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2020 – today
- 2024
[j16]Ritu Kapur
, Yashwant Kumar, Ritik Sharma, Shivani Sharma, Eishkaran Singh, Dhruv Rohilla, Vikrant Kanwar, Bhupender Kumar, Arnav Bhavsar, Varun Dutt:
GlucoBreath: An IoT, ML, and Breath-Based Non-Invasive Glucose Meter. IEEE Access 12: 59346-59360 (2024)- [j15]Ranjeet Ranjan Jha, Arvind Muralie, Munish Daroch, Arnav Bhavsar, Aditya Nigam:
Enhancing Autism Spectrum Disorder identification in multi-site MRI imaging: A multi-head cross-attention and multi-context approach for addressing variability in un-harmonized data. Artif. Intell. Medicine 157: 102998 (2024) - [c88]Fiza Parveen, Arnav Bhavsar:
Wavelet Based Feature Extraction for Multi-Model Ensemble Approach for Mental Workload Classification Using EEG. BIOSTEC (1) 2024: 770-777 - [c87]Dapinder Kaur, Neeraj Battish, Arnav Bhavsar, Shashi Poddar:
YOLOv7E: An Attention-Based Improved YOLOv7 for the Detection of Unmanned Aerial Vehicles. ICPRAM 2024: 344-351 - [c86]Anurag Pandey, PushapDeep Singh, Arnav Bhavsar, Aditya Nigam, Divya Acharya:
OSRNet: Online Signature Recognition Network utilising Spatio-Temporal Features Extracted from Signature Video. IJCNN 2024: 1-8 - [c85]Sakshi Chauhan, Gitanshu Choudhary, Arnav Bhavsar, Varun Dutt:
Retention from ancient Indian scriptures: Evaluating VR-based storytelling against the traditional methods. PETRA 2024 - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [i21]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 abs/2401.17711 (2024) - [i20]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 abs/2402.00090 (2024) - [i19]Rahul Mishra, Arnav Bhavsar:
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN. CoRR abs/2402.10115 (2024) - [i18]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 abs/2404.09147 (2024) - [i17]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 abs/2405.06467 (2024) - [i16]Akanksha Sharma, Jyoti Nigam, Abhishek Rathore, Arnav Bhavsar:
EEG classification for visual brain decoding with spatio-temporal and transformer based paradigms. CoRR abs/2406.07153 (2024) - [i15]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 abs/2407.02968 (2024) - 2023
- [j14]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: 107339 (2023) - [j13]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: 102806 (2023) - [j12]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): 9181-9192 (2023) - [c80]Hrishikesh Tiwary, Arnav Bhavsar:
Anti-seizure Medication Classification using EEG signals via Attention-based CNN. CBMS 2023: 605-610 - [c79]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: 1-5 - [c78]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: 720-727 - [c77]Fiza Parveen, Arnav Bhavsar:
Attention based 1D-CNN for Mental Workload Classification using EEG. PETRA 2023: 739-745 - [c76]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: 760-765 - [c75]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: 780-786 - 2022
- [j11]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): 2405-2421 (2022) - [c74]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: 168-173 - [c73]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: 337-341 - [c72]Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar:
Perusal of Camera Trap Sequences Across Locations. ICPRAM (Revised Selected Papers) 2022: 152-174 - [c71]Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar:
Sieving Camera Trap Sequences in the Wild. ICPRAM 2022: 470-479 - [c70]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: 1-5 - [c69]Rahul Mishra, Krishan Sharma, Arnav Bhavsar:
Reconstruction of visual stimulus from the EEG recordings via generative adversarial network. Medical Imaging: Image Processing 2022 - [c68]Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar:
Fine Grained Few-Shot Classification with Contrastive Clues. MLSP 2022: 1-6 - [c67]Hrishikesh Tiwary, Piyus Rout, Arnav Bhavsar:
