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Arnav Bhavsar
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2020 – today
- 2024
- [c87]Fiza Parveen, Arnav Bhavsar:
Wavelet Based Feature Extraction for Multi-Model Ensemble Approach for Mental Workload Classification Using EEG. BIOSTEC (1) 2024: 770-777 - [c86]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 - [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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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-15 23:42 CEST by the dblp team
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