Subhashis Banerjee

Computer Vision, Machine Learning, Robotics, Real-Time Systems, Image Processing and Pattern Recognition
Subhashis Banerjee is a professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Delhi, where he currently holds the Ministry of Urban Development Chair. Previously he has held the Microsoft and Naren Gupta chair professorships at IIT Delhi. Professor Banerjee's primary areas of research are computer vision and machine learning, with a special emphasis on geometric algorithms. He has also worked extensively on design of computing and networking infrastructure and IT services. Recently he has started examining policy issues in digital identity, data and privacy protection, and fairness and reliability of machine learning algorithms.

PUBLICATIONS

  1. Artificial Intelligence-assisted chest X-ray assessment scheme for COVID-19. Krithika Rangarajan, Sumanyu Muku, Amit Kumar Garg, Pavan Gabra, Sujay Halkur Shankar, Neeraj Nischal, Kapil Dev Soni, Ashu Seith Bhalla, Anant Mohan, Pawan Tiwari, Sushma Bhatnagar, Raghav Bansal, Atin Kumar, Shivanand Gamanagati, Richa Aggarwal, Upendra Baitha, Ashutosh Biswas, Arvind Kumar, Pankaj Jorwal, Shalimar, A. Shariff, Naveet Wig, Rajeshwari Subramanium, Anjan Trikha, Rajesh Malhotra, Randeep Guleria, Vinay Namboodiri, Subhashis Banerjee, Chetan Arora. European Radiology. January 2021. (https://doi.org/10.1007/s00330-020-07628-5.

  2. An operational architecture for privacy-by-design in public service applications. Prashant Agrawal, Anubhutie Singh, Malavika Raghavan, Subodh Sharma, Subhashis Banerjee. Working paper, June 2020.(arXiv).

  3. CovidAID: COVID-19 Detection Using Chest X-Ray. Arpan Mangal, Surya Kalia, Harish Rajgopal, Krithika Rangarajan, Vinay Namboodiri, Subhashis Banerjee, and Chetan Arora. Working paper, April 2020.(arXiv).

  4. An individually verifiable voting protocol with complete cast-as-intended and counted-as-cast guarantees. Prashant Agrawal, Kabir Tomer, Subodh Sharma, Subhashis Banerjee. Working paper, August 2019.(arXiv).

  5. On monitoring development indicators using high resolution satellite images. Potnuru Kishen Suraj, Ankesh Gupta, Makkunda Sharma, Sourabh Bikas Paul, Subhashis Banerjee. Working paper, December 2017.(arXiv).

  6. A Joint 3D-2D based method for free space detection on roads. Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Chetan Arora, Subhashis Banerjee. To appear in IEEE Winter Conference on Applications of Computer Vision (WACV 2018). (arXiv, November 2017VideoWACV presentation video.

  7. Batch based Monocular SLAM for Egocentric Videos. Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee. March 2017. (arXiv, July 2017Video 1Video 2. (Accepted for WACV, 2019)

  8. Deep CNN with Color Lines model for unmarked road segmentation. Shashank Yadav, Suvam Patra, Chetan Arora, Subhashis Banerjee; IEEE International Conference on Image Processing (ICIP 2017), Beijing, September 2017. (PDF)

  9. Divide and Conquer: A Hierarchical Approach to Large-scale Structure-from-Motion. Brojeshwar Bhowmick, Suvam Patra, Avishek Chatterjee, Venu Madhav Govindu, Subhashis Banerjee. Computer Vision and Image Understanding (CVIU), April 2017. (linkVideo.

  10. Computing Egomotion with Local Loop Closures for Egocentric Videos. Suvam Patra, Himanshu Aggarwal, Himani Arora, Chetan Arora, Subhashis Banerjee. IEEE Winter Conference on Applications of Computer Vision (WACV), March 2017. (arXiv link)

  11. Generalized Flows for Optimal Inference in Higher Order MRF-MAP. Chetan Arora, Subhashis Banerjee, Prem Kalra and S. N. Maheshwari. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 37, Issue: 7, pp. 1323 - 1335, July 2015.

  12. Divide and Conquer: Efficient large-scale structure from motion using graph partitioning.. Brojeshwar Bhowmick, Suvam Patra, Avishek Chatterjee, Venu Madhav Govindu, Subhashis Banerjee. ACCV. November 2014, Singapore. Video.

