Research
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Post-doctoral Research
Novel Fluid flow analysis techniques have been proposed within the Recursive Ensemble Kalman filter framework.
PhD Thesis
Recursive Image Estimation and Inpainting in Noise using Non-Gaussian MRF Prior. PDF
MSc(Engg) Thesis
Application of Hybrid Relaxation and Self-Organizing Networks to Stereo-Image Pair Analysis.
Books/ Book Chapters
Gopakumar G and Rama Krishna Sai S Gorthi, “Deep Learning Applications to Cytopathology: A Study on the Detection of Malaria and on the Classification of Leukaemia Cell-Lines”, in Handbook of Deep Learning Applications, V. Emilia Balas, Roy, S. Sekhar, Sharma, D., and Samui, P., Eds. Cham: Springer International Publishing, 2019, pp. 219–257.
International Journals
2024
48. Mohana Murali, Rama Krishna Sai S. Gorthi, "GOA-Net: Generic Occlusion Aware Networks for Visual Tracking", Machine Vision and Applications, Accepted, June 2024.
47. Asha S. B., Gopakumar G, and Rama Krishna Sai S. Gorthi, "Saliency and boundary-guided segmentation framework for cell counting in microscopy images", Expert Systems With Applications, No. 124309, Volume 253, November 2024.
2023
46. K. Lakshmipathaiah, S. Vig, M. L. N. Ashby, J. L. Hora, M. Kang, Rama Krishna Sai S. Gorthi, "Probabilistic Classification of Infrared-selected targets for SPHEREx mission: In search of YSOs", Monthly Notices of the Royal Astronomical Society, Sept. 2023.
45. Jianning Li, et. al., "Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge", Medical Image Analysis, Elsevier, Vol. 88, No. 102865, August 2023. https://doi.org/10.1016/j.media.2023.102865.
44. Vaishnavi R, and Rama Krishna Sai S. Gorthi, "CF3DNet: A Learning-based Approach for Single-shot 3D Reconstruction from Circular Fringes", Optics and Lasers in Engineering, Elsevier, Vol. 167, No. 107597, August 2023. https://doi.org/10.1016/j.optlaseng.2023.107597.
43. Matthew A, Joseph L, Kiran L, Sarita V, Rama Krishna Sai S. Gorthi, et. al., "The SPHEREx Target List of Ice Sources (SPLICES)", The Astrophysical Journal, Vol. 949, Issue 2, pp. 105-118, June 2023.
42. Vaishnavi R, and Rama Krishna Sai S. Gorthi, "LiteF2DNet - A Lightweight Learning Framework for 3D Reconstruction using Fringe Projection Profilometry", Applied Optics, Optica, Vol. 62, Issue 12, pp. 3215-3224, April 2023. https://doi.org/10.1364/AO.483303.
41. Vamsidhar SR, Arun Kumar S, Vaishnavi R, Gowtham S, and Rama Krishna Sai S. Gorthi, "VISAL - A Novel Learning Strategy to Strategy to Address Class Imbalance", Neural Networks, Elsevier, No. 1842023, pp. 161-178, April 2023. DOI: 10.1016/j.neunet.2023.01.015.
40. Mohana Murali, Hari Chandana, Aravind Rajiv, Rama Krishna Sai S. Gorthi, "I-VITAL: Information-aided Visual Tracking with Adversarial Learning", Displays Journal, Elsevier, Vol. 77, No. 102372, April 2023. https://doi.org/10.1016/j.displa.2023.102372.
39. Asha S. Benny, G. Gopakumar, Rama Krishna Sai S. Gorthi, "Saliency and ball ness driven deep learning framework for cell segmentation in bright field microscopic images", Engineering Applications of Artificial Intelligence, Elsevier, Vol. 118, No. 105704, February 2023. https://doi.org/10.1016/j.engappai.2022.105704.
2022
38. Ashif S. Iquebal, AakashYadav, Bhaskar Botcha, Rama Krishna Gorthi, Satish Bukkapatnam, Tracking and quantifying spatter characteristics in a laser directed energy deposition process using Kalman filter, Manufacturing Letters, Vol. 33, PP. 692-700, September 2022.
37. Sumanth V, Vaishnavi R, Rama Krishna Gorthi, A Multi-task Learning for 2D Phase Unwrapping in Fringe Projection, IEEE Signal Processing Letters, Vol. 29, pp. 797 - 801, March 2022.
36. Pallavi V, Deepak Mishra, Rama Krishna Sai S Gorthi, "Guided MDNet Tracker with Guided Samples", The Visual Computer (TVCJ), Springer, vol. 38, pp.1135–1149, March 2022.
35. Swetha V, Ashish Kumar Mishra, Deepak Mishra, Subrahmanyam Gorthi R. K. Sai, An eigenvector approach for obtaining scale and orientation invariant classification in convolutional neural networks, Advances in Computational Intelligence, Springer, vol. 2, no. 8, Feb. 2022.
34. Sumanth V, Naveen P, Rama Krishna Gorthi, 3D Deformation Measurement in Digital Holographic Interferometry Using A Novel Multitask Deep Learning, Journal of the Optical Society of America A (JOSA-A), vol. 39, no. 1, pp. 167-176, Jan 2022.