Deep Learning with Spatial and Channel Attention for Epileptic Seizure Type Classification Using Frequency Characterization. MLSP 2022: 1-6 - [i14]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 abs/2201.00404 (2022) - [i13]Sruthi Krishna, Suganthi S. S, Shivsubramani Krishnamoorthy, Arnav Bhavsar:
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection. CoRR abs/2201.00957 (2022) - [i12]Ankit Katiyar, Arnav Bhavsar:
Image Forgery Detection with Interpretability. CoRR abs/2202.00908 (2022) - 2021
- [j10]Vibha Gupta, Arnav Bhavsar:
Heterogeneous ensemble with information theoretic diversity measure for human epithelial cell image classification. Medical Biol. Eng. Comput. 59(5): 1035-1054 (2021) - [c66]Hrishikesh Tiwary, Arnav Bhavsar:
Time-Frequency Representations for EEG Artifact Classification with CNNs. AIPR 2021: 1-8 - [c65]Aditya Sarkar, Arnav Bhavsar:
Virtual Screening of Pharmaceutical Compounds with hERG Inhibitory Activity (Cardiotoxicity) using Ensemble Learning. BIOIMAGING 2021: 152-159 - [c64]Rahul Mishra, Arnav Bhavsar:
EEG Classification for Visual Brain Decoding via Metric Learning. BIOIMAGING 2021: 160-167 - [c63]Rahul Mishra, Krishan Sharma, Arnav Bhavsar:
Visual Brain Decoding for Short Duration EEG Signals. EUSIPCO 2021: 1226-1230 - [c62]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: 1103-1106 - [i11]Aditya Sarkar, Arnav Bhavsar:
Virtual Screening of Pharmaceutical Compounds with hERG Inhibitory Activity (Cardiotoxicity) using Ensemble Learning. CoRR abs/2106.04377 (2021) - 2020
- [j9]Pankaj Kumar 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): 471-482 (2020) - [j8]Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar:
SVD-based redundancy removal in 1-D CNNs for acoustic scene classification. Pattern Recognit. Lett. 131: 383-389 (2020) - [c61]Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, Aditya Nigam:
Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention. ACCV (5) 2020: 600-616 - [c60]Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images. CBMS 2020: 110-113 - [c59]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: 398-406 - [c58]Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao:
Effectiveness of GAN-based Synthetic Samples Generation of Minority Patterns in HEp-2 Cell Images*. EMBC 2020: 1376-1379 - [c57]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: 1709-1713 - [c56]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: 1-7 - [c55]Akash Kumar, Arnav Bhavsar, Rajesh Verma:
Detecting Deepfakes with Metric Learning. IWBF 2020: 1-6 - [c54]Akash Kumar, Arnav Bhavsar, Rajesh Verma:
Syn2Real: Forgery Classification via Unsupervised Domain Adaptation. WACV Workshops 2020: 63-70 - [i10]Akash Kumar, Arnav Bhavasar:
Syn2Real: Forgery Classification via Unsupervised Domain Adaptation. CoRR abs/2002.00807 (2020) - [i9]Akash Kumar, Arnav Bhavsar:
Detecting Deepfakes with Metric Learning. CoRR abs/2003.08645 (2020) - [i8]Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Semantic Features Aided Multi-Scale Reconstruction of Inter-Modality Magnetic Resonance Images. CoRR abs/2006.12585 (2020)
2010 – 2019
- 2019
- [j7]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) - [j6]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): 1654-1683 (2019) - [c53]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: 193-205 - [c52]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: 459-469 - [c51]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: 564-575 - [c50]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: 1080-1086 - [c49]Vibha Gupta, Arnav Bhavsar:
Partially-Independent Framework for Breast Cancer Histopathological Image Classification. CVPR Workshops 2019: 1123-1130 - [c48]Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar:
Deep Multi-view Features from Raw Audio for Acoustic Scene Classification. DCASE 2019: 229-233 - [c47]Vibha Gupta, Arnav Bhavsar:
An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features. ECDP 2019: 172-180 - [c46]Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar:
Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps. ICASSP 2019: 820-824 - [c45]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: 340-344 - [i7]Akash Kumar, Arnav Bhavsar:
Copy-Move Forgery Classification via Unsupervised Domain Adaptation. CoRR abs/1911.07932 (2019) - 2018
- [j5]Chandra Shaker Balure, Arnav Bhavsar, M. Ramesh Kini:
Guided depth image reconstruction from very sparse measurements. J. Electronic Imaging 27(05): 053016 (2018) - [j4]Vibha Gupta, Arnav Bhavsar:
Feature Importance for Human Epithelial (HEp-2) Cell Image Classification. J. Imaging 4(3): 46 (2018) - [c44]Krati Gupta, Arnav Bhavsar, Anil Kumar Sao:
CNN based Mitotic HEp-2 Cell Image Detection. BIOIMAGING 2018: 167-174 - [c43]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: 344-347 - [c42]Arjun Pankajakshan, Arnav Bhavsar:
Faster RCNN-CNN-Based Joint Model for Bird Part Localization in Images. CVIP (2) 2018: 197-212 - [c41]Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam:
Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network. CVIP (2) 2018: 325-337 - [c40]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: 351-362 - [c39]Vibha Gupta, Arnav Bhavsar:
Sequential Modeling of Deep Features for Breast Cancer Histopathological Image Classification. CVPR Workshops 2018: 2254-2261 - [c38]Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar:
A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification. EUSIPCO 2018: 837-841 - [c37]Adit Chawdhary, Seema Kumari, Arnav Bhavsar, Rajesh Verma:
No Reference Evaluation in Super-Resolution for CCTV Footage. ICIIS 2018: 107-112 - [c36]Prabhjot Kaur, Aditya Sharma, Aditya Nigam, Arnav Bhavsar:
MR-Srnet: Transformation of Low Field MR Images to High Field MR Images. ICIP 2018: 2057-2061 - [c35]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: 44-64 - [c34]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: 86-94 - [c33]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: 245-253 - [c32]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: 105810X - [c31]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: 105810F - [i6]Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images. CoRR abs/1806.06886 (2018) - [i5]Kartik Gupta, Darius Burschka, Arnav Bhavsar:
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints. CoRR abs/1806.07574 (2018) - [i4]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 abs/1806.09025 (2018) - [i3]Vibha Gupta, Arnav Bhavsar:
Role of Class-specific Features in Various Classification Frameworks for Human Epithelial (HEp-2) Cell Images. CoRR abs/1810.12690 (2018) - 2017
- [j3]Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao:
Noise adaptive super-resolution from single image via non-local mean and sparse representation. Signal Process. 132: 134-149 (2017) - [j2]Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao:
Depth Map Restoration From Undersampled Data. IEEE Trans. Image Process. 26(1): 119-134 (2017) - [c30]Vibha Gupta, Arnav Bhavsar:
An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification with Joint Colour-Texture Features. CAIP (2) 2017: 354-366 - [c29]Syed Jafar, Pranav Kumar Singh, Arnav Bhavsar:
Temporal Activity Segmentation for Depth Cameras Using Joint Angle Variance Features. CVIP (2) 2017: 339-351 - [c28]Rahul Kumar, Ajay Kumar, Arnav Bhavsar:
Bird Region Detection in Images with Multi-scale HOG Features and SVM Scoring. CVIP (2) 2017: 353-364 - [c27]Vibha Gupta, Arnav Bhavsar:
Breast Cancer Histopathological Image Classification: Is Magnification Important? CVPR Workshops 2017: 769-776 - [c26]Vibha Gupta, Apurva Singh, Kartikeya Sharma, Arnav Bhavsar:
Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important? CARE/CLIP@MICCAI 2017: 160-169 - [c25]Srishti Gautam, Krati Gupta, Arnav Bhavsar, Anil Kumar Sao:
Unsupervised Segmentation of Cervical Cell Nuclei via Adaptive Clustering. MIUA 2017: 815-826 - [c24]Vibha Gupta, Arnav Bhavsar:
Random Forest-Based Feature Importance for HEp-2 Cell Image Classification. MIUA 2017: 922-934 - [c23]Chandra Shaker Balure, Arnav Bhavsar, M. Ramesh Kini:
