Arnav Bhavsar

According to our database1, Arnav Bhavsar authored at least 76 papers between 2013 and 2021.

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

Timeline

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Bibliography

2021
Virtual Screening of Pharmaceutical Compounds with hERG Inhibitory Activity (Cardiotoxicity) using Ensemble Learning.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

EEG Classification for Visual Brain Decoding via Metric Learning.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
SVD-based redundancy removal in 1-D CNNs for acoustic scene classification.
Pattern Recognit. Lett., 2020

Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach.
Medical Biol. Eng. Comput., 2020

Detecting Deepfakes with Metric Learning.
CoRR, 2020

Syn2Real: Forgery Classification via Unsupervised Domain Adaptation.
CoRR, 2020

Syn2Real: Forgery Classification via Unsupervised Domain Adaptation.
Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

Detecting Deepfakes with Metric Learning.
Proceedings of the 8th International Workshop on Biometrics and Forensics, 2020

HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net).
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Effectiveness of GAN-based Synthetic Samples Generation of Minority Patterns in HEp-2 Cell Images<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Automated Scoring of Metaphase Cell Images and Identification of Dicentric Chromosomes.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
A Nonlinear Coupled Diffusion System for Image Despeckling and Application to Ultrasound Images.
Circuits Syst. Signal Process., 2019

Copy-Move Forgery Classification via Unsupervised Domain Adaptation.
CoRR, 2019

Detecting mitotic cells in HEp-2 images as anomalies via one class classifier.
Comput. Biol. Medicine, 2019

AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps.
Proceedings of the IEEE International Conference on Acoustics, 2019

An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features.
Proceedings of the Digital Pathology - 15th European Congress, 2019

Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Partially-Independent Framework for Breast Cancer Histopathological Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Fabric Classification and Matching Using CNN and Siamese Network for E-commerce.
Proceedings of the Computer Analysis of Images and Patterns, 2019

FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network.
Proceedings of the Computer Analysis of Images and Patterns, 2019

A CNN Based HEp-2 Specimen Image Segmentation and Identification of Mitotic Spindle Type Specimens.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Feature Importance for Human Epithelial (HEp-2) Cell Image Classification.
J. Imaging, 2018

Guided depth image reconstruction from very sparse measurements.
J. Electronic Imaging, 2018

Role of Class-specific Features in Various Classification Frameworks for Human Epithelial (HEp-2) Cell Images.
CoRR, 2018

Considerations for a PAP Smear Image Analysis System with CNN Features.
CoRR, 2018

Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints.
CoRR, 2018

Mitotic cells detection for HEp-2 specimen images using threshold-based evaluation scheme.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

CNN based segmentation of nuclei in PAP-smear images with selective pre-processing.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

DeepCerv: Deep Neural Network for Segmentation Free Robust Cervical Cell Classification.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

CNN-Based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images.
Proceedings of the Pattern Recognition Applications and Methods, 2018

MR-Srnet: Transformation of Low Field MR Images to High Field MR Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.
Proceedings of the 26th European Signal Processing Conference, 2018

Sequential Modeling of Deep Features for Breast Cancer Histopathological Image Classification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Co-Detection in Images Using Saliency and Siamese Networks.
Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

Faster RCNN-CNN-Based Joint Model for Bird Part Localization in Images.
Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network.
Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

Mitotic v/s non-mitotic HEp-2 cells classification for CAD based auto-immune disorder detection: a study using CNN.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

CNN based Mitotic HEp-2 Cell Image Detection.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Depth Map Restoration From Undersampled Data.
IEEE Trans. Image Process., 2017

Noise adaptive super-resolution from single image via non-local mean and sparse representation.
Signal Process., 2017

Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation.
CoRR, 2017

Patch Similarity in Transform Domain for Intensity/Range Image Denoising with Edge Preservation.
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

GMM Based Single Depth Image Super-Resolution.
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

A study of interdependence between vessel enhancement and registration for lung 4D-CT.
Proceedings of the Twenty-third National Conference on Communications, 2017

Local segment-based dense depth reconstruction from very sparsely sampled data.
Proceedings of the Twenty-third National Conference on Communications, 2017

Random Forest-Based Feature Importance for HEp-2 Cell Image Classification.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Unsupervised Segmentation of Cervical Cell Nuclei via Adaptive Clustering.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important?
Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017

Breast Cancer Histopathological Image Classification: Is Magnification Important?
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Bird Region Detection in Images with Multi-scale HOG Features and SVM Scoring.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017

Temporal Activity Segmentation for Depth Cameras Using Joint Angle Variance Features.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017

An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification with Joint Colour-Texture Features.
Proceedings of the Computer Analysis of Images and Patterns, 2017

2016
Shape Estimation from Defocus Cue for Microscopy Images via Belief Propagation.
CoRR, 2016

Automated brain tractography segmentation using curvature points.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Multi-scale image denoising while preserving edges in sparse domain.
Proceedings of the 6th European Workshop on Visual Information Processing, 2016

Hierarchical classification of HEP-2 cell images using class-specific features.
Proceedings of the 6th European Workshop on Visual Information Processing, 2016

Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Scale Invariant Human Action Detection from Depth Cameras Using Class Templates.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Human Action Recognition for Depth Cameras via Dynamic Frame Warping.
Proceedings of International Conference on Computer Vision and Image Processing, 2016

2015
Iterative solvers for image denoising with diffusion models: A comparative study.
Comput. Math. Appl., 2015

A hierarchical class-grouping approach, and a study of classification strategies for leaf classification.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Mean-shift based segmentation of cell nuclei in cervical PAP-smear images.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Class-specific hierarchical classification for HEP-2 specimen images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Better Guiding the Guided Range Image Filter for Range-Image Super-resolution.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Enhancing Shape from Focus-Measure-Fusion and Sparse Representation.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Super-resolving a Single Intensity/Range Image via Non-local Means and Sparse Representation.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes.
Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

Hierarchical example-based range-image super-resolution with edge-preservation.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Motion-guided resolution enhancement for Lung 4D-CT.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

A Comparative Study of Iterative Solvers for Image De-noising.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

2013
Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013


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