Arnav Bhavsar

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Phone: 01905-267115
EMail: arnav[at]iitmandi[dot]ac[dot]in
Address: School of Computing and Electrical Engineering
Indian Institute of Technology Mandi
Kamand, Mandi (Himachal Pradesh) - 175005
India

Research interests

  • Computer vision, Medical image analysis, Machine learning, Deep learning

Teaching

  • Signals and Systems
  • Digital Signal Processing
  • Computer Vision
  • Digital Image Processing
  • Network Theory
  • Probability and Random Processes
  • Pattern Recognition
  • Data Handling and Visualization
  • Data Science Lab
  • Reverse Engg. (coordinator)
  • Design Practicum (coordinator and team mentor)
  • Interdisciplinary Socio-Technical Practicum (team mentor)

Education

  • Ph.D., Electrical Engg., Indian Institute of Technology Madras, India, 2011
  • B.E., Electronics and Communication Engg., Sardar Patel University, India, 2004

Work Experience

  • Postdoctoral research associate, University of North Carolina, Chapel Hill, USA, 2012-2013
  • Postdoctoral fellow, GE Global Research, Bangalore, India, 2011-2012

Professional Services

  • Reviewing for international journals (Selected list):
    Review Editor: Frontiers Neuroscience
    Review Editor: Frontiers Radiology
    IEEE Trans. on Image Processing (IEEE)
    IEEE Trans. on Industrial Electronics (IEEE)
    IEEE Trans. on Medical Imaging (IEEE)
    IET Computer Vision (IET)
    Computer Vision and Image Understanding (Elsevier)
    Computer Methods and Programs in Biomedicine (Elsevier)
    Image and Vision Computing (Elsevier)
    Pattern Recognition Letters (Elsevier)
    Signal Processing (Elsevier)
    Journal of Visual Communication and Image Representation (Elsevier)
    Information Fusion (Elsevier)
    Optical Engineering (SPIE)
    Journal of Biophotonics (Wiley)
    Proceedings of the National Academy of Sciences, India Section A: Physical Sciences
    Journal of The Institution of Engineers (India): Series B
    International Journal of Image and Graphics
    International Journal of Computers and their Applications (ISCA)

  • Reviewing for international and national conferences (Selected list):
    CVPR, ICCV, ACCV, ECCV, BMVC, MICCAI, MIDL, ISBI, CVMI SPCOM, NCC, ICVGIP, CVIP

Projects

  1. AI Powered Healthcare Project - Chowis Co. Ltd., South Korea (2021 - 2022) (PI)
  2. An end-to-end computational pipeline for analyzing diffusion weighted images for Indian clinical scenarios - SERB (2021 - 2024) (co-PI)
  3. A low-cost MEMS-based and video-based monitoring and early warning system for rainfall-induced landslides - DST, NRDMS (2020 - 2023) (co-PI)
  4. Human performance enhancement via tDCS in VR and performance foreca sting via machine learning methods - INMAS, DRDO (2020 - 2023) (co-PI)
  5. Replicating human cognitive behavior on robots models using ACT-R cognitive architecture for search-and-retrieve mission in virtual environments - CAIR, DRDO (2021 - 2023) (co-PI)
  6. LakshmanRekha: AI- biometric driven home quarantine management application using mobile based continuous recognition and geofencing - IIT Jodhpur (2020 - 2021) (co-PI)
  7. Multimodal Bird Analytics - NMHS (2019 - 2021) (co-PI)
  8. Development of digital forensic tools - HP State Govt. (2017 - 2020) (PI)
  9. Development Image analysis for biodosimetry applications - INMAS, DRDO (2018 - 2019) (co-PI)
  10. Low-cost MRI - seed funding from IIT Mandi (2016 - 2018) (co-PI)
  11. Mulitmodal bird identification - IIT Mandi seed grant (2015 - 2018) (co-PI)
  12. Image analysis for cervical cancer diagnosis - AIndra Pvt. Ltd. (2015 - 2017) (co-PI)
  13. DST INSPIRE research grant - DST INSPIRE (2014 - 2019) (PI)

Awards and Other saliences

  1. Student travel grant from Microsoft Research India, for participating in BMVC 2010, UK
  2. Student travel grant from IIT Madras for participating in DAGM 2010, Germany

Publications


Journal publications
  1. K Gupta, A. Bhavsar, A. Sao "Detection of Mitotic HEp-2 Cell Images: Role of Feature Representation, and Classification Framework Under Class Skew." Medical and Biological Engg. and Computing, 60, 2022.

