Arnav Bhavsar

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 109

Top Venues

Publications

Akanksha Sharma, Jyoti Nigam, Abhishek Rathore, Arnav Bhavsar
EEG classification for visual brain decoding with spatio-temporal and transformer based paradigms. CoRR (2024)
Sushovan Jena, Vishwas Saini, Ujjwal Shaw, Pavitra Jain, Abhay Singh Raihal, Anoushka Banerjee, Sharad Joshi, Ananth Ganesh, Arnav Bhavsar
Attend, Distill, Detect: Attention-aware Entropy Distillation for Anomaly Detection. CoRR (2024)
Sushovan Jena, Arya Pulkit, Kajal Singh, Anoushka Banerjee, Sharad Joshi, Ananth Ganesh, Dinesh Singh, Arnav Bhavsar
Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization. CoRR (2024)
Sakshi Chauhan, Gitanshu Choudhary, Arnav Bhavsar, Varun Dutt
Retention from ancient Indian scriptures: Evaluating VR-based storytelling against the traditional methods. PETRA (2024)
Sagnik Ghosh, Kirti Tripathi, Ankita Garg, Dinesh Singh, Amit Prasad, Arnav Bhavsar, Varun Dutt
Predicting Stress among Students via Psychometric Assessments and Machine Learning. PETRA (2024)
Ritu Kapur, Ritik Sharma, Vikrant Kanwar, Arnav Bhavsar, Varun Dutt
SugarControl: An Integrative Mobile App for Type 2 Diabetes Management through Yoga Meditation and Lifestyle Interventions. PETRA (2024)
Akash K. Rao, Arnav Bhavsar, Shubhajit Roy Chowdhury, Sushil Chandra, Ramsingh Negi, Prakash Duraisamy, Varun Dutt
Evaluating the efficacy of haptic feedback, 360° treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation. CoRR (2024)
Akash K. Rao, Vishnu K. Menon, Arnav Bhavsar, Shubhajit Roy Chowdhury, Ramsingh Negi, Varun Dutt
Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods. CoRR (2024)
Kirti Tripathi, Srishti Swaroop, Ankush Arya, Divyansh Pandey, Arnav Bhavsar, Varun Dutt
Exploring the Effects of Yoga on Self-Esteem and Emotional Well-Being in Stressed College Students: A Randomized Controlled Trial. PETRA (2024)
Fiza Parveen, Arnav Bhavsar
Wavelet Based Feature Extraction for Multi-Model Ensemble Approach for Mental Workload Classification Using EEG. BIOSTEC (1) (2024)
Dapinder Kaur, Neeraj Battish, Arnav Bhavsar, Shashi Poddar
YOLOv7E: An Attention-Based Improved YOLOv7 for the Detection of Unmanned Aerial Vehicles. ICPRAM (2024)
Akash K. Rao, Shashank Uttrani, Vishnu K. Menon, Darshil Shah, Arnav Bhavsar, Shubhajit Roy Chowdhury, Varun Dutt
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods. CoRR (2024)
Akash K. Rao, Vishnu K. Menon, Darshil Shah, Arnav Bhavsar, Varun Dutt
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods. PETRA (2024)
Rahul Mishra, Arnav Bhavsar
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN. CoRR (2024)
Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Arnav Bhavsar, Aditya Nigam
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules. Medical Image Anal. 87 (2023)
Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
PA-GAN: Parallel Attention Based Gan for Enhancement of FODF. ISBI (2023)
Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Walter Schneider, Arnav Bhavsar, Aditya Nigam
Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver. Comput. Methods Programs Biomed. 230 (2023)
Hrishikesh Tiwary, Arnav Bhavsar
Anti-seizure Medication Classification using EEG signals via Attention-based CNN. CBMS (2023)
Akash K. Rao, Zoha Fatma, Vishnu K. Menon, Arnav Bhavsar, Shubhajit Roy Chowdhury, Sushil Chandra, Varun Dutt, Kulbhushan Chand
Prediction of decision-making performance post-longitudinal tDCS administration via EEG features and machine learning. PETRA (2023)
Darshil Shah, Akash K. Rao, Arnav Bhavsar, Shubhajit Roy Chowdhury, Sushil Chandra, Varun Dutt
Does longitudinal, anodal tDCS improve working memory? A behavioral investigation: tDCS and Working Memory. PETRA (2023)
Gaurav Jaswal, Geetanjali Sharma, Varun Dutt, Arnav Bhavsar
