Publications


  1. R K Pandey, and A. G. Ramakrishnan, `Efficient document-image super-resolution using convolutional neural network," Sadhana 43.2:15, 2018.
  2. R K Pandey, S R Maiya, and A G Ramakrishnan, ``A new approach for upscaling document images for improving their quality." In 14th IEEE India council international conference (INDICON), pp. 1-6, 2017.
  3. R K Pandey, N Saha, S Karmakar, and A. G. Ramakrishnan, ``MSCE: An Edge-Preserving Robust Loss Function for Improving Super-Resolution Algorithms," In International Conference on Neural Information Processing, pp. 566-575. Springer, Cham, 2018.
  4. R K Pandey, S Karmakar, and A G Ramakrishnan, ``Computationally efficient approaches for image style transfer," In 15th IEEE India Council International Conference, 2018.
  5. R K Pandey, and A. G. Ramakrishnan, ``Improving the Perceptual Quality of Document Images Using Deep Neural Network," In International Symposium on Neural Networks, pp. 448-459. Springer, Cham, 2019.
  6. R K Pandey, S Karmakar, Ramakrishnan A G and N Saha, ``Improving Facial Emotion Recognition Systems with Crucial Feature Extractors," In International Conference on Image Analysis and Processing, pp. 268-279. Springer, Cham 2019.
  7. R K Pandey, H Singh, and A. G. Ramakrishnan, `Improvement of Image Denoising Algorithms by Preserving the Edges," In international conference on computer analysis of images and patterns, pp. 496-506. Springer, Cham, 2019.
  8. R K Pandey, A G Ramakrishnan, S Karmakar, "Effects of Modifying the Input Features and the Loss Function on Improving Emotion Classification," In IEEE Region 10 TENCON, 2019.
  9. Valliappan CA, Avinash Kumar, Renuka Mannem, Karthik Girija Ramesan and Prasanta Kumar Ghosh. "An improved air tissue boundary segmentation technique for real time magnetic resonance imaging video using segnet",In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019, pages: 5921-5925.
  10. Renuka Mannem and Prasanta Kumar Ghosh. "Air-tissue boundary segmentation in real time magnetic resonance imaging video using a convolutional encoder-decoder network",In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Brighton, UK, 2019, pages: 5941-5945.
  11. Valliappan CA, Renuka Mannem and Prasanta Kumar Ghosh, "Air-Tissue Boundary Segmentation in Real-Time Magnetic Resonance Imaging Video using Semantic Segmentation with Fully Convolutional Networks",In Proc. Interspeech, Hyderabad, India,2018, Page(s): 3132-3136.Chandana S, Chiranjeevi Yarra, Ritu Aggarwal, Sanjeev Kumar Mittal, Kausthubha N K,Raseena K T, Astha Singh and Prasanta Kumar Ghosh, "Automatic visualaugmentation for concatenation based synthesized articulatory videos from real-time MRI data for spoken language training, In Proc. Interspeech, Hyderabad, India,2018, Page(s): 3127-3131.
  12. Urvish Desai, Chiranjeevi Yarra and Prasanta Kumar Ghosh, "CONCATENATIVE ARTICULATORY VIDEO SYNTHESIS USING REAL-TIME MRI DATA FOR SPOKEN LANGUAGE TRAINING"In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, page(s): 4999-5003
  13. Advait Koparkar and Prasanta Kumar Ghosh, "A SUPERVISED AIR-TISSUE BOUNDARY SEGMENTATION TECHNIQUE IN REAL-TIME MAGNETIC RESONANCE IMAGING VIDEO USING A NOVEL MEASURE OF CONTRAST AND DYNAMIC PROGRAMMING"In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, page(s): 5004-5008.
  14. Abhay Prasad, Vijitha Periyasamy and Prasanta Kumar Ghosh,"Estimation of the invariant and variant characteristics in speech articulation and its application to speaker identification", in Proc. ICASSP, 19-24 April, 2015, pp 4265 -- 4269.
  15. B. V. Somasundaran, R. Soundararajan and S. Biswas, ”Robust image retrieval by cascading a deep quality assessment network,” Signal Processing: Image Communication, vol. 80, Feb 2020
  16. P. C. Madhusudana and R. Soundararajan, “Subjective and Objective Quality Assessment of Stitched Images for Virtual Reality,” IEEE Transactions on Image Processing, vol. 28, no. 11, pp. 5620-5635, Nov 2019
  17. R. Soundararajan and S. Biswas, “Machine Vision Quality Assessment for Robust Face Detection,” Signal Processing: Image Communication, vol. 72, pp. 92-104, Mar 2019
  18. H. Rahman, R. Soundararajan, and R. Venkatesh Babu,“Evaluating Multi-Exposure Fusion using Image Information,” IEEE Signal Processing Letters, vol. 24, no. 11, pp. 1671-1675, Nov 2017.
