Arnav Bhavsar

According to our database, Arnav Bhavsar authored at least 109 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN.

Rahul Mishra, Arnav Bhavsar

CoRR, 2024

Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods.

Akash K. Rao, Vishnu K. Menon, Arnav Bhavsar, Shubhajit Roy Chowdhury, Ramsingh Negi, Varun Dutt

CoRR, 2024

Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods.

Akash K. Rao, Shashank Uttrani, Vishnu K. Menon, Darshil Shah, Arnav Bhavsar, Shubhajit Roy Chowdhury, Varun Dutt

CoRR, 2024

YOLOv7E: An Attention-Based Improved YOLOv7 for the Detection of Unmanned Aerial Vehicles.

Dapinder Kaur, Neeraj Battish, Arnav Bhavsar, Shashi Poddar

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Wavelet Based Feature Extraction for Multi-Model Ensemble Approach for Mental Workload Classification Using EEG.

Fiza Parveen, Arnav Bhavsar

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

NeuroGAN: image reconstruction from EEG signals via an attention-based GAN.

Rahul Mishra, Krishan Sharma, Ranjeet Ranjan Jha, Arnav Bhavsar

Neural Comput. Appl., April, 2023

Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver.

Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Walter Schneider, Arnav Bhavsar, Aditya Nigam

Comput. Methods Programs Biomed., March, 2023

TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules.

Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Arnav Bhavsar, Aditya Nigam

Medical Image Anal., 2023

Does longitudinal, anodal tDCS improve working memory? A behavioral investigation: tDCS and Working Memory.

Darshil Shah, Akash K. Rao, Arnav Bhavsar, Shubhajit Roy Chowdhury, Sushil Chandra, Varun Dutt

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Prediction of decision-making performance post-longitudinal tDCS administration via EEG features and machine learning.

Akash K. Rao, Zoha Fatma, Vishnu K. Menon, Arnav Bhavsar, Shubhajit Roy Chowdhury, Sushil Chandra, Varun Dutt, Kulbhushan Chand

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Attention based 1D-CNN for Mental Workload Classification using EEG.

Fiza Parveen, Arnav Bhavsar

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Learning channel attention for decoding of visual imagined text from multi-band EEG using metric learning.

Gaurav Jaswal, Geetanjali Sharma, Varun Dutt, Arnav Bhavsar

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

PA-GAN: Parallel Attention Based Gan for Enhancement of FODF.

Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Anti-seizure Medication Classification using EEG signals via Attention-based CNN.

Hrishikesh Tiwary, Arnav Bhavsar

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Detection of mitotic HEp-2 cell images: role of feature representation and classification framework under class skew.

Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

Medical Biol. Eng. Comput., 2022

Image Forgery Detection with Interpretability.

Ankit Katiyar, Arnav Bhavsar

CoRR, 2022

Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection.

Sruthi Krishna, Suganthi S. S, Shivsubramani Krishnamoorthy, Arnav Bhavsar

CoRR, 2022

Deep Learning with Spatial and Channel Attention for Epileptic Seizure Type Classification Using Frequency Characterization.

Hrishikesh Tiwary, Piyus Rout, Arnav Bhavsar

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Fine Grained Few-Shot Classification with Contrastive Clues.

Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Reconstruction of visual stimulus from the EEG recordings via generative adversarial network.

Rahul Mishra, Krishan Sharma, Arnav Bhavsar

Proceedings of the Medical Imaging 2022: Image Processing, 2022

LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention.

Ranjeet Ranjan Jha, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Perusal of Camera Trap Sequences Across Locations.

Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar

Proceedings of the Pattern Recognition Applications and Methods, 2022

Sieving Camera Trap Sequences in the Wild.

Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules.

Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multi Modality Medical Image Translation for Dicom Brain Images.

Ninad Anklesaria, Yashvi Malu, Dhyey Nikalwala, Urmi Pathak, Jinal Patel, Nirali R. Nanavati, Preethi Srinivasan, Arnav Bhavsar

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Heterogeneous ensemble with information theoretic diversity measure for human epithelial cell image classification.

Vibha Gupta, Arnav Bhavsar

Medical Biol. Eng. Comput., 2021

Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN.

Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Visual Brain Decoding for Short Duration EEG Signals.

Rahul Mishra, Krishan Sharma, Arnav Bhavsar

Proceedings of the 29th European Signal Processing Conference, 2021

Virtual Screening of Pharmaceutical Compounds with hERG Inhibitory Activity (Cardiotoxicity) using Ensemble Learning.

Aditya Sarkar, Arnav Bhavsar

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

EEG Classification for Visual Brain Decoding via Metric Learning.