Local segment-based dense depth reconstruction from very sparsely sampled data. NCC 2017: 1-6 - [c22]Tejas Lunawat, Suramya Gupta, Arnav Bhavsar:
A study of interdependence between vessel enhancement and registration for lung 4D-CT. NCC 2017: 1-6 - [c21]Chandra Shaker Balure, M. Ramesh Kini, Arnav Bhavsar:
GMM Based Single Depth Image Super-Resolution. NCVPRIPG 2017: 245-256 - [c20]Seema Kumari, Srimanta Mandal, Arnav Bhavsar:
Patch Similarity in Transform Domain for Intensity/Range Image Denoising with Edge Preservation. NCVPRIPG 2017: 257-268 - [i2]Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar, Chiranjoy Chattopadhyay:
Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation. CoRR abs/1712.09792 (2017) - 2016
- [c19]Kartik Gupta, Arnav Bhavsar:
Human Action Recognition for Depth Cameras via Dynamic Frame Warping. CVIP (2) 2016: 127-137 - [c18]Kartik Gupta, Arnav Bhavsar:
Scale Invariant Human Action Detection from Depth Cameras Using Class Templates. CVPR Workshops 2016: 304-311 - [c17]Kartik Gupta, Darius Burschka, Arnav Bhavsar:
Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions. CVPR Workshops 2016: 1232-1239 - [c16]Vibha Gupta, Krati Gupta, Arnav Bhavsar, Anil Kumar Sao:
Hierarchical classification of HEP-2 cell images using class-specific features. EUVIP 2016: 1-6 - [c15]Srimanta Mandal, Seema Kumari, Arnav Bhavsar, Anil Kumar Sao:
Multi-scale image denoising while preserving edges in sparse domain. EUVIP 2016: 1-6 - [c14]Chandra Shaker Balure, M. Ramesh Kini, Arnav Bhavsar:
Single depth image super-resolution via high-frequency subbands enhancement and bilateral filtering. ICIIS 2016: 523-528 - [c13]Chandra Shaker Balure, M. Ramesh Kini, Arnav Bhavsar:
Depth image super-resolution with local medians and bilateral filtering. ICIIS 2016: 877-882 - [c12]Vedang Patel, Anand Parmar, Arnav Bhavsar, Aditya Nigam:
Automated brain tractography segmentation using curvature points. ICVGIP 2016: 18:1-18:6 - [i1]Arnav Bhavsar:
Shape Estimation from Defocus Cue for Microscopy Images via Belief Propagation. CoRR abs/1612.09411 (2016) - 2015
- [j1]Subit K. Jain, Rajendra K. Ray, Arnav Bhavsar:
Iterative solvers for image denoising with diffusion models: A comparative study. Comput. Math. Appl. 70(3): 191-211 (2015) - [c11]Krati Gupta, Vibha Gupta, Arnav Bhavsar, Anil Kumar Sao:
Class-specific hierarchical classification for HEP-2 specimen images. ICIP 2015: 641-645 - [c10]Paridhi Agarwal, Anil Kumar Sao, Arnav Bhavsar:
Mean-shift based segmentation of cell nuclei in cervical PAP-smear images. NCVPRIPG 2015: 1-4 - [c9]Ravinder Prajapati, Arnav Bhavsar, Anil Kumar Sao:
A hierarchical class-grouping approach, and a study of classification strategies for leaf classification. NCVPRIPG 2015: 1-4 - 2014
- [c8]Subit K. Jain, Rajendra K. Ray, Arnav Bhavsar:
A Comparative Study of Iterative Solvers for Image De-noising. FICTA (2) 2014: 307-314 - [c7]Arnav Bhavsar, Guorong Wu, Dinggang Shen:
Motion-guided resolution enhancement for Lung 4D-CT. ICARCV 2014: 334-339 - [c6]Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao:
Hierarchical example-based range-image super-resolution with edge-preservation. ICIP 2014: 3867-3871 - [c5]Krati Gupta, Vibha Gupta, Anil Kumar Sao, Arnav Bhavsar, Aroor Dinesh Dileep:
Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes. I3A@ICPR 2014: 6-9 - [c4]Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao:
Super-resolving a Single Intensity/Range Image via Non-local Means and Sparse Representation. ICVGIP 2014: 58:1-58:8 - [c3]Snehal Shete, Arnav Bhavsar, Anil Kumar Sao:
Enhancing Shape from Focus-Measure-Fusion and Sparse Representation. ICVGIP 2014: 59:1-59:8 - [c2]Mohit Yadav, Ram Garg, Arnav Bhavsar:
Better Guiding the Guided Range Image Filter for Range-Image Super-resolution. ICVGIP 2014: 62:1-62:8 - 2013
- [c1]Arnav Bhavsar, Guorong Wu, Dinggang Shen:
Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT. MICCAI (3) 2013: 139-146
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-31 21:07 CET by the dblp team
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