  19. S. Balasubramanian and R. Soundararajan, “Prediction of Discomfort due to Egomotion in Immersive Videos for Virtual Reality,” Proc. of IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Beijing, China, Oct 2019
  20. S. Malik and R. Soundararajan, “LLRNet: A Multiscale Subband Learning Approach for Low Light Image Restoration,” Proc. of IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, Sep 2019
  21. B. V. Somasundaran, R. Soundararajan and S. Biswas, ”Image Denoising for Image Retrieval by Cascading a Deep Quality Assessment Network,” Proc. of IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct. 2018
  22. Talha Bin Masood, Sankaran Sandhya, Nagasuma Chandra and Vijay Natarajan. ChExVis: a tool for molecular channel extraction and visualization. BMC Bioinformatics, 2015, 16:119.
  23. Nithin Shivashankar, Pratyush Pranav, Vijay Natarajan, Rien van de Weygaert, E. G. Patrick Bos, and Steven Rieder. Felix: A topology based framework for visual exploration of cosmic filaments. IEEE Transactions on Visualization and Graphics, 22(6), 2016, 1745-1759.
  24. Nithin Shivashankar, Sonali Patil, Amrisha Bhosle, Nagasuma Chandra and Vijay Natarajan. MS3ALIGN: an efficient molecular surface aligner using the topology of surface curvature. BMC Bioinformatics, 2016, 17:26.
  25. Talha Bin Masood and Vijay Natarajan. An integrated geometric and topological approach to connecting cavities in biomolecules. PacificVis 2016: Proc. IEEE Pacific Visualization Symposium, 2016, 104-111.
  26. Raghavendra Sridharamurthy, Talha Bin Masood, Harish Doraiswamy, Siddharth Patel, Raghavan Varadarajan and Vijay Natarajan. Extraction of robust voids and pockets in proteins. In Visualization in Medicine and Life Sciences III. Lars Linsen, Hans-Christian Hege, and Bernd Hamann (Eds.) Springer-Verlag, Mathematics and Visualization Series, 2016, 329-349. Cover Image
  27. Nithin Shivashankar and Vijay Natarajan. Efficient software for programmable visual analysis using Morse-Smale complexes. In Topological Methods in Data Analysis and Visualization IV. Hamish Carr, Christoph Garth, and Tino Weinkauf (Eds.) Springer-Verlag, Mathematics and Visualization Series, 2017, 317-331.
  28. Girijanandan Nucha, Georges-Pierre Bonneau, Stefanie Hahmann and Vijay Natarajan. Computing contour trees for 2D piecewise polynomial functions. Computer Graphics Forum (EuroVis 2017), 36(3), 2017, 23-33.
  29. Akash Anil Valsangkar, Joy Merwin Monteiro, Vidya Narayanan, Ingrid Hotz and Vijay Natarajan. An exploratory framework for cyclone identification and tracking. IEEE Transactions on Visualization and Computer Graphics, 25(3), 2019, 1460-1473.
  30. A. Chakraborty, B. Mandal, J. Yuan, Person Re-identification Using Multiple Egocentric Views, IEEE Transactions on Circuits and Systems for Video Technology, 2017.
  31. A. Chakraborty, A. Das, A. K. Roy-Chowdhury, Network Consistent Data Association, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.
  32. A. Chakraborty, B. Mandal, H. K. Galoogahi, Person Re-identification Using Multiple First-Person-Views on Wearable Devices, Winter Conference on Applications of Computer Vision (WACV), 2016.
  33. A. Das, A. Chakraborty, A. K. Roy-Chowdhury, Consistent Re-identification in a Camera Network, European Conference on Computer Vision, 2014.
  34. Sreedevi Gutta*, Venkata S. Kadimesetty*], Sriram Ganapathy, and Phaneendra K. Yalavarthy, "Convolutional Neural Network based Robust Denoising of Low-Dose Computed Tomography Perfusion Maps," IEEE Transactions on Radiation and Plasma Medical Sciences 2018 (in press). [*Equal Contribution; doi: 10.1109/TRPMS.2018.2860788]
  35. Sreedevi Gutta, Sandeep K. Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy, "Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography," Medical Physics 45(8), 3749-3767 (2018). [doi: 10.1002/mp.13023]
  36. Navchetan Awasthi , Sandeep Kumar Kalva , Manojit Pramanik , Phaneendra K Yalavarthy, "Image Guided Filtering for Improving Photoacoustic Tomographic Image Reconstruction," Journal of Biomedical Optics 23(9), 091413 (2018). [doi: 10.1117/1.JBO.23.9.091413]
  37. Navchetan Awasthi, Sandeep K. Kalva, Manojit Pramanik, and Phaneendra K. Yalavarthy, "Vector Extrapolation Methods for Accelerating Iterative Reconstruction Methods in Limited-Data Photoacoustic Tomography," Journal of Biomedical Optics 23(7), 071204 (2018). [doi: 10.1117/1.JBO.23.7.071204]