Rahul Mishra, Arnav Bhavsar

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Time-Frequency Representations for EEG Artifact Classification with CNNs.

Hrishikesh Tiwary, Arnav Bhavsar

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020

SVD-based redundancy removal in 1-D CNNs for acoustic scene classification.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

Pattern Recognit. Lett., 2020

Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach.

Pankaj Kumar Jain, Saurabh Gupta, Arnav Bhavsar, Aditya Nigam, Neeraj Sharma

Medical Biol. Eng. Comput., 2020

Detecting Deepfakes with Metric Learning.

Akash Kumar, Arnav Bhavsar

CoRR, 2020

Syn2Real: Forgery Classification via Unsupervised Domain Adaptation.

Akash Kumar, Arnav Bhavasar

CoRR, 2020

Syn2Real: Forgery Classification via Unsupervised Domain Adaptation.

Akash Kumar, Arnav Bhavsar, Rajesh Verma

Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

Detecting Deepfakes with Metric Learning.

Akash Kumar, Arnav Bhavsar, Rajesh Verma

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.

Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar

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).

Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Sudhir K. Pathak, Walter Schneider, Rathish Kumar

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^*.

Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao

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.

Muhammad Ubadah, Kishore K. Singh, Anil Kumar Sao, Arnav Bhavsar, Shuchi Bhagi, Amit Alok, N. K. Chaudhury

Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images.

Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar

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.

Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, Aditya Nigam

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.

Subit K. Jain, Rajendra K. Ray, Arnav Bhavsar

Circuits Syst. Signal Process., 2019

Copy-Move Forgery Classification via Unsupervised Domain Adaptation.

Akash Kumar, Arnav Bhavsar

CoRR, 2019

Detecting mitotic cells in HEp-2 images as anomalies via one class classifier.

Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

Comput. Biol. Medicine, 2019

AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass.

Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

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.

Vibha Gupta, Arnav Bhavsar

Proceedings of the Digital Pathology - 15th European Congress, 2019

Deep Multi-view Features from Raw Audio for Acoustic Scene Classification.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images.

Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Partially-Independent Framework for Breast Cancer Histopathological Image Classification.

Vibha Gupta, Arnav Bhavsar

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.

Chandrakant Sonawane, Dipendra Pratap Singh, Raghav Sharma, Aditya Nigam, Arnav Bhavsar

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.

Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar

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.

Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Feature Importance for Human Epithelial (HEp-2) Cell Image Classification.

Vibha Gupta, Arnav Bhavsar

J. Imaging, 2018

Guided depth image reconstruction from very sparse measurements.

Chandra Shaker Balure, Arnav Bhavsar, M. Ramesh Kini

J. Electronic Imaging, 2018

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

Vibha Gupta, Arnav Bhavsar

CoRR, 2018

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

Srishti Gautam, Harinarayan K. K., O. U. Nirmal Jith, Anil Kumar Sao, Arnav Bhavsar, Adarsh Natarajan

CoRR, 2018

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

Kartik Gupta, Darius Burschka, Arnav Bhavsar

CoRR, 2018

Mitotic cells detection for HEp-2 specimen images using threshold-based evaluation scheme.

Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

CNN based segmentation of nuclei in PAP-smear images with selective pre-processing.

Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao, Harinarayan K. K.

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images.

Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar

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.

O. U. Nirmal Jith, K. K. Harinarayanan, Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

CNN-Based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images.

Shikha Gupta, Manjush Mangal, Akshay Mathew, Dileep Aroor Dinesh, Arnav Bhavsar, Veena Thenkanidiyoor

Proceedings of the Pattern Recognition Applications and Methods, 2018

MR-Srnet: Transformation of Low Field MR Images to High Field MR Images.

Prabhjot Kaur, Aditya Sharma, Aditya Nigam, Arnav Bhavsar

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

No Reference Evaluation in Super-Resolution for CCTV Footage.

Adit Chawdhary, Seema Kumari, Arnav Bhavsar, Rajesh Verma

Proceedings of the 13th IEEE International Conference on Industrial and Information Systems, 2018

A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.

Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the 26th European Signal Processing Conference, 2018

Sequential Modeling of Deep Features for Breast Cancer Histopathological Image Classification.

Vibha Gupta, Arnav Bhavsar

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Co-Detection in Images Using Saliency and Siamese Networks.

Milan Zinzuvadiya, Vatsalkumar Dhameliya, Sanjay Vaghela, Sahil Patki, Nirali R. Nanavati, Arnav Bhavsar

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.

Arjun Pankajakshan, Arnav Bhavsar

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.

Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam

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.

Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

CNN based Mitotic HEp-2 Cell Image Detection.

Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

Depth Map Restoration From Undersampled Data.

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao

IEEE Trans. Image Process., 2017

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

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao

Signal Process., 2017

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

Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar, Chiranjoy Chattopadhyay

CoRR, 2017

Patch Similarity in Transform Domain for Intensity/Range Image Denoising with Edge Preservation.

Seema Kumari, Srimanta Mandal, Arnav Bhavsar

Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

GMM Based Single Depth Image Super-Resolution.

Chandra Shaker Balure, M. Ramesh Kini, Arnav Bhavsar

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.

Tejas Lunawat, Suramya Gupta, Arnav Bhavsar

Proceedings of the Twenty-third National Conference on Communications, 2017

Local segment-based dense depth reconstruction from very sparsely sampled data.

Chandra Shaker Balure, Arnav Bhavsar, M. Ramesh Kini

Proceedings of the Twenty-third National Conference on Communications, 2017

Random Forest-Based Feature Importance for HEp-2 Cell Image Classification.

Vibha Gupta, Arnav Bhavsar

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Unsupervised Segmentation of Cervical Cell Nuclei via Adaptive Clustering.

Srishti Gautam, Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important?

Vibha Gupta, Apurva Singh, Kartikeya Sharma, Arnav Bhavsar

Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017

Breast Cancer Histopathological Image Classification: Is Magnification Important?

Vibha Gupta, Arnav Bhavsar

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.

Rahul Kumar, Ajay Kumar, Arnav Bhavsar

Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017

Temporal Activity Segmentation for Depth Cameras Using Joint Angle Variance Features.

Syed Jafar, Pranav Kumar Singh, Arnav Bhavsar

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.

Vibha Gupta, Arnav Bhavsar

Proceedings of the Computer Analysis of Images and Patterns, 2017

2016

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

Arnav Bhavsar

CoRR, 2016

Automated brain tractography segmentation using curvature points.

Vedang Patel, Anand Parmar, Arnav Bhavsar, Aditya Nigam

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Depth image super-resolution with local medians and bilateral filtering.

Chandra Shaker Balure, M. Ramesh Kini, Arnav Bhavsar

Proceedings of the 11th International Conference on Industrial and Information Systems, 2016

Single depth image super-resolution via high-frequency subbands enhancement and bilateral filtering.

Chandra Shaker Balure, M. Ramesh Kini, Arnav Bhavsar

Proceedings of the 11th International Conference on Industrial and Information Systems, 2016

Multi-scale image denoising while preserving edges in sparse domain.

Srimanta Mandal, Seema Kumari, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 6th European Workshop on Visual Information Processing, 2016

Hierarchical classification of HEP-2 cell images using class-specific features.

Vibha Gupta, Krati Gupta, Arnav Bhavsar, Anil Kumar Sao

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.

Kartik Gupta, Darius Burschka, Arnav Bhavsar

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.

Kartik Gupta, Arnav Bhavsar

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Human Action Recognition for Depth Cameras via Dynamic Frame Warping.

Kartik Gupta, Arnav Bhavsar

Proceedings of International Conference on Computer Vision and Image Processing, 2016

2015

Iterative solvers for image denoising with diffusion models: A comparative study.

Subit K. Jain, Rajendra K. Ray, Arnav Bhavsar

Comput. Math. Appl., 2015

A hierarchical class-grouping approach, and a study of classification strategies for leaf classification.

Ravinder Prajapati, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Mean-shift based segmentation of cell nuclei in cervical PAP-smear images.

Paridhi Agarwal, Anil Kumar Sao, Arnav Bhavsar

Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Class-specific hierarchical classification for HEP-2 specimen images.

Krati Gupta, Vibha Gupta, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Better Guiding the Guided Range Image Filter for Range-Image Super-resolution.

Mohit Yadav, Ram Garg, Arnav Bhavsar

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Enhancing Shape from Focus-Measure-Fusion and Sparse Representation.

Snehal Shete, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Super-resolving a Single Intensity/Range Image via Non-local Means and Sparse Representation.

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes.

Krati Gupta, Vibha Gupta, Anil Kumar Sao, Arnav Bhavsar, Aroor Dinesh Dileep

Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

Hierarchical example-based range-image super-resolution with edge-preservation.

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Motion-guided resolution enhancement for Lung 4D-CT.

Arnav Bhavsar, Guorong Wu, Dinggang Shen

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

A Comparative Study of Iterative Solvers for Image De-noising.

Subit K. Jain, Rajendra K. Ray, Arnav Bhavsar

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.

Arnav Bhavsar, Guorong Wu, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013