  2. R. Jha, S. Pathak, V. Nath, W. Schneider, B.V. Rathish Kumar, A. Bhavsar, A. Nigam. "VRfRNet: Volumetric ROI fODF Reconstruction Network for estimation of Multi-Tissue Constrained Spherical Deconvolution with only Single Shell dMRI?." Magnetic Resonance Imaging, 90, 2022.

  3. R. Jha, G. Jaswal, A. Bhavsar, A. Nigam. "Single-shell to multi-shell dMRI transformation using spatial and volumetric multilevel hierarchical reconstruction framework." Magnetic Resonance Imaging, 87, 2022.

  4. R. Verma, N. Bhardwaj, A. Bhavsar, K. Krishan. "Towards facial recognition using likelihood ratio approach to facial landmark indices from images." Forensic Science International: Reports, 5, 2022.

  5. R. Verma, N. Bhardwaj, P. Singh, A. Bhavsar, V. Sharma. "Estimation of sex through morphometric landmark indices in facial images with strength of evidence in logistic regression analysis." Forensic Science International: Reports, 4, 2021.

  6. V. Gupta, A. Bhavsar. "Heterogeneous ensemble with information theoretic diversity measure for human epithelial cell image classification." Medical and Biological Engg. and Computing, 59, 2021.

  7. K. Gupta, A. Bhavsar, A. Sao. "Identification of HEp-2 Specimen Images with Mitotic Cell Patterns." Biocybernetics and Biomedical Engineering, 40(3), 2020.

  8. A. Singh, P. Rajan, A. Bhavsar. "SVD-based redundancy removal in 1-D CNNs for acoustic scene classification." Pattern Recognition Letters, 131, 2020.

  9. P. Jain, S. Gupta, A. Bhavsar, A. Nigam, N. Sharma. "Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: A deep learning approach." Medical and Biological Engineering and Computing, 58, 2020.

  10. A. Singh, N. Yadav, A. Bhavsar, A. Bhat, S. Raghuvanshi. "Deep Machine Learning in Healthcare: Prognosis to Diagnosis" Journal of Critical Reviews, 7(19), 2020 .

  11. K. Gupta, A. Bhavsar, A. Sao. "Detecting mitotic cells in HEp-2 images as anomalies via one class classifier." Computers in Biology and Medicine, 111, 2019.

  12. C. Balure, A. Bhavsar, R. Kini. "Guided depth image reconstruction from very sparse measurements". Journal of Electronic Imaging, 27(5), 2018.

  13. S. Jain, R. Ray, A. Bhavsar. "A nonlinear coupled diffusion system for image despeckling and application to ultrasound images". Circuits, Systems and Signal Proc., 2018.

  14. V. Gupta, A. Bhavsar. "Feature importance for human epithelial (HEp-2) cell image classification". Journal of Imaging, Vol. 4, Issue 3, (Special issue on Selected Papers from MIUA 2017), 2018.

  15. S. Mandal, A. Bhavsar, A. K. Sao. "Noise adaptive super-resolution from single image via non-local mean and sparse representation". Signal Processing. Vol. 132, pp. 134 - 149, 2017.

  16. S. Mandal, A. Bhavsar, A. K. Sao. "Depth map restoration from under-sampled data". IEEE Trans. on Image Processing, Vol 26, Issue 1, pp. 119 - 134, 2016.

  17. N. Siddiqui, V. Bhavsar, A. Bhavsar, S. Bose. "Contemplation on marking scheme for Type X multiple choice questions, and an illustration of a practically applicable scheme". Indian Journal of Pharmacology, Vol. 48, Issue 2, pp. 114 - 121, 2016.

  18. S. Jain, R. Ray, A. Bhavsar. "Iterative Solvers for Image Denoising with Diffusion Models: A Comparative Study". Computers and Mathematics with Applications, Vol. 70, Issue 3, pp. 191 - 211, 2015.

  19. L. Saba, A. Bhavsar, A. Gupta, E. Mtui, A. Giambrone, H. Baradaran, F. Lavra, J. Laird, A. Nicolaides, and J. Suri. "Automated calcium burden measurement in internal carotid artery plaque with CT: A hierarchical adaptive approach". International Angiology, Vol. 34, Issue 3, pp. 290 - 305, 2015

  20. A. Bhavsar, G. Wu, J. Lian, D. Shen. "Resolution enhancement of lung 4D-CT via group-sparsity". Medical Physics, Vol. 40, Issue 12, 2013.