2021
33. J. K. Mandapalli, V. Ravi, S. S. Gorthi, S. Gorthi, R. K. Gorthi, Single-shot circular fringe projection for the profiling of objects having surface discontinuities, Journal of the Optical Society of America A (JOSA-A), vol. 38, no. 9, p. 1-13, Sep 2021.
2020
32. Rakesh K M, G E Spoorthi, Krishna Sumanth V, Subrahmanyam Gorthi, Rama Krishna Sai S Gorthi, "End-to-End Deep Learning-based Fringe Projection Framework for 3D Profiling of Objects", CVIU - Computer Vision and Image Understanding, vol. 199, October 2020.
31. Chandra Sekhar, Viswanath P, Rama Krishna Sai S Gorthi, Prerana M, "OSVFuseNet: Online Signature Verification by Feature Fusion and Depth-wise Separable Convolution Based Deep Learning", Neurocomputing (Elsevier), vol 409, no. 7, pp. 157-172, Oct 2020.
30. Spoorthi G, Rama Krishna Sai S Gorthi, Subrahmanyam Gorthi, "PhaseNet 2.0: Phase Unwrapping of Noisy Data based on Deep Learning Approach", IEEE Transactions on Image Processing, vol 29, pp. 4862 - 4872, PP. 157-172, March 2020.
29. Ganatma N T, Ashif S., Ramakrishna Sai Gorthi, Bukkapatnam, Satish, "Identification of microstructures in 3D printed Ti-6Al-4V using Acoustic Emission Cepstrum", Smart and Sustainable Manufacturing Systems, vol. 4, no. 2, Jan. 2020.
28. Anupama A, Thomas J, J. Sheeba Rani, Ramakrishna Sai Gorthi, "Efficient Directionality-driven Dictionary Learning for Compressive Sensing MRI Reconstruction", Journal of Medical Imaging (JMI), vol. 7, no. 1, Jan. 2020.
2019
27. Bhavana S, Sarita V, Ghosh S K, Ramakrishna Sai Gorthi, "A Classifier to Detect Elusive Astronomical Objects through Photometry", Monthly Notices of the Royal Astronomical Society, Volume 488, Issue 2, Pages 2263–2274, September 2019.
26. Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai S Gorthi, "Detection based long term tracking in correlation filter trackers", Pattern Recognition Letters, Volume 122, Pages 79-85, May 2019.
25. Spoorthi G, Subrahmanyam Gorthi, Rama Krishna Sai S Gorthi, "PhaseNet: A Deep Convolutional Neural Network for Two-Dimensional Phase Unwrapping", IEEE Signal Processing Letters, Vol. 26, No. 1, pp. 54-58, January 2019.
24. Srirag N, Soumyadeep, Sarita V, Ramakrishna Sai Gorthi, "Star Cluster Detection and Characterization using Generalized Parzen Density Estimation", Monthly Notices of the Royal Astronomical Society, Vol. 482, No. 3, pp. 3789–3802, January 2019.
23. Mounika K, Sheeba R, Kutty G, Ramakrishna Sai Gorthi, "Consistent Robust and Recursive Estimation of Atmospheric Motion Vectors From Satellite Images", IEEE Transactions on Geo-science and Remote Sensing, Vol. 57, No. 3, pp. 1538 - 1544, March 2019.
2018
22. Gopakumar, G., Swetha, M., Gorthi, S. S. and Sai Subrahmanyam, Gorthi. R. K, "CNN based Malaria Diagnosis from Focus-stack of Blood Smear Images Acquired using Custom-built Slide Scanner", J. Biophotonics, 11(3), March 2018.
21. Haribabu, Ayushi Jain, Swetha, Deepak M, Sai Subrahmanyam Gorthi, "Incorporating Rotational Invariance in Convolutional Neural Network Architecture", Pattern Analysis and Applications (Springer), pp 1–14, Feb. 2018.
2017
20. Rajeswari B, Srivalsan, Ramarao N, Sai Subrahmanyam Gorthi, "Active Learning Based Optimised Training Library Generation for Object Oriented Image Classification", IEEE Transactions on Geo Science and Remote Sensing, 56(1), pp. 575 – 585, Sept. 2017.
19. Rachit Saluja, G. R. K. S. Subrahmanyam, Deepak Mishra, R. V. Vinu, and Rakesh Kumar Singh, "Compressive correlation holography," Appl. Opt., 56, 6949-6955, July 2017.
18. Mandan K R, Sumitra K, Pallavi V, Deepak M, Sai Subrahmanyam Gorthi, "Correlation based Tracker level fusion for Robust visual tracking", IEEE Transactions on Image Processing, Volume: 26, No. 10, 2017.
17. Aneesh Raj S S, Madhu S. Nair, Sai Subrahmanyam Gorthi, "Satellite Image Resolution Enhancement Using Nonsubsampled Contourlet Transform and Clustering on Subbands", Journal of the Indian Society of Remote Sensing, Springer, 2017.
16. Haribabu K, Deepak M, Sai Subrahmanyam Gorthi, "Exploring the Learning Capabilities of Convolutional Neural Networks for Robust Image Watermarking", Computers & Security, Elsevier, Volume. 65, Pages 247-268, March 2017.
