Arnav Bhavsar

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Phone: 01905-267049
EMail: arnav[at]iitmandi[dot]ac[dot]in, arnav[dot]iitmandi[at]gmail[dot]com
Other homepage: https://sites.google.com/site/arnavbhavsar/home
Address: School of Computing and Electrical Engineering
Indian Institute of Technology Mandi
Kamand, Mandi (Himachal Pradesh) - 175005
India

Research interests

  • Computer vision, Image Analysis, Machine Learning

Teaching

  • Signals and Systems (Spring 2017)
  • Digital Image Processing (Autumn 2016)
  • Digital Signal Processing (Spring 2014, 2015, 2016)
  • Network Theory (Autumn 2014, 2015)
  • Probability and Random Processes (Autumn 2015, 2016)
  • Reverse Engg. (coordinator) (Autumn 2014, 2015)
  • Design Practicum (coordinator and team mentor) (Spring 2014, 2015)
  • Interdisciplinary Socio-Technical Practicum (team mentor) (Spring 2014, 2015)

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):
    IEEE Trans. on Image Processing (IEEE)
    IEEE Trans. on Industrial Electronics (IEEE)
    IET Computer Vision (IET)
    Computer Vision and Image Understanding (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 (2012, 2013, 2014, 2015, 2017, 2018)
    ICCV (2013, 2015)
    ACCV (2016)
    ECCV (2016)
    BMVC (2015, 2016, 2018)
    MICCAI (2017, 2018)
    SPCOM (2011, 2012, 2014, 2016, 2018)
    NCC (2014, 2015, 2016, 2017, 2018, 2019)
    ICVGIP (2018) NCVPRIPG (2017)
    CVIP (2018)

Projects

  1. Development Image analysis for biodosimetry applications - INMAS, DRDO (2018 - 2019) (co-PI)
  2. Development of digital forensic tools - HP State Govt. (2017 - 2019) (PI)
  3. Low-cost MRI - seed funding from IIT Mandi (2016 - 2018) (co-PI)
  4. DST INSPIRE research grant - DST INSPIRE (2014 - 2019) (PI)
  5. Mulitmodal bird identification - IIT Mandi seed grant (2015 - 2018) (co-PI)
  6. Image analysis for cervical cancer diagnosis - AIndra Pvt. Ltd. (2015 - 2017) (co-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. C. Balure, A. Bhavsar, R. Kini. "Guided depth image reconstruction from very sparse measurements". Journal of Electronic Imaging, 27(5), 2018.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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

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

  10. 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.

  11. 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.

  12. 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.

  13. 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. 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) (Accepted).

Conference publications
  1. 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.

  2. 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.

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

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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).

  36. 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.

  37. 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.

  38. 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.

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

  40. 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.

  41. 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.

  42. 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.

  43. 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.

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

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

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

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

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

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

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

  51. 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.

  52. 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.

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

  54. 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.

  55. 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.

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

Extended abstracts
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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)

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

  7. 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)

arXiv (work not included in the publications above)
  1. 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.

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

  3. 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.

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

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

  6. 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.
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