  21. A. Bhavsar. "An efficient weakly supervised approach for texture segmentation via graph-cuts". Journal of Intelligent Systems, Vol. 22, Issue 3, pp. 253 - 267, 2013.

  22. A. Bhavsar, A. N. Rajagopalan. "Range map super-resolution inpainting and reconstruction from sparse data". Computer Vision and Image Understanding (CVIU), Vol. 116, Issue 4, pp. 572 - 591, 2012.

  23. A. Bhavsar, A. N. Rajagopalan. "Towards unrestrained depth inference with coherent occlusion filling". International Journal of Computer Vision (IJCV), Vol. 97, Issue 2, pp. 167 - 190, 2012.

  24. A. Bhavsar, A. N. Rajagopalan. "Resolution enhancement in multi-image stereo". IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE PAMI), Vol. 32, Issue 9, pp. 1721 - 1728, 2010.

Book chapters
  1. P. Singh, A. Bhavsar, K. Harinarayanan. " Histopathology Whole-Slide Image Analysis for Breast Cancer Detection." Biomedical Signal and Image Processing with Artificial Intelligence, EAI/Springer 2021.

  2. R. Jha, G. Jaswal, A. Nigam, A. Bhavsar. "Advances and challenges in fMRI and DTI techniques." Intelligent Data Security Solutions for e-Health Applications, Elsevier, 2020.

  3. S. Gupta, M. Mangal, A. Mathew, A.D. Dileep, A. Bhavsar, V. Thenkanidiyoor. "CNN-based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images." Pattern Recognition Applications and Methods, 2018.
    (Revised selected papers from ICPRAM 2018).

Conference publications
  1. H. Tiwari, P. Rout, A. Bhavsar. "Deep learning with spatial and channel attention for epileptic seizure type classification using frequency characterization." Int. Workshop. on Machline learning for Signal Processing (MLSP) 2022.

  2. A. Banerjee, A.D. Dileep, A. Bhavsar. "Fine grained few-shot classification with contrastive clues." Int. Workshop. on Machline learning for Signal Processing (MLSP) 2022.

  3. R. Jha, A. Bhardwaj, D. Garg, A. Bhavsar, A. Nigam. "MHATC: Autism spectrum disorder identification utilizing multi-head attention encoder along with temporal consolidation modules." Int. Conf. on Engineering in Medicine and Biology (EMBC) 2022.

  4. A. Banerjee, A.D. Dileep, A. Bhavsar. "Sieving camera trap sequences in the wild." Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM) 2022.

  5. R. Jha, S. Pathak, W. Schneider, B.V. Rathish Kumar, A. Bhavsar, A. Nigam. "LFANet: Transforming 3T single-shell to 7T multi-shell dMRI using deep learning based Leapfrog and Attention." IEEE International Symposium on Biomedical Imaging (ISBI) 2022.

  6. R. Mishra, K. Sharma, A. Bhavsar. "Reconstruction of visual stimulus from the EEG recordings via Generative Adversarial Network." SPIE Medical Imaging, 2022

  7. H. Tiwari, A. Bhavsar. "Time-Frequency Representations for EEG Artifact Classification with CNNs." IEEE Applied Imagery Pattern Recognition workshop (AIPR) 2021.

  8. R. Mishra, K. Sharma, A. Bhavsar. "Visual brain decoding for short duration signals." European Signal Processing Conference (EUSIPCO) 2021.

  9. R. Jha, H. Gupta, S. Pathak, W. Schneider, B. V. Rathish Kumar, A. Bhavsar, A. Nigam. "Enhancing HARDI reconstruction from undersampled data via multi-context and feature inter-dependency GAN." IEEE International Symposium on Biomedical Imaging (ISBI) 2021.

  10. R. Mishra, A. Bhavsar. "EEG classification for visual brain decoding via metric learning." BIOIMAGING 2021.

  11. A. Sarkar, A. Bhavsar. "Virtual Screening of Pharmaceutical Compounds with hERG inhibitory activity (cardiotoxicity) using Ensemble Learning." BIOIMAGING 2021.

  12. M. Ubadah, K. Singh, A. Sao, A. Bhavsar, S. Bhagi, A. Alok, N.K. Chaudhury. "Automated Scoring of Metaphase Cell Images and Identification of Dicentric Chromosomes." Computer Vision and Image Processing (CVIP), 2020.

  13. P. Srinivasan, D. Thapar, A. Nigam, A. Bhavsar. "Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention." Asian Computer Vision Conference (ACCV) 2020.

