Saurabh Kumar

Research

Publications

  • S. Kumar, K. Kagawa, H. Nagahara, Learning-assisted Matrix-Pencil Method for Indirect Time of Flight Image Demixing, Computational Optical Sensing and Imaging (Optica), 2022 [pdf]

  • K. Ashutosh, S. Kumar, S. Chaudhuri, 3D-NVS: A 3D Supervision Approach for Next View Selection, International Conference on Pattern Recognition (ICPR), 2022 [arXiv/pdf]

  • A. Bhardwaj, S. Pimpale, S. Kumar, B. Banerjee, Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification, Elsevier Pattern Recognition Letters, 2021 [arXiv/pdf]

  • S. Kumar, B. Banerjee, S. Chaudhuri, Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification, Elsevier Neurocomputing, 2021 [arXiv/pdf]

  • R. K. Kushawaha, S. Kumar, B. Banerjee, R. Velmurugan, Distilling Spikes: Knowledge Distillation in Spiking Neural Networks, International Conference on Pattern Recognition (ICPR), 2020 [arXiv/pdf]

  • S. Kumar, Y. Badiyani, S. Chaudhuri, DeepQuantizedCS: Quantized Compressive Video Recovery using Deep Convolutional Networks, ACM International Conference on Multimedia (MM), 2019 [pdf]

  • S. Pande, A. Banerjee, S. Kumar, B. Banerjee, An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification, IEEE International Conference on Computer Vision Workshops (ICCVw), 2019 [pdf]

  • S. Kumar, S. Chaudhuri, B. Banerjee, F. Ali, Onboard Hyperspectral Image Compression using Compressed Sensing and Deep Learning, European Conference on Computer Vision Workshops (ECCVw), 2018 [pdf]

  • S. Kumar and S. Chaudhuri, A Fast Method for Very Low Bit-Rate Coding of Hyperspectral Images, Indian Conference on Vision, Graphics and Image Processing (ICVGIP), 2018 [pdf]

  • S. Kumar, S. Moothedath, P. Chaporkar, M. Belur, An MCMC based Course to Teaching Assistant Allocation, Proceedings of International Conference on Network, Communication and Computing (ICNCC), 2016 [pdf]

Patents

  • S. Chaudhuri, S. Kumar and Y. Badiyani, Method for Capturing-cum-Compressing Multimedia and Recovering Multimedia on a Device and System thereof, India Patent No. 201921041463, (Filed)

Posters

  • S. Kumar, H. Nagahara, K. Kagawa, Learning-assisted Matrix Pencil Method for Indirect Time of Flight Image Demixing, International Conference on Computational Photography (ICCP) 2021

  • S. Kumar, Y. Badiyani, and S. Chaudhuri, 1-bit Coded Exposure Imaging, International Conference on Computational Photography (ICCP) 2021

  • S. Moothedath, S. Kumar and M. N. Belur, Solving Allocation Problems using Markov Chain Monte Carlo Technique, Indian Control Conference (ICC) 2016.

  • A. Mooknoor, S. Kumar, Senthilnath J., S.N. Omkar, V. Mani, and P.G. Diwakar, Flood Assessment using SAR Image based on Swarm Intelligence, National Symposium and Annual Convention of Indian Society of Remote Sensing, ISRO 2010

Thesis

  • Resource Constrained Visual Data Acquistion and Processing: A Neural Network based Approach, Doctoral Thesis, 2021

  • Low Complexity Onboard Hyperspectral Data Compression, Masters Thesis, 2017

  • Multiscale Retinex with Colour Restoration based Image and Video Enhancement for Aircraft Landing Assist, Bachelors Thesis, 2011

Research and Academic Projects

  • Semantic Consistency driven Multi-label Image Classification via Contrastive Learning, 2018

  • Sparse Phase Coherent Radar Imaging and Inference., 2017

  • Wind Turbine Energy Output Prediction with Neural Networks, 2017

  • 3D Shape Recognition Using Multi-view Convolutional Neural Networks, 2016

  • Transductive Support Vector Machines and Robust Posynomial Fitting, 2016

  • Color Constrained Delaunay Triangulation of 3D Point Clouds, 2016

  • Prediction of Stock Prices using Wavelets and Support Vector Regression, 2015

  • Swarm Intelligence and Texture based Methods for Remote Sensing Image Analysis, 2010.