Journal

  • B. Banerjee and S. Chaudhuri, “Scene recognition from optical remote sensing images using mid-level deep feature mining”, IEEE GRSL , (accepted).
  • Priyadarshini K and S. Chaudhuri, “Cultural Heritage Objects: Bringing Them Alive Through Virtual Touch”, in Digital Hampi: Preserving Indian Cultural Heritage, A. Mallik et al. (Ed.), Springer 978-981-10-5737-3, 2018 (in press).
  • KG Sreeni and S. Chaudhuri, “Haptic Rendering of Oriented Point Cloud of Heritage Objects Using Proxy Projection”, in Heritage Preservation: A computational Approach, B. Chanda et al. (Ed.), Springer, 2018 (in press).
  • S. De, D. Ratha, D. Ratha, A. Bhattacharya and S. Chaudhuri, “Tensorization of Multi-Frequency PolSAR Data for Classification Using an Auto-Encoder Network “, IEEE GRSL (accepted).
  • S. De, F. Bovolo, A. Bhattacharya, L. Bruzzone, and S. Chaudhuri, “A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data”, IEEE JSTAR, pp 154-170, vol-11(1), Jan 2018.
  • B. Chaudhuri, B. Demir, L. Bruzzone, and S. Chaudhuri, “Multi-label Remote Sensing Image Retrieval using a Semi-Supervised Graph-Theoretic Method”, IEEE Trans. Geoscience and Remote Sensing, 2017.
  • B. Banerjee and S. Chaudhuri, “Hierarchical subspace learning based domain adaptation for remote sensing image pairs”, IEEE JSTAR , vol-10(11), pp 5099-5109, 2017
  • V. Gokhale, JK Nair and S. Chaudhuri, “Congestion Control for Network-Aware Telehaptic Communication”, ACM Trans on Multimedia Computing, Communications and Applications, vol-13(2), pp 17:1-17:26, May 2017.
  • A. Hati, S. Chaudhuri and V. Rajbabu, “An Image Texture Insensitive Method for Saliency Detection”, J. Visual Comm. & Image Representation vol. 43, pp. 212-226, Jan 2017.
  • Sunil TT, S. Chaudhuri and M.U. Sharma, “Sensor Selection for E-Nose Applications”, in Pattern Recognition and Big Data , (Eds.) A. Pal and S.K. Pal, World Scientific, Singapore, 2017.
  • Sunil TT, S. Chaudhuri and M.U. Sharma, “Sensor Selection for E-Nose Applications”, in Pattern Recognition: From Classical to Modern Approaches, (Eds.) S.K. Pal and A. Pal, World Scientific, Singapore, 2016 (to appear).
  • B. Chaudhuri, B. Demir, L. Bruzzone, and S. Chaudhuri, “Region-Based Retrieval of Remote Sensing Images using an Unsupervised Graph-Theoretic Approach”, IEEE Geoscience and Remote Sensing Letters, vol-13 (7), pp 987-991, July 2016.
  • Sunil TT, S. Chaudhuri and V. Mishra, “Optimal Selection of SAW Sensors for E-Nose Applications”. Sensors & Actuators – B, , vol-219, pp 238-244, 2015.
  • R. Borse, R. Iyer and S. Chaudhuri, “Embedding capacity estimation of reversible watermarking schemes”, Sadhana: Proc. of Indian Academy of Sciences , vol-39(6), pp 1357-85, Dec 2014.
  • A. Bhardwaj, S. Chaudhuri and O. Dabeer, “Design and Analysis of Predictive Sampling of Haptic Signals”, ACM Trans. on Applied Perception.
  • M.R. Renu, S. Chaudhuri and V. Rajbabu, “Convergence Analysis of a Quadratic Upper Bounded TV Regularizer based Blind Deconvolution”, Signal Processing
  • A. Meka and S. Chaudhuri, “A Technique for Simultaneous Visualization and Segmentation of Hyperspectral Data”, IEEE Trans. on Geoscience and Remote Sensing (TGRS)
  • K. Kotwal and S. Chaudhuri, “A Bayesian Approach to Visualization-oriented Hyperspectral Image Fusion”, Information Fusion
  • K. Kotwal and S. Chaudhuri, “A Novel Approach to Quantitative Evaluation of Hyperspectral Image Fusion Techniques”, Information Fusion, vol-14(1), pp 5-18, Jan 2013.
  • K. Kotwal and S. Chaudhuri, “An Optimization-based Approach to Fusion of Hyperspectral Images”, IEEE JSTARS , vol-5(2), pp 501-509, 2012.
  • H. Bujale and S. Chaudhuri, “Laplacian Based Non-local Means Denoising of MR Images with Rician Noise”, Magnetic Resonance Imaging.
  • H. Bujale and S. Chaudhuri, “Novel Speed-up Strategies for Non-local Means Denoising With Patch and Edge Patch Based Dictionaries”, IEEE Trans. Image Processing
  • R. Shanmuganathan and S. Chaudhuri, “Reconstruction of high contrast images for dynamic scenes”, Visual Computer, vol-27(12), pp 1099-1114, Dec 2011.
  • O. Dabeer and S. Chaudhuri, “Analysis of An Adaptive Sampler Based on Weber’s Law”, IEEE Trans. Signal Processing, vol-59(4), pp 1868-78, Apr 2011.