  14. H. Mulchandani, R. Betha, J. Bagadia, M. Garg, C. Paunwala, A. Bhavsar. "Deep Generative Model for Single Image De-Hazing on Embedded Platform." IEEE TENSYMP 2020.

  15. P. Srinivasan, P. Kaur, A. Nigam, A. Bhavsar. "Semantic Features Aided Multi-Scale Reconstruction of Inter-Modality Magnetic Resonance Images." Int. Symposium on Computer Based Medical Systems (CBMS) 2020.

  16. R. Jha, G. Jaswal, A. Nigam, A. Bhavsar, S. Pathak, R. Kumar. "HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD." Int. Joint Conf. on Neural Networks (IJCNN) 2020.

  17. R. Jha, A. Nigam, A. Bhavsar, S. Pathak, W. Schneider, R. Kumar. "Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net)." Int. Conf. on Engineering in Medicine and Biology (EMBC) 2020.

  18. K. Gupta, D. Thapar, A. Bhavsar, A. Sao. "Effectiveness of GAN-Based Synthetic Samples Generation of Minority Patterns in HEp-2 Cell Images." Int. Conf. on Engineering in Medicine and Biology (EMBC) 2020.

  19. A. Kumar, A. Bhavsar, R. Verma. "Detecting deepfakes with metric learning." International Workshop on Biometrics and Forensics (IWBF) 2020.

  20. A. Kumar, A. Bhavsar, R. Verma. "Syn2Real: Forgery classification via unsupervised domain adaptation." Winter Conference on Application of Computer Vision (WACV), DeepPAB Workshop 2020.

  21. R. Mishra, A. Bhavsar. "Analyzing image classification via EEG". National Conf. on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG) 2019.

  22. S. Kumari, R. Jha, A. Bhavsar, A. Nigam. "'AUTODEPTH: Single image depth map estimation via residual CNN encoder-decoder and stacked hourglass." International Conference on Image Processing (ICIP) 2019.

  23. K. Gupta, A. Bhavsar, A. Sao. "A CNN based HEp-2 specimen image segmentation and identification of Mitotic Spindle type specimens." International Conference on Computer Analysis of Images and Patterns, (CAIP) 2019.

  24. C. Sonawane, D. Pratap Singh, R. Sharma, A. Nigam, A. Bhavsar "Fabric Classification and Matching using CNN and Siamese Network for E-commerce." International Conference on Computer Analysis of Images and Patterns, (CAIP) 2019.

  25. R. Jha, S. Patil, A. Nigam, A. Bhavsar "FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation using Stacked LSTM based Siamese Network." International Conference on Computer Analysis of Images and Patterns, (CAIP) 2019.

  26. K. Gupta, A. Bhavsar, A. Sao. "Deep metric learning for identification of mitotic patterns of HEp-2 cell images." IEEE Conference on Computer Vision and Pattern Recognition, CVMI workshop (CVPRW 2019), 2019.

  27. V. Gupta, A. Bhavsar. "Partially-independent framework for breast cancer histopathological image classification." IEEE Conference on Computer Vision and Pattern Recognition, CVMI workshop (CVPRW 2019), 2019.

  28. A. Singh, P. Rajan, A. Bhavsar. "Deep hidden analysis: A statistical framework to prune feature maps." nternational Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2019.

  29. V. Gupta, A. Bhavsar. "An integrated multi-scale model for breast cancer histopathological image classification using CNN-pooling and color-texture features." European Congress on Digital Pathology (ECDP 2019), 2019.

  30. K. Gupta, A. Bhavsar, A. Sao. "Computer Aided Diagnostic (CAD) based system for Autoimmune Disorder detection." Indian National Science Congress 2019.

  31. V. Gupta, A. Bhavsar. "Bagging and Boosting Simplistic Class-Speci.c Features for HEp-2 Cell Classification." MedImage (ICVGIP Workshop), 2018. (accepted)

  32. A. Chawdhary, S. Kumari, A. Bhavsar. "No reference evaluation in super-Resolution for CCTV footage." International Conference on Industrial and Information Systems (ICIIS 2018), 2018.

  33. M. Zinzuvadiya, V. Dhameliya, S. Vaghela, S. Patki, N. Nanavati, A. Bhavsar. "Co-Detection in Images using Saliency and Siamese Networks." Computer Vision and Image Processing (CVIP 2018), 2018.