15. Gopakumar G, Haribabu K, Deepak M, Sai Siva G, Sai Subrahmanyam Gorthi, "Cytopathological Image Analysis using Deep Learning Networks in Microfluidic Microscopy for Label-free Leukaemia Cell-lines", Journal of Optical Society of America: A, Vol. 34, No. 1, pp. 111-121, 2017.
2016
14. Unni V S, Deepak M, Sai Subrahmanyam Gorthi, "Adaptive Multi Focus Image Fusion Using Block Compressed Sensing With SPL Integration In Wavelet Domain", Journal of Optical Society of America: A, Vol. 33, No. 12, pp. 2516-2525, Dec 2016.
13. V. Kalyan, Gopakumar G, Gorthi R K Sai Subrahmanyam, Sai Siva G, “Microfluidic Microscopy assisted approach for Label-Free Cancer Screening”, Medical & Biological Eng & Computing (MBEC), Springer, 2016 (Accepted).
12. Vinitha R, Sai Subrahmanyam Gorthi, Deepak Mishra, "Simultaneous Speech Coding and De-noising in a Dictionary Based Quantized CS Framework" International Journal of Speech Technology, Springer, Vol. 19, No. 3, pp. 509-523, Sept 2016.
11. Rahul G W, Sai Subrahmanyam Gorthi, Deepak Mishra, "Wrapped Statistics based Phase Retrieval form Interference Fringes" Journal of Modern Optics, Vol 63, No. 14, pp.1384-1390, Feb 2016.
10. Rahul G W, Ram Sukumar P, Sai Subrahmanyam Gorthi, Rakesh Kumar Singh, Deepak Mishra, "Particle Filter based Phase Estimation in Digital Holographic Interferometry", Journal of Optical Society of America: A, Vol. 33, No. 3, pp. 326-332, March 2016.
9. Gopakumar G, Kalyan V, Sai Siva G, Sai Subrahmanyam G R K, “Framework for Morphometric classification of cells in Imaging flow cytometry”, Journal of Microscopy, Vol. 261, No. 3, pp. 307-319, Mar 2016.
2013-14
8. Rahul G. Waghmare, Deepak Mishra, G. R. K. Sai Subrahmanyam, Earu Banoth, and Sai Siva Gorthi, "Signal tracking approach for phase estimation in digital holographic interferometry", Applied Optics, Vol. 53, Issue 19, pp. 4150-4157, 2014.
7. Christy Jojy, Madhu S. Nair, G. R. K. S. Subrahmanyam, Riji ,"Discontinuity Adaptive Non-Local Means with Importance Sampling Unscented Kalman Filter for De-speckling SAR Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 6, No. 4, Aug. 2013.
6. Sebastien Beyou, Anne Cuzol, G. R. K. S. Subrahmanyam, and Etienne Mémin,"Weighted Ensemble Transform Kalman Filter for Image Assimilation", Tellus-A, Vol.65, Jan. 2013.
5. Sébastien Beyou, Thomas Corpetti, G. R. K. S. Subrahmanyam, and Etienne Mémin, "Fluid flow estimation with multi-scale ensemble fil-ters based on motion measurements under location uncertainty", Numerical Mathematics: Theory, Methods and Applications, Vol. 6, No. 1, pp. 21-46, Feb. 2013.
2007-10
4. G. R. K. S. Subrahamanyam, A. N. Rajagopalan and R. Aravind, "A Recursive framework for joint inpainting and de-noising of photographic films", Journal of Optical Society of America: A, pp. 1091-1099, Vol. 27, no. 5, 2010. PDF
3. G. R. K. S. Subrahamanyam, A. N. Rajagopalan and R. Aravind, "A Recursive filter for Despeckling SAR Images", IEEE Trans. Image Processing, pp. 1969-1974, Vol 17, no. 10, 2008. PDF
2. G. R. K. S. Subrahmanyam, A. N. Rajagopalan and R. Aravind, "Importance sampling-based unscented Kalman filter for film-grain noise removal", IEEE Multimedia Magazine, pp. 52-63, Vol. 15, no. 2, 2008. PDF
1. G. R. K. S. Subrahmanyam, A. N. Rajagopalan and R. Aravind, "Importance sampling Kalman filter for image estimation", IEEE Signal Processing Letters, pp. 453-456, vol. 14, no. 7, 2007. PDF
Extended Conferences Proceedings
2. Vinitha R, Deepak Mishra, Sai Subrahmanyam Gorthi, “Efficient Speech Coding using a hybrid dictionary in a quantized Compressive Sensing framework”, International Journal of Information Processing, Vol. 9, No. 2, pp. 1-12, June 2015.
1. Rahul G W, Deepak Mishra, Sai Subrahmanyam Gorthi, “Signal tracking approach for phase and phase derivative estimation in DHI using EKF”, International Journal of Information Processing, Vol. 9, No. 2, pp. 25-35, June 2015.
National / International Conferences
2024
76. Sree Rama Vamsidhar S, Jayadeep D, Rama Krishna Gorthi, “ISSR-DIL: Image Specific Super-Resolution Using Deep Identity Learning”, Accepted at NTIRE: New Trends in Image Restoration and Enhancement workshop and challenges at CVPR 2024, (CVPRW) 17 – 21 June 2024.