Learning channel attention for decoding of visual imagined text from multi-band EEG using metric learning. PETRA (2023)
Rahul Mishra, Krishan Sharma, Ranjeet Ranjan Jha, Arnav Bhavsar
NeuroGAN: image reconstruction from EEG signals via an attention-based GAN. Neural Comput. Appl. 35 (12) (2023)
Fiza Parveen, Arnav Bhavsar
Attention based 1D-CNN for Mental Workload Classification using EEG. PETRA (2023)
Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar
Sieving Camera Trap Sequences in the Wild. ICPRAM (2022)
Ankit Katiyar, Arnav Bhavsar
Image Forgery Detection with Interpretability. CoRR (2022)
Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar
Perusal of Camera Trap Sequences Across Locations. ICPRAM (Revised Selected Papers) (2022)
Sruthi Krishna, Suganthi S. S, Shivsubramani Krishnamoorthy, Arnav Bhavsar
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection. CoRR (2022)
Ranjeet Ranjan Jha, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention. ISBI (2022)
Krati Gupta, Arnav Bhavsar, Anil Kumar Sao
Detection of mitotic HEp-2 cell images: role of feature representation and classification framework under class skew. Medical Biol. Eng. Comput. 60 (8) (2022)
Ninad Anklesaria, Yashvi Malu, Dhyey Nikalwala, Urmi Pathak, Jinal Patel, Nirali R. Nanavati, Preethi Srinivasan, Arnav Bhavsar
Multi Modality Medical Image Translation for Dicom Brain Images. BIOIMAGING (2022)
Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules. CoRR (2022)
Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam
MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules. EMBC (2022)
Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar
Fine Grained Few-Shot Classification with Contrastive Clues. MLSP (2022)
Rahul Mishra, Krishan Sharma, Arnav Bhavsar
Reconstruction of visual stimulus from the EEG recordings via generative adversarial network. Medical Imaging: Image Processing (2022)
Hrishikesh Tiwary, Piyus Rout, Arnav Bhavsar
Deep Learning with Spatial and Channel Attention for Epileptic Seizure Type Classification Using Frequency Characterization. MLSP (2022)
Hrishikesh Tiwary, Arnav Bhavsar
Time-Frequency Representations for EEG Artifact Classification with CNNs. AIPR (2021)
Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam
Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN. ISBI (2021)
Aditya Sarkar, Arnav Bhavsar
Virtual Screening of Pharmaceutical Compounds with hERG Inhibitory Activity (Cardiotoxicity) using Ensemble Learning. CoRR (2021)
Rahul Mishra, Arnav Bhavsar
EEG Classification for Visual Brain Decoding via Metric Learning. BIOIMAGING (2021)
Aditya Sarkar, Arnav Bhavsar
Virtual Screening of Pharmaceutical Compounds with hERG Inhibitory Activity (Cardiotoxicity) using Ensemble Learning. BIOIMAGING (2021)
Rahul Mishra, Krishan Sharma, Arnav Bhavsar
Visual Brain Decoding for Short Duration EEG Signals. EUSIPCO (2021)
Vibha Gupta, Arnav Bhavsar
Heterogeneous ensemble with information theoretic diversity measure for human epithelial cell image classification. Medical Biol. Eng. Comput. 59 (5) (2021)
Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images. CBMS (2020)
Akash Kumar, Arnav Bhavsar
Detecting Deepfakes with Metric Learning. CoRR (2020)
Pankaj K. Jain, Saurabh Gupta, Arnav Bhavsar, Aditya Nigam, Neeraj Sharma
Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach. Medical Biol. Eng. Comput. 58 (3) (2020)
Akash Kumar, Arnav Bhavsar, Rajesh Verma
Detecting Deepfakes with Metric Learning. IWBF (2020)
Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Sudhir K. Pathak, Walter Schneider, Rathish Kumar
Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net). EMBC (2020)
Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar
HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD. IJCNN (2020)
Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar
SVD-based redundancy removal in 1-D CNNs for acoustic scene classification. Pattern Recognit. Lett. 131 (2020)
Akash Kumar, Arnav Bhavsar, Rajesh Verma
Syn2Real: Forgery Classification via Unsupervised Domain Adaptation. WACV Workshops (2020)
Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao
. EMBC (2020)
Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Semantic Features Aided Multi-Scale Reconstruction of Inter-Modality Magnetic Resonance Images. CoRR (2020)
Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, Aditya Nigam
Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention. ACCV (5) (2020)
Muhammad Ubadah, Kishore K. Singh, Anil Kumar Sao, Arnav Bhavsar, Shuchi Bhagi, Amit Alok, N. K. Chaudhury
Automated Scoring of Metaphase Cell Images and Identification of Dicentric Chromosomes. CVIP (1) (2020)
Vibha Gupta, Arnav Bhavsar
An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features. ECDP (2019)
Chandrakant Sonawane, Dipendra Pratap Singh, Raghav Sharma, Aditya Nigam, Arnav Bhavsar
Fabric Classification and Matching Using CNN and Siamese Network for E-commerce. CAIP (2) (2019)
Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar
Deep Multi-view Features from Raw Audio for Acoustic Scene Classification. DCASE (2019)
Krati Gupta, Arnav Bhavsar, Anil Kumar Sao
Detecting mitotic cells in HEp-2 images as anomalies via one class classifier. Comput. Biol. Medicine 111 (2019)
Vibha Gupta, Arnav Bhavsar
Partially-Independent Framework for Breast Cancer Histopathological Image Classification. CVPR Workshops (2019)
Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar
Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps. ICASSP (2019)
Subit K. Jain, Rajendra K. Ray, Arnav Bhavsar
A Nonlinear Coupled Diffusion System for Image Despeckling and Application to Ultrasound Images. Circuits Syst. Signal Process. 38 (4) (2019)
Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar
FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network. CAIP (2) (2019)
Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam
AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass. ICIP (2019)
Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao
Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images. CVPR Workshops (2019)
Krati Gupta, Arnav Bhavsar, Anil Kumar Sao
A CNN Based HEp-2 Specimen Image Segmentation and Identification of Mitotic Spindle Type Specimens. CAIP (1) (2019)
Akash Kumar, Arnav Bhavsar
Copy-Move Forgery Classification via Unsupervised Domain Adaptation. CoRR (2019)
Milan Zinzuvadiya, Vatsalkumar Dhameliya, Sanjay Vaghela, Sahil Patki, Nirali R. Nanavati, Arnav Bhavsar
Co-Detection in Images Using Saliency and Siamese Networks. CVIP (2) (2018)
Vibha Gupta, Arnav Bhavsar
Feature Importance for Human Epithelial (HEp-2) Cell Image Classification. J. Imaging 4 (3) (2018)
Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images. CoRR (2018)
Chandra Shaker Balure, Arnav Bhavsar, M. Ramesh Kini
Guided depth image reconstruction from very sparse measurements. J. Electronic Imaging 27 (05) (2018)
Vibha Gupta, Arnav Bhavsar
Role of Class-specific Features in Various Classification Frameworks for Human Epithelial (HEp-2) Cell Images. CoRR (2018)
Krati Gupta, Arnav Bhavsar, Anil Kumar Sao
CNN based Mitotic HEp-2 Cell Image Detection. BIOIMAGING (2018)
Shikha Gupta, Manjush Mangal, Akshay Mathew, Dileep Aroor Dinesh, Arnav Bhavsar, Veena Thenkanidiyoor
CNN-Based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images. ICPRAM (Revised Selected Papers) (2018)
Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao, Harinarayan K. K.
CNN based segmentation of nuclei in PAP-smear images with selective pre-processing. Medical Imaging: Digital Pathology (2018)
Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images. DLMIA/ML-CDS@MICCAI (2018)