  34. S. Kumari, R. Jha, A. Bhavsar, A. Nigam. "Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network." Computer Vision and Image Processing (CVIP 2018), 2018.

  35. A. Pankajakshan, A. Bhavsar. "Faster RCNN - CNN based Joint Model for Bird Part Localization in Images." Computer Vision and Image Processing (CVIP 2018), 2018.

  36. P. Kaur, A. Sharma, A. Nigam, A. Bhavsar. "Learning to decode 7T-like MR image reconstruction from 3T MR images." Medical Image Computation and Computer Assisted Intervenstion, DLMIA Workshop (MICCAIW 2018), 2018.

  37. N. Jith, K. Harinarayanan, S. Gautam, A. Bhavsar, A. Sao. "DeepCerv: Deep neural network for segmentation free robust cervical cell classification." Medical Image Computation and Computer Assisted Intervenstion, COMPAY Workshop (MICCAIW 2018), 2018.

  38. A. Singh, A. Thakur, P. Rajan, A. Bhavsar. "A layer-wise score level ensemble framework for acoustic scene classification." European Signal Processing Conference (EUSIPCO 2018), 2018.

  39. P. Kaur, A. Sharma, A. Nigam, A. Bhavsar. "MR-SRNET: Transformation of low field MR images to high field MR images." International Conference on Image Processing (ICIP 2018), 2018.

  40. V. Gupta, A. Bhavsar. "Sequential modeling of deep features for breast cancer histopathological image classification". IEEE Conference on Computer Vision and Pattern Recognition, CVMI workshop (CVPRW 2018), 2018.

  41. S. Gautam, A. Bhavsar, A. Sao. K. Harinarayan. "CNN based segmentation of nuclei in PAP-smear images with selective pre-processing". SPIE Medical Imaging (Digital Pathology), 2018.

  42. K. Gupta, A. Bhavsar, A. Sao. "Mitotic cells detection for HEp-2 specimen images using threshold-based evaluation scheme". SPIE Medical Imaging (Digital Pathology), 2018.

  43. K. Gupta, A. Bhavsar, A. Sao. "CNN based Mitotic HEp-2 Cell Image Detection". Bioimaging 2018.

  44. K. Gupta, A. Bhavsar, A. Sao. "Mitotic v/s non-mitotic HEp-2 cells classification for CAD based auto-immune disorder detection: A study using CNN". CODS-COMAD, 2018.

  45. C. Balure, A. Bhavsar, R. Kini. "GMM based single depth image super-resolution". National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2017), 2017.

  46. S. Kumari, S. Mandal, A. Bhavsar. "Patch similarity in transform domain for intensity range image denoising with edge preservation". National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2017). 2017.

  47. V. Gupta, A. Singh, K. Sharma, A. Bhavsar. "Automated classification for breast cancer histopathology images: Is stain normalization important?". Medical Image Computation and Computer Assisted Intervenstion, CLIP Workshop (MICCAIW 2017), 2017.

  48. R. Kumar, A. Kumar, A. Bhavsar. "Bird Region Detection in Images with Multi-scale HOG Features and SVM Scoring". International Conference on Computer Vision and Image Processing (CVIP 2017), 2017.

  49. S. Jafar, P. Singh, A. Bhavsar. "Temporal activity segmentation for depth cameras using joint-angle variance features". International Conference on Computer Vision and Image Processing (CVIP 2017), 2017.

  50. V. Gupta, A. Bhavsar. "An integrated multi-scale model for breast cancer histopathological image classification with joint colour-texture features". International Conference on Computer Analysis of Images and Patterns (CAIP 2017), 2017.

  51. V. Gupta, A. Bhavsar. "Breast cancer histopathological image classification: Is magnification important?". IEEE Conference on Computer Vision and Pattern Recognition, CVMI workshop (CVPRW 2017), 2017.

  52. V. Gupta, A. Bhavsar. "Random forest-based feature importance for HEp-2 cell image classification". International Conference on Medical Image Understanding and Analysis (MIUA 2017), 2017.

  53. S. Gautam, K. Gupta, A. Bhavsar, A. K. Sao. "Unsupervised segmentation of cervical cell nuclei via adaptive clustering". International Conference on Medical Image Understanding and Analysis (MIUA 2017), 2017.

  54. C. Balure, A. Bhavsar, R. Kini M. "Local segment-based dense depth reconstruction from very sparsely sampled data". National Conference on Communications (NCC 2017), 2017.

