Publications


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Image Processing and Computer Vision
  1. Single Image Super-Resolution Using Transformed Self-Exemplars
    Jia-Bin Huang, Abhishek Singh and Narendra Ahuja
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)

  2. Simultaneous Super-Resolution and Denoising of Natural Images
    Abhishek Singh, Fatih Porikli and Narendra Ahuja
    IEEE Transactions on Pattern Analysis and Machine Intelligence. (submitted)

  3. Learning Ramp Transformation for Single Image Super-Resolution
    Abhishek Singh and Narendra Ahuja
    Computer Vision and Image Understanding, 2015

  4. Super-Resolution Using Sub-Band Self-Similarity
    Abhishek Singh and Narendra Ahuja
    Asian Conference on Computer Vision (ACCV 2014)

  5. Super-Resolving Noisy Images
    Abhishek Singh, Fatih Porikli and Narendra Ahuja
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014)

  6. Sub-band Energy Constraints for Self-Similarity Based Super-Resolution
    Abhishek Singh and Narendra Ahuja
    International Conference on Pattern Recognition (ICPR 2014)

  7. Single Image Super-Resolution Using Adaptive Domain Transformation
    Abhishek Singh and Narendra Ahuja
    IEEE International Conference on Image Processing (ICIP 2013)

  8. On Stochastic Gradient Descent and Quadratic Mutual Information for Multimodal Image Registration
    Abhishek Singh and Narendra Ahuja
    IEEE International Conference on Image Processing (ICIP 2013)

  9. Exploiting Ramp Structures for Improving Optical Flow Estimation
    Abhishek Singh and Narendra Ahuja
    International Conference on Pattern Recognition (ICPR 2012)

  10. A Variational Approach for Optimizing Quadratic Mutual Information for Medical Image Registration
    Abhishek Singh, Ying Zhu and Christophe Chefd'hotel
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)

  11. Segmentation of Remotely Sensed Images Using Resampling Based Bayesian Learning
    Abhishek Singh, Padmini Jaikumar and Suman K. Mitra
    Journal of Pattern Recognition Research, vol. 5, no. 1, pp. 119-130, 2010.

  12. A Sampling-Resampling Based Bayesian Learning Approach for Object Tracking
    Abhishek Singh, Padmini Jaikumar and Suman K. Mitra
    Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2008)
    Best Paper Award in IEEE Region 10 (Asia-Pacific) Student Paper Contest 2008

  13. A Bayesian Learning Approach for Clustering of Satellite Images
    Abhishek Singh, Padmini Jaikumar and Suman K. Mitra
    Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2008)

  14. Background Subtraction in Videos Using Bayesian Learning with Motion Information
    Padmini Jaikumar, Abhishek Singh and Suman K. Mitra
    British Machine Vision Conference (BMVC 2008)

  15. Detection and Tracking of Objects in Low Contrast Conditions
    Abhishek Singh, Padmini Jaikumar, Suman K. Mitra, Manjunath V. Joshi and Asim Banerjee
    National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2008)

Pattern Recognition and Machine Learning

  1. The C-Loss Function for Pattern Classification
    Abhishek Singh and Jose Principe
    Pattern Recognition, vol. 47, issue 1, pp. 441-453, Jan 2014.

  2. Online Learning With Kernels: Overcoming the Growing Sum Problem
    Abhishek Singh, Narendra Ahuja and Pierre Moulin
    IEEE Workshop on Machine Learning for Signal Processing (MLSP 2012)

  3. Cost Functions For Supervised Learning Based on a Robust Similarity Metric 
    Abhishek Singh
    M.S. Thesis, Department of Electrical and Computer Engineering, University of Florida, Gainesville. May 2010.

  4. Classification Using Correntropy
    Jose Principe and Abhishek Singh
    US Patent PCT/US11/044932

  5. A Loss Function for Classification Based on a Robust Similarity Metric
    Abhishek Singh and Jose Principe
    International Joint Conference on Neural Networks (IJCNN 2010)

  6. Realistic and efficient 2D crack simulation
    Jacob Yadegar, Xiaoqing Liu and Abhishek Singh
    SPIE International Conference on Defense, Security, and Sensing, 2010.
      
  7. Hidden Markov Models for Modeling Blood Pressure Data to Predict Acute Hypotension
    Abhishek Singh, Tejaswi Tamminedi, Guy Yosiphon, Anurag Ganguli and Jacob Yadegar. 
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)

  8. Efficient Learning of Finite Mixture Densities using Mutual Information
    Padmini Jaikumar, Abhishek Singh and Suman K. Mitra
    International Conference on Advances in Pattern Recognition (ICAPR 2009)

Adaptive Signal Processing

  1. Information Theoretic Learning with Adaptive Kernels
    Abhishek Singh and Jose Principe
    Signal Processing
    , vol. 91, issue 2, pp. 203-213, Feb 2011.
    Listed among Most Viewed Articles of the journal

  2. Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems
    Deniz Erdogmus, Seungju Han and Abhishek Singh 
    Chapter 4, Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives. Jose C. Principe. Springer 2010.

  3. Adaptive Systems Using Correntropy
    Jose Principe, Abhishek Singh and Weifeng Liu
    US Patent PCT/US11/024435

  4. Kernel Width Adaptation in Information Theoretic Cost Functions
    Abhishek Singh and Jose Principe
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)

  5. A Closed Form Recursive Solution for Maximum Correntropy Training
    Abhishek Singh and Jose C. Principe 
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)

  6. Using Correntropy as a Cost Function in Linear Adaptive Filters
    Abhishek Singh and Jose C. Principe
    IEEE International Joint Conference on Neural Networks (IJCNN 2009)
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