  13. Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems. Chetan Arora, Subhashis Banerjee, Prem Kumar Kalra, S. N. Maheshwari. CVPR 2014: 1338-1345.

  14. Unsupervised Discovery of Activities and Their Temporal Behaviour. Tanveer A. Faruquie, Subhashis Banerjee, Prem Kumar Kalra. AVSS 2012: 100-105.

  15. Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP. Chetan Arora, Subhashis Banerjee, Prem Kalra and S.N. Maheshwari. European Conference on Computer Vision (ECCV 2012).

  16. An Efficient Graph Cut Algorithm for Computer Vision Problems. Chetan Arora, Subhashis Banerjee, Prem Kalra and S.N. Maheshwari. European Conference on Computer Vision (ECCV 2010), pp. 552--565, September, 2010.

  17. Space-time Super-Resolution Using Graph-cut Optimization. Uma Mudenagudi, Subhashis Banerjee and Prem Kalra. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 33 No. 5, pp. 995-1008, May 2011 . Preprint.

  18. View-dependent Character Animation. Parag Chaudhuri, Prem Kalra and Subhashis Banerjee. Springer Research Monograph (ISBN: 1846285917). In Press. December, 2006. (Demo)

  19. Super-resolution using Graph Cut. Uma Mudenagudi, Ram Singla, Prem Kalra and Subhashis Banerjee. ACCV 2006, LNCS 3852. (Demo)

  20. A System for View-Dependent Animation. Parag Chaudhuri, Prem Kalra and Subhashis Banerjee. Eurographics, Grenoble (France), August, 2004. (Demo)

  21. Active Recognition through Next View Planning: A Survey. Sumantra Dutta Roy, Santanu Chaudhury and Subhashis Banerjee. Pattern Recognition, Vol. 37, No. 3, pp. 429-446, March, 2004. (PDF)

  22. Multilevel modelling and rendering of architectural scenes. Akash M Kushal, Gaurav Chanda, Kanishka Shrivastava, Mohit Gupta, Subhajit Sanyal, T.V.N. Sri Ram, Prem Kalra and Subhashis Banerjee. Eurographics. September, 2003. (PDFDemo)

  23. Aspect Graph Construction with Noisy Feature Detectors. Sumantra Dutta Roy, Santanu Chaudhury and Subhashis Banerjee. IEEE Transaction on Systems, Man and Cybernetics - Part B: Cybernetics, Vol. 33, No. 2, pp. 340-351, April, 2003.

  24. A simple method for interactive 3D reconstruction and camera calibration from a single view. Akash M Kushal, Subhajit Sanyal, Vikas Bansal and Subhashis Banerjee. Indian Conference on Computer Vision, Graphics and Image Processing, SAC, Ahmedabad, December 2002. (PDFDemo)

  25. An Uncalibrated Lightfield Acquisition System. Puneet Sharma, Angshuman Parashar, Subhashis Banerjee and Prem Kalra. Indian Conference on Computer Vision, Graphics and Image Processing, SAC, Ahmedabad, December 2002. Also accepted for publication in Journal of Image and Vision Computing. (Demo)

  26. A System for Image Based Rendering of Walk-Throughs. Gaurav Agarwal, Dinesh Rathi, Prem Kalra and Subhashis Banerjee. Computer Graphics International (CGI2002), Bradford, UK. July, 2002. (PDF)

  27. Towards an Automatic Approach for View Dependent Geometry. Rohit Jaivant Kate, Prem Kalra and Subhashis Banerjee. To appear in International Journal of Image and Graphics, World Scientific. (PDF)

  28. Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera. Sumantra Dutta Roy, Santanu Chaudhury and Subhashis Banerjee. IEEE International Conference on Computer Vision, (ICCV), Vancouver, BC, Canada, June 2001. (Postscript (gzipped))

  29. Aspect Graph based Modeling and Recognition with an Active Sensor: A Robust Approach. Sumantra Dutta Roy, Santanu Chaudhury and Subhashis Banerjee. Proc. Indian National Science Academy, Part A (Special Issue on Image Processing, Vision and Pattern Recognition), Vol. 67, No. 2, pp. 187-206, March 2001. (Postscript (gzipped))

  30. Design of Embedded Systems for Real-Time Vision. Vivek Haldar, Gokul Varadhan, Abhishek Saxena, M. Balakrishnan and Subhashis Banerjee. Proc. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'2000), Bangalore, India, December 2000. (Postscript (gzipped))

  31. Part-based Isolated 3-D Object Recognition through Bext View Planning using Inner Camera Invariants. Sumantra Dutta Roy, Santanu Chaudhury and Subhashis Banerjee. Proc. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'2000), Bangalore, India, December 2000.