  55. T. Lunawat, S. Gupta, A. Bhavsar. "A study of interdependence between vessel enhancement and registration for lung 4D-CT". National Conference on Communications (NCC 2017), 2017.

  56. D. Sharma, T. Bhowal, A. Nigam, A. Bhavsar. "Unsupervised fully automated cartilage segmentation from knee MRI". International Workshop on Pattern Recognition for Healthcare Analytics (IWPR-HC, with ICPR 2016), 2016.

  57. V. Patel, A. Parmar, A. Nigam, A. Bhavsar. "Automated brain tractography segmentation using curvature points". Indian Conference on Computer Vision, Graphics and Image Processing, (ICVGIP 2016), 2016.

  58. C. Balure, A. Bhavsar, R. Kini M. "Single depth image super-Resolution via high frequency subbands enhancement and bilateral filtering". International Conference on Industrial and Information Systems (ICIIS 2016), 2016.

  59. C. Balure, A. Bhavsar, R. Kini M. "Depth image super-resolution with local medians and bilateral filtering". International Conference on Industrial and Information Systems (ICIIS 2016), 2016.

  60. V. Gupta, K. Gupta, A. Bhavsar, A. K. Sao. "Hierarchical classification of HEp-2 cell images using class-specific features". European Workshop on Visual Information Processing (EUVIP 2016), 2016.

  61. S. Mandal, S. Kumari, A. Bhavsar, A. K. Sao. "Multi-scale image denoising while preserving edges in sparse domain". European Workshop on Visual Information Processing (EUVIP 2016), 2016.

  62. K. Gupta, D. Burschka, A. Bhavsar. "Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions". IEEE Conference on Computer Vision and Pattern Recognition, HANDS workshop (CVPRW 2016), 2016.

  63. K. Gupta, A. Bhavsar. "Scale Invariant Human Action Detection from Depth Cameras using Class Templates”. IEEE Conference on Computer Vision and Pattern Recognition, PBVS workshop, (CVPRW 2016) 2016.

  64. K. Gupta, A. Bhavsar. "Human action recognition for depth cameras via dynamic frame warping". International Conference on Computer Vision and Image Processing (CVIP 2016), 2016.

  65. R. Prajapati, A. Bhavsar, A. Sao. "A hierarchical class-grouping approach, and a study of classification strategies for leaf classification". National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2015), 2015.

  66. P. Agarwal, A. Sao, A. Bhavsar. "Mean-shift based segmentation of cell nuclei in cervical PAP-smear images". National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2015), 2015.

  67. K. Gupta, V. Gupta, A. Bhavsar, and A. K. Sao. "Class-specific hierarchical classification for HEp-2 specimen images". International Conference on Image Processing (ICIP 2015).

  68. S. Mandal, A. Bhavsar, A. K. Sao. "Super-resolving a single intensity/range image via non-local means and sparse representation". Indian Conference on Computer Vision, Graphics and Image Processing, (ICVGIP 2014), 2014.

  69. S. Shete, A. Bhavsar, A. K. Sao. "Enhancing shape from focus-measure-fusion and sparse representation". Indian Conference on Computer Vision, Graphics and Image Processing, (ICVGIP 2014), 2014.

  70. M. Yadav, R. Garg, A. Bhavsar. "Better guiding the guided range image filter for range-image super-resolution". Indian Conference on Computer Vision, Graphics and Image Processing, (ICVGIP 2014), 2014.

  71. A. Bhavsar, G. Wu, D. Shen. "Motion-guided resolution enhancement for lung 4D-CT". International Conference Control, Automation, Robotics and Vision, (ICARCV 2014), 2014.

  72. S. Jain, R. Ray, A. Bhavsar. "A comparative study of iterative solvers for image de-noising". International Conference Frontiers of Intelligent Computing: Theory and Applications (FICTA 2014), 2014.

  73. S. Mandal, A. Bhavsar, A. K. Sao. "Hierarchical example-based range image super-resolution with edge preservation". International Conference on Image Processing (ICIP 2014), 2014.

  74. K. Gupta, V. Gupta, A. K. Sao, A. Bhavsar, and A. D. Dileep. "Class-specific hierarchical classification of HEp-2 cell images: The case of two classes". Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images (with ICPR 2014), 2014.

  75. A. Bhavsar, G. Wu, and D. Shen. "Harnessing group-sparsity regularization for resolution enhancement of lung 4D-CT". International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), pp 139-146, 2013.

  76. A. Bhavsar. "Weakly supervised efficient texture segmentation via graph-cuts". International Conference on Communication, VLSI and Signal Processing (ICCVSP 2013), 2013.