Prabhjot Kaur, Aditya Sharma, Aditya Nigam, Arnav Bhavsar
MR-Srnet: Transformation of Low Field MR Images to High Field MR Images. ICIP (2018)
Adit Chawdhary, Seema Kumari, Arnav Bhavsar, Rajesh Verma
No Reference Evaluation in Super-Resolution for CCTV Footage. ICIIS (2018)
Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam
Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network. CVIP (2) (2018)
Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar
A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification. EUSIPCO (2018)
Srishti Gautam, Harinarayan K. K., O. U. Nirmal Jith, Anil Kumar Sao, Arnav Bhavsar, Adarsh Natarajan
Considerations for a PAP Smear Image Analysis System with CNN Features. CoRR (2018)
Krati Gupta, Arnav Bhavsar, Anil Kumar Sao
Mitotic cells detection for HEp-2 specimen images using threshold-based evaluation scheme. Medical Imaging: Digital Pathology (2018)
Krati Gupta, Arnav Bhavsar, Anil Kumar Sao
Mitotic v/s non-mitotic HEp-2 cells classification for CAD based auto-immune disorder detection: a study using CNN. COMAD/CODS (2018)
Kartik Gupta, Darius Burschka, Arnav Bhavsar
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints. CoRR (2018)
O. U. Nirmal Jith, K. K. Harinarayanan, Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao
DeepCerv: Deep Neural Network for Segmentation Free Robust Cervical Cell Classification. COMPAY/OMIA@MICCAI (2018)
Vibha Gupta, Arnav Bhavsar
Sequential Modeling of Deep Features for Breast Cancer Histopathological Image Classification. CVPR Workshops (2018)
Arjun Pankajakshan, Arnav Bhavsar
Faster RCNN-CNN-Based Joint Model for Bird Part Localization in Images. CVIP (2) (2018)
Seema Kumari, Srimanta Mandal, Arnav Bhavsar
Patch Similarity in Transform Domain for Intensity/Range Image Denoising with Edge Preservation. NCVPRIPG (2017)
Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar, Chiranjoy Chattopadhyay
Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation. CoRR (2017)
Srishti Gautam, Krati Gupta, Arnav Bhavsar, Anil Kumar Sao
Unsupervised Segmentation of Cervical Cell Nuclei via Adaptive Clustering. MIUA (2017)
Chandra Shaker Balure, M. Ramesh Kini, Arnav Bhavsar
GMM Based Single Depth Image Super-Resolution. NCVPRIPG (2017)
Rahul Kumar, Ajay Kumar, Arnav Bhavsar
Bird Region Detection in Images with Multi-scale HOG Features and SVM Scoring. CVIP (2) (2017)
Vibha Gupta, Apurva Singh, Kartikeya Sharma, Arnav Bhavsar
Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important? CARE/CLIP@MICCAI (2017)
Vibha Gupta, Arnav Bhavsar
Breast Cancer Histopathological Image Classification: Is Magnification Important? CVPR Workshops (2017)
Vibha Gupta, Arnav Bhavsar
Random Forest-Based Feature Importance for HEp-2 Cell Image Classification. MIUA (2017)
Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao
Noise adaptive super-resolution from single image via non-local mean and sparse representation. Signal Process. 132 (2017)
Syed Jafar, Pranav Kumar Singh, Arnav Bhavsar
Temporal Activity Segmentation for Depth Cameras Using Joint Angle Variance Features. CVIP (2) (2017)
Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao
Depth Map Restoration From Undersampled Data. IEEE Trans. Image Process. 26 (1) (2017)
Vibha Gupta, Arnav Bhavsar
An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification with Joint Colour-Texture Features. CAIP (2) (2017)
Chandra Shaker Balure, Arnav Bhavsar, M. Ramesh Kini
Local segment-based dense depth reconstruction from very sparsely sampled data. NCC (2017)
Tejas Lunawat, Suramya Gupta, Arnav Bhavsar
A study of interdependence between vessel enhancement and registration for lung 4D-CT. NCC (2017)

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Publication Activity (10 Years)

Top Topics

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Arnav Bhavsar