  32. View Morphing based Facial Video Compression. Shoma Chatterjee, Subhashis Banerjee and K. K. Biswas. Proc. Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'2000), Bangalore, India, December 2000.

  33. Reconstruction of Local Features for Facial Video Compression. Shoma Chatterjee, Subhashis Banerjee and K. K. Biswas. IEEE ICIP'2000, Vancouver, BC, Canada, pp. TA07.02, September 11-13, 2000.

  34. Isolated 3D Object Recognition using Next View Planning. Sumantra Dutta Roy, Santanu Chaudhury and Subhashis Banerjee. IEEE Transactions Systems, Man and Cybernatics - Part A, Vol. 30, No. 1, pp. 67-76, January 2000. (PDF)

  35. Inner Camera Invariants and their Applications. Michael Werman, Maolin Qiu, Subhashis Banerjee and Sumantra Dutta Roy. Technical Report, Dept. Computer Science and Enginnering, IIT Delhi, August 2001. (Postscript (gzipped),PDF)

  36. Recognition of Partially Occluded Objects using Neural Network based Indexing. Navin Rajpal, Santanu Chaudhury and Subhashis Banerjee. Pattern Recognition, Vol. 32, pp. 1737-1749, October, 1999. (PDFPostscript (gzipped))

  37. Affine Structure based Facial Image Encoding. Shoma Chatterjee, Subhashis Banerjee and K. K. Biswas. IEE Proceedings Vision, Image and Signal Processing, Vol. 146, No. 4, pp. 211-221, August, 1999.

  38. Robot Localization using Uncalibrated Camera Invariants. Michael Werman, Subhashis Banerjee, Sumantra Dutta Roy and Maolin Qiu. IEEE CVPR'99, June 23-25, Fort Collins, Colorado, 1999. (Postscript (gzipped))

  39. Real Time Collision Detection and Avoidance: A Case Study for Design Space Exploration in HW-SW Codesign. S. K. Lodha, Shashank Gupta, M. Balakrishnan and Subhashis Banerjee. CSI/IEEE Intl. Conf. on VLSI Design, Chennai, India, pp. "97-102", January 1998. (Postscript (gzipped))

  40. Isolated 3D Object Recognition using Next View Planning. Sumantra Dutta Roy, Santanu Chaudhury and Subhashis Banerjee. Proc. International Symposium on Intelligent Robotics Systems, CAIR, Bangalore. January 9-12, 1998.

  41. Structure based Motion Image Compression using Global and Local Motion Parameters. Shoma Chatterjee, Subhashis Banerjee and K. K. Biswas. Proc. International Symposium on Intelligent Robotics Systems, CAIR, Bangalore. January 9-12, 1998.

  42. Finding Point Correspondences in Motion Sequences Preserving Affine Structure. G. Sudhir, Subhashis Banerjee and Andrew Zisserman. Computer Vision and Image Understanding, Vol. 68, No. 2, pp. 237-246, November, 1997. (Postscript (gzipped))

  43. Object Tracking using Affine Structure for Point Correspondences. Gurmeet Singh Manku, Pankaj Jain, Amit Aggarwal, Lalit Kumar and Subhashis Banerjee. IEEE CVPR'97, June 19-21, San Juan, Puerto Rico. (Postscript (gzipped))

  44. A Cooperative Integration of Stereopsis and Optic Flow Computation. G. Sudhir, Subhashis Banerjee, K. K. Biswas and R. Bahl. Journal of the Optical Society of America A, Vol. 12, No. 12, pp. 2564-2572, December 1995. (Postscript (gzipped))

  45. Real Time Vision System for Collision Detection. Alok Mittal, Aditya Vailaya, Subhashis Banerjee and M. Balakrishnan. Journal of Computer Science and Informatics, Special Issue on Robotics and Automation, 25(1), pp. 174-208, March 1995 (Won the best paper of the year (July' 94 to June' 95) award). (Postscript (gzipped))

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