  77. A. Bhavsar. "Range Image super-resolution via reconstruction of sparse data". International Conference on Intelligent Systems and Signal Processing (ISSP 2013), 2013.

  78. A. Bhavsar, A. N. Rajagopalan. "Dis-occlusion via motion-parallax and color-segmentation". International Conference on Signals, Systems and Automation (ICSSA 2011), 2011.

  79. A. Bhavsar, A. N. Rajagopalan. "Inpainting in multi-image stereo". Annual Symposium of German Association of Pattern Recognition (DAGM 2010), pp. 172 - 181, 2010.

  80. A. Bhavsar, A. N. Rajagopalan. "Depth estimation and inpainting with an unconstrained camera". British Machine Vision Conference (BMVC 2010), 2010.

  81. A. Bhavsar, A. N. Rajagopalan. "Inpainting large missing regions in range images". International Conference on Pattern Recognition (ICPR 2010), pp. 3464 - 3467, 2010.

  82. A. Bhavsar, A. N. Rajagopalan. "Depth estimation with a practical camera". British Machine Vision Conference (BMVC 2009), 2009.

  83. A. Bhavsar, A. N. Rajagopalan. "Range map with missing Data - Joint resolution enhancement and inpainting". Indian Conference on Computer Vision, Graphics and Image Processing. (ICVGIP 2008), pp. 359-365, 2008.

  84. A. N. Rajagopalan, A. Bhavsar, F. Wallhoff, G. Rigoll. "Resolution enhancement of PMD range maps". Annual Symposium of German Association of Pattern Recognition (DAGM 2008), pp. 304-313, 2008.

  85. A. Bhavsar, A. N. Rajagopalan. "Resolution enhancement for binocular stereo". International Conference on Pattern Recognition (ICPR 2008), pp. 1-4, 2008.

  86. A. Bhavsar, A. N. Rajagopalan. "Joint estimation in stereo super-resolution". National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2008), pp. 178-183, 2008.

  87. H. Patel, A. Bhavsar, S. Mitra. "Face recognition using modular principal component analysis and support vector machine". International Conference on Visual Information Engineering (VIE 2006), pp. 74-78, 2006.

  88. A. Bhavsar, H. M. Patel. "Facial expression recognition using neural classifier and fuzzy mapping". IEEE Indicon 2005, pp. 383-387, 2005.

Extended abstracts
  1. R. Verma, A. Bhavsar. "Validation of Automatic Facial Comparison from Scene Constrained Database using the Likelihood Ratio Approach". Int. Asso. for Forensic Science meeting (IAFS) 2021.

  2. N. Bhardwaj, R. Verma, A. Bhavsar. "Validation and Confidence Interval Estimation for the Determination of Height of Person from CCTV Footage using Reverse Projection Photogrammetry". International eConference on Emerging Trends in Forensic Science, 2021.

  3. K. Gupta, D. Thapar, A. Bhavsar, A. Sao. "GAN based generation of synthetic minority HEp-2 cell images for autoimmune disroders diagnosis". WiML 2020.

  4. P. Kaur, A. Sharma, A. Nigam, A. Bhavsar. "Multi-Decoder Network for Reconstruction of High Field-like MR Images". WiML 2019.

  5. P. Srinivasan, P. Kaur, A. Nigam, A. Bhavsar. "An MRI Inter-Modality Reconstruction Network using Multiscale Feature Transformation". WiML 2019.

  6. N. Bhardwaj, R. Verma, A. Bhavsar, P. Rajan. "Preliminary Study on the Person Identification from Face Morphometrics using Likelihood Ratio". International Conference on Police Science, Futuristic Security and Policing Architecture, ICPS-2019.

  7. N. Bhardwaj, R. Verma, P. Rajan, A. Bhavsar. "Study of the Variability of Male Voices using Likelihood Ratio Approach". International conference on Forensic Research and Analysis, 2019.

  8. N. Bhardwaj, R. Verma, P. Rajan, A. Bhavsar. "Voice Comparison in the Likelihood Ratio Framework: A Preliminary Study". National Conference on Challenges and Innovations in Criminal Justice System, FORENSICON-2019.

  9. K. Gupta, A. Bhavsar, A. Sao. "Deep Neural Network based Mitotic type HEp-2 Specimen Detection for Autoimmune Disorders Diagnosis". IEEE Conference on Computer Vision and Pattern Recognition, WICV workshop (CVPRW 2019), 2019.

