRR, 2018

Performance Bounds for Tractable Poisson Denoisers with Principled Parameter Tuning.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Perturbed Compressed Sensing Based Single Snapshot DOA Estimation.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Signal Recovery in Perturbed Fourier Compressed Sensing.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Poisson Low-Rank Matrix Recovery Using the Anscombe Transform.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Tomographic Reconstruction using Global Statistical Prior.
CoRR, 2017

Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Kernel generalized Gaussian and robust statistical learning for abnormality detection in medical images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Stronger recovery guarantees for sparse signals exploiting coherence structure in dictionaries.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Performance bounds for Poisson compressed sensing using Variance Stabilization Transforms.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Tomographic Reconstruction Using Global Statistical Priors.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
Multi-slice tomographic reconstruction: to couple or not to couple.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

An image analysis approach for transcription of music played on keyboard-like instruments.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Tomographic reconstruction from projections with unknown view angles exploiting moment-based relationships.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Dictionary learning for Poisson compressed sensing.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Comparison of Some Methods for Direct 2D Reconstruction from Discrete Projected Views.
Proceedings of the Discrete Geometry for Computer Imagery, 2016

2015
Image denoising using orthogonal locality preserving projections.
J. Electronic Imaging, 2015

Low bit-rate compression of video and light-field data using coded snapshots and learned dictionaries.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

2014
Rough set based image denoising for brain MR images.
Signal Process., 2014

2013
A New Orthogonalization of Locality Preserving Projection and Applications.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Object boundary detection using Rough Set Theory.
Proceedings of the Fourth National Conference on Computer Vision, 2013

2012
A new denoising filter for brain MR images.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012


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