2023
75. Vaishnavi R, Sumanth V K, Subrahmanyam Gorthi, Rama Krishna Gorthi, Lightweight Learning Model for Speckle Denoising in Digital Holography, 'International Conference on Computer Vision & Image Processing’ (CVIP-2023), Nov. 2023.
74. Vamshi S R, Satyanarayana, Rama Krishna Gorthi, Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification, 'International Conference on Computer Vision & Image Processing’ (CVIP-2023), Nov. 2023.
73. Shriniwas V. N, Arun Kumar S, Arshad, Rama Krishna Gorthi, “The first place solution for ICIP2023 challenge Infrared imaging-based drone detection and tracking in distorted surveillance videos" in IEEE International Conference on Image Processing (ICIP), Oct. 2023.
72. Chandra Sekhar, Viswanath, Avinash, Rama Krishna Gorthi, Sreeja, “TSOSVNet: Teacher-student collaborative knowledge distillation for Online Signature Verification” Accepted in International Conference on Computer Vision Workshops (ICCVW), New Ideas in Vision Transformers, 2023.
2022
71. Arun Kumar S., Abhijit P., Konda Reddy Mopuri, Rama Krishna Gorthi, “Adv-Cut Paste: Semantic adversarial class specific data augmentation technique for object detection” Accepted for Oral presentation in International Conference in Pattern Recognition (ICPR), 2022.
70. Murali M, Rama Krishna Sai S Gorthi, "Visual Object Challenge Results 2022", In Proceedings: Computer Vision – European Conference on Computer Vision (ECCV) 2022, Visual object Tracking Workshops.
2021
69. Vinayak N, Rama Krishna Gorthi, Arshad J, SiamRPN++D: Improved SiamRPN++ Using Cascaded Detector Sensing, 12th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 20-21), 19-21 December 2021.
68. Aravind R, Rama Krishna Sai S Gorthi, "Visual Object Challenge Results 2020", In Proceedings: Computer Vision – International Conference on Computer Vision (ICCV) 2021, Visual object Tracking Workshops.
67. Murali M, Rama Krishna Sai S Gorthi, "Visual Object Challenge Results 2020", In Proceedings: Computer Vision – International Conference on Computer Vision (ICCV) 2021, Visual object Tracking Workshops.
66. S Pathak, C Sindhura, RKSS Gorthi, DV Kiran, S Gorthi, Cranial Implant Design Using V-Net Based Region of Interest Reconstruction, pp. 116-128, Cranial Implant Design Challenge, MICCAI , December 2021.
65. Ram Prabhakar, Gowtham S, Susmit Agrawal, Venkatesh Babu R, Rama Krishna Gorthi, “Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting” in IEEE / CVF Conference on Computer Vision & Pattern Recognition (CVPR) June 2021.
64. Santhan Kumar Reddy, Subrahmanyam Gorthi, Rama Krishna Gorthi, “Fusion-Net: Time-Frequency Information Fusion Y-Network for Speech Enhancement” in Interspeech, June 2021.
63. Jeevan J, Rama Krishna Gorthi, “Feature Fusion Ensemble Architecture with Active Learning for Microscopic Blood Smear Analysis” in IEEE International Conference on Image Processing (ICIP), May 2021.
62. Sameer R. S., Rama Krishna Sai S. Gorthi, Subrahmanyam Gorthi, Epileptic Seizure Detection and Anticipation using Deep Learning with Ordered Encoding of Spectrogram Features, 28th IEEE European Signal Processing Conference (EUSIPCO), pp. 1065-1069, Jan 2021.
2020
61. Murali M, Rama Krishna Sai S Gorthi, "IOU - SIAMTRACK: IOU Guided Siamese Network for Visual Object Tracking" In Proceedings: International Conference on Image Processing (ICIP), October 25-29, 2020.
60. Krishna Sumanth V, Rama Krishna Sai S Gorthi, "A Deep Learning framework for 3D surface profiling of the objects using Digital Holographic Interferometry" , In Proceedings: International Conference on Image Processing (ICIP), October 25-29, 2020.
59. Murali M, Rama Krishna Sai S Gorthi, "Visual Object Challenge Results 2020", In Proceedings: Computer Vision – European Conference on Computer Vision (ECCV) 2020, Visual object Tracking Workshops, 23-28 August 2020.
58. Hari Chandana, Rama Krishna Sai S Gorthi, "Visual Object Challenge Results 2020", In Proceedings: Computer Vision – European Conference on Computer Vision (ECCV) 2020, Visual object Tracking Workshops, 23-28 August 2020.
57. Gowtham S, Nandakumar K, and Rama Krishna Sai S Gorthi, "Handwritten Hindi Word Generation to enable Few Instance Learning of Hindi Documents", International Conference on Signal Processing and Communications (SPCOM), 21-24 July 2020.
56. Chandra Sekhar V, Sai Sasikanth I, Viswanath P, and Rama Krishna Sai S Gorthi, "OSVGAN: Generative Adversarial Networks for Data Scarce Online Signature Verification", In Proceedings: Visual Understanding by Learning from Web Data Workshop, International Conference on Computer Vision & Pattern Recognition, CVPRW, 14-19 June 2020.
55. Ashif S., Aakash Y, Ramakrishna Sai Gorthi, Bukkapatnam, Satish, "Tracking and Quantifying Spatter Characteristics in a Laser Directed Energy Deposition Process Using Kalman Filter", Manufacturing Science and Engineering Conference, Ohio, USA, June 2020.