  10. L. Saba, T. Araki, P. Jain, A. Bhavsar, J. Laird, J. Suri. "Improved stroke risk stratification by fusion of two machine learning systems derived from multiple sources of carotid artery". Neurological Disorders Summit (NDS 2017), 2017.

  11. S. Gautam, A. Bhavsar, A.K. Sao. "Unsupervised Segmentation of Cervical Cancer Nuclei via Adaptive Clustering". IEEE Conference on Computer Vision and Pattern Recognition, WICV workshop (CVPRW 2017), 2017.

  12. S. Gautam, A. Bhavsar, A.K. Sao. "CNN based Segmentation of Nuclei in PAP-Smear Images with Selective Pre-processing". IEEE Conference on Computer Vision and Pattern Recognition, WICV workshop (CVPRW 2017), 2017.

  13. V. Gupta, A. Bhavsar. "An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification with Color-texture Features". IEEE Conference on Computer Vision and Pattern Recognition, WICV workshop (CVPRW 2017), 2017.

  14. V. Gupta, K. Gupta, A. Bhavsar, A. Sao. "Hierarchical classification of HEp-2 cell images using class-specific features". IEEE Conference on Computer Vision and Pattern Recognition, WICV workshop (CVPRW 2016), 2016. (http://faculty.iitmandi.ac.in/~arnav/cvpr_2016_wicv_hep2.pdf)

  15. V. Patel, A. Parmar, M. Srivastava, A. Nigam, A. Bhavsar. "Brain Tractography Classification using Curvature Points". Indian Workshop on Machine Learning (IWML 2016), 2016. (http://faculty.iitmandi.ac.in/~arnav/IWML_2016_dti_seg.pdf)

  16. T. Lunawat, S. Gupta, A. Bhavsar. "Vessel-ness based registration for lung 4D-CT". International Conference on Systems in Medicine and Biology (ICSMB 2016), 2016. (http://faculty.iitmandi.ac.in/~arnav/ICSMB2016_vess_reg.pdf)

Open-access repository e-prints (work not included in the publications above)
  1. A. Katiyar, A. Bhavsar. "Image Forgery Detection with Interpretability". arXiv:2202.00908 [cs.CV], 2022.

  2. S. Krishna, S. Suganthi, S. Krishnamoorthy, A. Bhavsar. "Stain normalized breast histopathology image recognition using convolutional neural networks for cancer detection". arXiv:2201.00957 [cs.CV], 2022.

  3. A. Kalra, A. Bhavsar. "Lunar rock classification using machine learning". viXra:2007.0209 [Artificial Intelligence], 2020.

  4. S. Gautam, K.K. Harinarayan, N. Jith, A.K. Sao, A. Bhavsar, A. Natarajan. "Considerations for a PAP smear image analysis system with CNN features". arXiv:1806.09025 [cs.CV], 2018.

  5. K. Gupta, D. Burschka, A. Bhavsar. "Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints". arXiv:1806.07574 [cs.CV]. 2018.

  6. S. Patil, A. Nigam, A. Bhavsar, C. Chattopadhyay. "Siamese LSTM based fiber structural similarity network (FS2Net) for rotation invariant brain tractography segmentation". arXiv:1712.09792 [cs.CV]. 2017.

  7. A. Bhavsar. "Shape Estimation from Defocus Cue for Microscopy Images via Belief Propagation". arXiv:1612.09411 [cs.CV]. 2016.

  8. A. Bhavsar. "Resolution enhancement of range images via color-image segmentation". arXiv:1210.7403 [cs.CV]. 2012.

  9. A. Bhavsar. "Analysis of magnification in depth from defocus". arXiv:1203.6329 [cs.CV]. 2012.

Technical reports
  1. V. Srikrishnan and A. Bhavsar. "Learning Eigen-filters for representing texture primitives". GE Global Research India, 2012. (http://faculty.iitmandi.ac.in/~arnav/texture_rep.pdf)

Patents
  1. A. Natarajan, Harinaryan K., Nirmal, A. K. Sao, A. Bhavasar, K. Gupta, S. Gautam. A method for medical screening and a system thereof, File no: 2599/CHE/2015 (filed).

  2. A.N. Rajagopalan, A. Bhavsar. Method and system for generating a high resolution image, US 8339470 B2, Dec. 25, 2012.

Some codes (without warranty)
  1. Image forgery classification

  2. Deepfakes video classification

  3. MiraPy - A python package for some tasks involving deep learning for astronomy
.