54. Bharat Giddwani, Dheeraj Varma, Mohana Murali, and Rama Krishna Sai S Gorthi, "Eigen Vectors based Rotation Invariant Multi-Object Deep Detector", 7th International Conference on Signal Processing & Integrated Networks, pp. 246-252, SPIN, 27-28 Feb. 2020.
2019
53. Pinaki Ranjan Sarkar, Priya Prabhakar, Deepak Mishra, and Rama Krishna Sai S Gorthi, “Towards Automated Breast Mass Classification using Deep Learning Framework”, 6th IEEE Conf. Data Science and Advanced Analytics(DSAA), 2019.
52. Suraj B, Naveen P, Rama Krishna Sai S Gorthi,"The Visual Object Tracking VOT2019 Challenge Results", IEEE International Conference on Computer Vision (ICCV) Workshop, pp. 2206-2242, Oct 2019.
51. Chandra Sekhar, Rama Krishna Sai S Gorthi, Viswanath P, Online Signature Verification by Few-shot Separable Convolution Based Deep Learning, International Conference on Document Analysis and Recognition (ICDAR), pp. 1125-1131, Sidney, September 20-25, 2019.
50. Jagadeesh, Sai Siva Gorthi, Subrahmanyam Gorthi, Rama Krishna Sai S Gorthi, "Circular Fringe Projection Profitability for High dynamic range 3D reconstruction", 14th International conference on Computer Vision, Theory and Applications (VISSAP), Czech Republic, 2019.
2018
49. Spoorthi G, Subrahmanyam Gorthi, Rama Krishna Sai S Gorthi, "A Deep Learning-based Model for Phase Unwrapping", 11th Indian conference on computer vision, graphics and image processing (ICVGIP'18), IIIT Hyderabad.
48. Naveen K, Murali M, Rama Krishna Sai S Gorthi, "Tracking by Detection and Detection for Tracking of RBCs and SPRAM Cells in IFC", 11th Indian conference on computer vision, graphics and image processing (ICVGIP'18) MedImg Workshop, IIIT Hyderabad.
47. Anupama, Thomas, Sheeba R, Rama Krishna Sai S Gorthi, "Variable Patch Dictionaries for efficient Compressed Sensing based MRI Reconstruction", 11th Indian conference on computer vision, graphics and image processing (ICVGIP'18), IIIT Hyderabad.
46. Swetha V, Deepak M, Rama Krishna Sai S Gorthi, "Scale and Rotation Corrected CNNs ( SRC-CNNs ) for Scale and Rotation Invariant Character Recognition", 11th Indian conference on computer vision, graphics and image processing (ICVGIP'18), IIIT Hyderabad.
45. Priya M Raju, Deepak M, Rama Krishna Sai S Gorthi, "Bag of Visual Words based Correlation Filter Tracker(BoVW-CFT)", 11th Indian conference on computer vision, graphics and image processing (ICVGIP'18), IIIT Hyderabad.
44. Litu Rout, Priya M R, Deepak M, Rama Krishna Sai S Gorthi, "Learning Rotation Adaptive Correlation Filters in Robust Visual Tracking", In Proceedings: 14th Asian Conference on Computer Vision (ACCV) 2018.
43. Litu Rout, Deepak M, Rama Krishna Sai S Gorthi, "WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking", In Proceedings: Computer Vision – European Conference on Computer Vision (ECCV) 2018, Visual object Tracking Workshop.
42. Priya M Raju, Deepak M, Rama Krishna Sai S Gorthi, "Visual Object Challenge Results 2018", In Proceedings: Computer Vision – European Conference on Computer Vision (ECCV) 2018, Visual object Tracking Workshop.
41. Litu Rout, Deepak M, Rama Krishna Sai S Gorthi, "Visual Object Challenge Results 2018", In Proceedings: Computer Vision – European Conference on Computer Vision (ECCV) 2018, Visual object Tracking Workshops.
40. Litu Rout, Sidhartha, Rama Krishna Sai S Gorthi, Deepak M, “ Rotation Adaptive Visual Object Tracking with Motion Consistency” IEEE Winter conference on Applications of Computer Vision (WACV), Harvey’s Casino in Lake Tahoe, NV/CA, USA, 2018.
39. Pallavi V, Deepak M, Gorthi R K Sai Subrahmanyam, "The Visual Object Tracking VOT2017 Challenge Results", IEEE International Conference on Computer Vision (ICCV) Workshop, 2017, pp. 1949-1972.
40. Ayushi Jain, Deepak M, Rama Krishna Gorthi , Stacked Features Based CNN For Rotation Invariant Digit Classification", ’International Conference on Pattern Recognition and Machine Intelligence’ (PReMI-2017).
38. Rajeswari B, Srivalsan, Rama Rao N, Gorthi R.K. Sai. Subrahmanyam. “Batch Mode Active Learning Based Superpixel Library Generation for Very High Resolution Aerial Image Classification”, International Conference on Computational Intelligence: Theories, Applications and Future Directions (ICCI), 2017 IEEE Workshop on, IIT Kanpur, 2017.
37. Ayushi Jain, Deepak M, Rama Krishna Gorthi , Rotation Invariant Digit Recognition Using Convolutional Neural Network. 'International Conference on Computer Vision & Image Processing’ (CVIP-2017), Sept. 2017.
36. Aparna, Rahul, Deepak M, Sai Subrahmanyam RK Gorthi, "Effective Denoising with Non-local Means Filter for Reliable Unwrapping of Digital Holographic Interferometric fringes", International Conference on Computer Vision & Image Processing’ (CVIP-2017), IIT Roorkee, Sept. 2017.
35. Rajeswari B, Rama Rao N, Sai Subrahmanyam RK Gorthi, "Learning Based Fuzzy Fusion of Multiple Classifiers for Object Oriented Classification of High Resolution Images", International Conference on Computer Vision & Image Processing’ (CVIP-2017), IIT Roorkee, Sept. 2017.
34. Mounica K, Sheeba R, Sai Subrahmanya R K Gorthi, " Stochastic Assimilation Technique for Cloud Motion Analysis", International Conference on Computer Vision & Image Processing’ (CVIP-2017), IIT Roorkee, Sept. 2017.
33. Pinaki S, Deepak M, Sai Subrahmanyam R K Gorthi, "Classification of Breast Masses Using Convolutional Neural Network as Feature Extractor and Classifier", International Conference on Computer Vision & Image Processing’ (CVIP-2017), IIT Roorkee, Sept. 2017.
32. Pinaki S, Deepak M, Sai Subrahmanyam R K Gorthi, "Automatic Attendance System using Deep Learning Framework", MISP 2017, International Conference on Machine Intelligence and Signal Processing, IIT Indore, 2017.
31. Pinaki S, Deepak M, Sai Subrahmanyam R K Gorthi, ""Improving Isolated Bangla Compound Character Recognition Through Feature-map Alignment", 9-th International Conference on Advances in Pattern Recognition (ICAPR-2017), ISI-Bangalore, 2017
30. Kaushik S. Kalmady, Adithya S. Kamath, G. Gopakumar, Gorthi Sai Subrahmanyam and Gorthi Sai Siva, " Improved Transfer Learning through Shallow Network Embedding for Classification of Leukemia Cells", 9-th International Conference on Advances in Pattern Recognition (ICAPR-2017), ISI-Bangalore, 2017
29. Madalasa M, Tapas M, Rama Rao N, Deepak M, Sai sibrahmanyam R K Gorthi, "Bayesian Approach for Landslide Identification from High Resolution Satellite Images", International Conference on Computer Vision & Image Processing’ (CVIP-2017), IIT Roorkee, Sept. 2017.
28. V Pallavi, Deeak M, Gorthi R.K. Sai Subrahmanyam, “Computational efficient deep tracker: Guided MDNet”, National Conference on Communications, IIT Madras, 2-4 March, 2017.
27. Sumitra K, Madan Kumar R. Deepak M, Gorthi R.K. Sai Subrahmanyam et. al., Visual Object Challenge Results 2016, In Proceedings: Computer Vision – European Conference on Computer Vision (ECCV) 2016 Workshops, pp.777-823.
26.Sumitra K, Madan Kumar R. Deepak M, Gorthi R.K. Sai Subrahmanyam. “Complementary Tracker’s Fusion for Robust Visual Tracking”, Tenth Indian conference on computer vision, graphics and image processing (ICVGIP'16), Guwahati, India, December 18 - 22, 2016.
25. K. Haribabu, Deepak M, Gorthi R.K. Sai. Subrahmanyam. “A Differential Excitation Based Rotational Invariance for Convolutional Neural Networks”, Tenth Indian conference on computer vision, graphics and image processing (ICVGIP'16), Guwahati, India, December 18 - 22, 2016.
24. G. Gopakumar, M. Swetha, S.S. Gorthi, Gorthi R.K. Sai. Subrahmanyam. “Automatic Detection of Malaria Infected RBCs from a Focus Stack of Bright Field Microscope Slide Images”, Tenth Indian conference on computer vision, graphics and image processing (ICVGIP'16), Guwahati, India, December 18 - 22, 2016.
23. Abhishek Kumar, Nithin S, Gorthi R K Sai Subrahmanyam, Deepak M, “Application of transfer learning in RGB-D object recognition”, IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, Sept. 2016.
22. R. Waghmare, D. Mishra, and Gorthi R K Sai Subrahmanyam, "Signal Tracking Approach based Phase Estimation for Analysis of Thermal Expansion by Digital Holographic Interferometry," in Imaging and Applied Optics, Heidelberg, Germany, July 25-28, 2016.
21. V. S. Veena; Gorthi R K Sai Subrahmanyam; Martha, Tapas Ranjan; Mishra, Deepak; Nidamanuri, Rama Rao; "Automatic Detection of Landslides in Object-Based Environment Using Open Source Tools", GEOBIA-Solutions & Synergies, Enschede, The Netherlands, 14-16 Spet. 2016.
20. Bibin Johnson.; Sheeba Rani, Sai Subrahmanyam, G.R.K.; "A Novel Visualization and Tracking Framework for Analyzing the Inter/Intra Cloud Pattern formation to study their Impact on Climate", International Conference on Computer Vision and Image Processing, 2016, IIT Roorkee, Feb. 26-28, 2016.
19. Rohit Kumkar.; Sai Subrahmanyam, G.R.K.,; Mishra, D., "Applicability of Self Organizing Maps in Content Based Image Classification", International Conference on Computer Vision and Image Processing, 2016, IIT Roorkee, Feb. 26-28, 2016.
18. Jay Shah.; Sai Subrahmanyam, G.R.K.,; Mishra, D., "Integrated algorithm for different tracking Challenges", Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on , 15-19 Dec. 2015.
17. Ankush Chatterjee, Deepak Mishra and Sai Subrahmanyam Gorthi, "Enhancing Face Recognition Under Unconstrained Background Clutter Using Color Based Segmentation", Second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS'15), December 16-19, 2015, Trivandrum, India.
16. K. Haribabu, Deepak M, Gorthi R.K. Sai. Subrahmanyam. “A robust digital image watermarking technique using auto encoder based convolutional neural networks”, International Conference on Computational Intelligence: Theories, Applications and Future Directions (ICCI), 2015 IEEE Workshop on, IIT Kanpur, 2015.
15. Sukumar P. R.; Waghmare, R.G.; Singh, R.K., Sai Subrahmanyam, G.R.K., and Mishra, D., “Phase Unwrapping with Kalman Filter based Denoising in Digital Holographic Interferometry”, Advances in Computing, Communications and Informatics (ICACCI), 2015 IEEE International Conference on, Vol.,No., pp 2246 – 2250, 10-13 Aug. 2015.
14. R. Waghmare, G.R.K.S. Subrahmanyam, and D. Mishra,"Signal Tracking Approach for Simultaneous Estimation of Phase and Instantaneous Frequency", IEEE International conference on Signal Processing, Informatics, Communication and Energy Systems (IEEE SPICES), NIT Calicut, Feb 2015.
13. Vinitha Ramdas, Deepak Mishra, Sai Subrahmanyam Gorthi, " Speech Coding and Enhancement Using Quantized Compressive Sensing Measurements" , IEEE International conference on Signal Processing, Informatics, Communication and Energy Systems (IEEE SPICES), NIT Calicut, Feb 2015.
12. Preetha C, G.R.K.S. Subrahmanyam, and D. Mishra, "Compressive Sensing Framework for Simultaneous Compression and Despeckling of SAR images", The Eighth International Conference on Advances in Pattern Recognition (ICAPR), ISI Kolkata, January 2015.
11. Gopakumar G, Sai Subrahmanyam G R K, and Sai Siva Gorthi, "Morphology based Classification of Leukemia Cell lines: K562 and MOLT in a Microfluidics based Imaging Flow Cytometer",Indian Conference on Vision, Graphics and Image Processing (ICVGIP), Bangalore, December 2014.
10. R. Waghmare, D. Mishra, G.R.K.S. Subrahmanyam and S.S. Gorthi, "Extended Kalman Filter based Phase Estimation in Digital Holographic Interferometry", Eighth International Conference on Image and Signal Processing (ICISP), Bangalore, India, July 2014 (Won Best Paper Award).
9. Nishank Kumar, Deepak Mishra, Sai Subrahmanyam Gorthi, "Development of Fast and Accurate Stereo Vision System for Robotic Arm Application with Sub-pix Accuracy", Eighth International Conference on Image and Signal Processing (ICISP), Bangalore, India, July 2014.
8. Vinitha Ramdas, Deepak Mishra, Sai Subrahmanyam Gorthi, "Efficient Speech Coding Using a Hybrid Dictionary in a Quantized CS Framework", Eighth International Conference on Image and Signal Processing (ICISP), Bangalore, India, July 2014.
7. Waghmare, R.G.; Mishra, D.; Sai Subrahmanyam, G.R.K., "UKF based multi-component phase estimation in digital holographic Moiré", Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on , vol., no., pp.1-4, 18-21 Dec. 2013.
6. G. R. K. S. Subrahmanyam, S. Beyou, T. Corpetti, E. Mémin, "Multiscale weighted ensemble Kalman filter for fluid flow estimation", In Scale Space and Variational Methods in Computer Vision, pp. 749-760, 2012.
5. G. R. K. S. Subrahmanyam, S. Beyou, E. Mémin, "Analysis of SST Images by Weighted Ensemble Transform Kalman Filter", In IEEE Int. Geoscience and Remote sensing symposium (IGARSS'11), 2011.
4. G. R. K. S. Subrahmanyam, A. N. Rajagopalan, R. Aravind, and R. Gerhard, "Edge-preserving unscented Kalman filter for speckle reduction", International conference on pattern recognition (ICPR 2008). PDF
3. G. R. K. S. Subrahmanyam, A. N. Rajagopalan and R. Aravind, "Unscented Kalman filter for film-grain noise removal", IEEE International Conference on Image Processing (ICIP 2007). PDF
2. G. R. K. S. Subrahamanyam, A. N. Rajagopalan and R. Aravind, "A new extension of Kalman filter to non-Gaussian priors", Lecture Notes in Computer Science, pp. 162-171, 2006. PDF
1. Y. V. Venkatesh, T. Sujatha, G. R. K. S. Subrahmanyam, "On Stereo-Disparity Estimation and Verification by Image Synthesis", ’Proc. of the 8th IEEE International Conference on Mechatronics and Machine Vision in Practice, Hong Kong, 2001. PDF
Work reported in PhD thesis made the following four novel contributions
1. Estimating an image in the presence of additive white Gaussian noise is considered. A discontinuity-adaptive Markov random field prior is incorporated in the recursive Kalman filter using a random sampling technique.
2. Image estimation in the presence of nonlinear film-grain noisy observation is handled by the application of the Unscented Kalman filter (UKF) .
3. Probabilistic prior is incorporated into the UKF and explored its applicability to multiplicative speckle noise suppression in synthetic aperture radar images.
4. Filling in the damages in an image while simultaneously reducing the noise is accomplished by embedding a novel edge-based inpainting method in the UKF.
Work reported in MS thesis made the following novel contributions
Problem: Extraction of depth information, between a pair of epi-polar cameras and the objects, from a pair of stereo (or binocular) images of the scene.
1. Probabilistic iterative matching of the corresponding "similar’’ pixels of the two stereo images.
2. Converging (the weights of) network that formulated from left image by self-organizing principle towards the right image. The difference between the initial and the final weights directly gives us the disparity map of the whole image.
At GE India Technology Center, Bangalore.
Worked on Turbine's Bucket coating life estimation project:
Work Involved Image processing and Electro magnetic field theory applications to reliability assessment of power generation turbines (acquired a group Patent on this project)
PhD Guiding at IIST (Guide)
1) Classification of blood cells in Imaging Flow Cytometry by Gopakumar G
PhD Guided at IIST (as Co-Guide)
2) Phase estimation and 3D extraction in Holographic interferometry by Rahul Waghmare
M.Tech Projects Guided at IIST
During July 2013- May 2014
1) Compressive Sensing Framework for Simultaneous Compression and Denoising , Preetha C
2) Speech coding in a Compressive sensing framework
3) Content based Video Retrieval using Histogram of Orientation gradients
4) Development of fast and accurate stereo vision system for Robotic arm application with sub-pixel accuracy
During July 2014- 25015
5) Development of Compressive sensing based image fusion techniques by Unni
6) Development of vision guided fully automatic car parking system by Rinku
7) Predictive analytics for Phillips sales data by Sailesh
During July 2014- 2015
8) Development of advanced PCA & Deep learning based face recognition algorithms by Suhas
9) Convolutional Neural Networks And Multi-Classifier Systems For Land Cover Classification by Rajeswari
10) Obstacle Detection Using Computer Vision Approach For ADAS Applications by Sujith
11) Integrated algorithm for Robust Visual Tracking by Madan
12) Development of Predictive Image compression standards for memory efficient video codec’s by Sreeja
13) Development of novel Deep learning techniques and their applications by Hari
During July 2015-16
14) Rotational invariant Multi instance testing Convoluaiotn Neural nets for character, object or texture recognition by Aushi J
15) Efficient Deep Tracker: Guided MDNet for Visual Tracking by Pallavi V
16) Weighted EnKF based Cloud motion estimation and Cyclone Tracking by Mounika K
17) Recurrent Neural Networks based Conversation and translation machine by Vamshi (at Philips)
18) Semantic Segmenation of Remote Sensing Images using Convnets by Srivalsan N
19) Change detection and Bayesian Classification for Landslide identification by Madalasa M (ISRO/NRSC Project)
20) Finding Patterns in Vibration data for analysis and classification using Auto-encoders and RBMs by Lakshmi B (ISRO/VSSC Project)
21) Design of MOTR prototype for Aircraft and Flight tracking by Balaji S (ISRO/SHAR Project)
22) Quality assessment of MOTR tracking methods by Ragavayya V (ISRO/SHAR Project)
B.Tech Projects Guided at IIST
During Jan-May 2012
1) Ensemble Transform Kalman Filter for Assimilation of Fluid images and CV images By Swapnil Yadav
2) Edge Guided Convolution based image inpainting by Ittamalla Abhinav
3) Hyperspectral image classification by using Artificial Neural Network & FLANN
4) Speckle suppression in SAR images by Jagtap Anuj Vishwas
During Jan-May 2013
5) Content based image retrieval using HoG descriptor and SVM by G. Meghanath
6) Tracking by Particle filter using HoG and LAB color space by Visesh Guptha
7) Dimensionality reduction and classification of Hyper spectral images by D. Sridhar Naik.
During Jan-May 2014
8) Tracking using Particle filter and its variants (Auxiliary PF and Unscented PF) by Satyaduth
9) Role of Manifold techniques in person/object tracking by Anupam Sharma
10) Image Denoising and Deblurring using Wiener and Kalman Filter by Tarun Teja
11) Investigating Propagation Characteristics of Clouds by Pyramidal Lucas-Kanade Optical flow by Anoop
12) Stereo disparity analysis for Remote sensing by Deepak
Intern Projects
1) SAR image denoising using adaptive filters by Alladi Sravya (IIST)
2) Video Mosaicing using SIFT features and global motion estimation by Madhusudhan and Prasanthkumar (NIT, Surathkal)
3) SAR image denoising using adaptive and Wavelet filters by Deepak (IIST)
4) K-means and fuzzy k-means clustering on RGB images by Bhuvan Singh
5) Face recognition using 2D PCA by Vineela (NIT Roorkela)
6) Motion and color based object tracking using Particle and Kalman filter by Prudhvi (NIT Surathkal)