Search Results - "Rajagopalan, A. N."

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  1. 1

    Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring by Suin, Maitreya, Purohit, Kuldeep, Rajagopalan, A. N.

    “…This paper tackles the problem of motion deblurring of dynamic scenes. Although end-to-end fully convolutional designs have recently advanced the…”
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    Conference Proceeding
  2. 2

    Identification of humans using gait by Kale, A., Sundaresan, A., Rajagopalan, A.N., Cuntoor, N.P., Roy-Chowdhury, A.K., Kruger, V., Chellappa, R.

    Published in IEEE transactions on image processing (01-09-2004)
    “…We propose a view-based approach to recognize humans from their gait. Two different image features have been considered: the width of the outer contour of the…”
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    Journal Article
  3. 3

    Depth From Motion and Optical Blur With an Unscented Kalman Filter by Paramanand, C., Rajagopalan, A. N.

    Published in IEEE transactions on image processing (01-05-2012)
    “…Space-variantly blurred images of a scene contain valuable depth information. In this paper, our objective is to recover the 3-D structure of a scene from…”
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    Journal Article
  4. 4

    Shape from Sharp and Motion-Blurred Image Pair by Paramanand, C., Rajagopalan, A. N.

    Published in International journal of computer vision (01-05-2014)
    “…Motion blur due to camera shake is a common occurrence. During image capture, the apparent motion of a scene point in the image plane varies according to both…”
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    Journal Article
  5. 5

    Shape-From-Focus by Tensor Voting by Hariharan, R., Rajagopalan, A. N.

    Published in IEEE transactions on image processing (01-07-2012)
    “…In this correspondence, we address the task of recovering shape-from-focus (SFF) as a perceptual organization problem in 3-D. Using tensor voting, depth…”
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    Journal Article
  6. 6

    Localize to Binauralize: Audio Spatialization from Visual Sound Source Localization by Rachavarapu, Kranthi Kumar, Aakanksha, Sundaresha, Vignesh, N, Rajagopalan A.

    “…Videos with binaural audios provide immersive viewing experience by enabling 3D sound sensation. Recent works attempt to generate binaural audio in a…”
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    Conference Proceeding
  7. 7

    Resolution Enhancement in Multi-Image Stereo by Bhavsar, A V, Rajagopalan, A N

    “…Under stereo settings, the twin problems of image superresolution (SR) and high-resolution (HR) depth estimation are intertwined. The subpixel registration…”
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    Journal Article
  8. 8

    Harnessing Motion Blur to Unveil Splicing by Rao, Makkena Purnachandra, Rajagopalan, A. N., Seetharaman, Guna

    “…The extensive availability of sophisticated image editing tools has rendered it relatively easy to produce fake images. Image splicing is a form of tampering…”
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    Journal Article
  9. 9

    Dealing With Parallax in Shape-From-Focus by Sahay, R R, Rajagopalan, A N

    Published in IEEE transactions on image processing (01-02-2011)
    “…We propose a new method that extends the capability of shape-from-focus (SFF) to estimate the depth profile of 3-D objects in the presence of…”
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    Journal Article
  10. 10

    Super-Resolution of Face Images Using Kernel PCA-Based Prior by Ayan Chakrabarti, Rajagopalan, A.N., Rama Chellappa

    Published in IEEE transactions on multimedia (01-06-2007)
    “…We present a learning-based method to super-resolve face images using a kernel principal component analysis-based prior model. A prior probability is…”
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    Journal Article
  11. 11

    Superresolution of License Plates in Real Traffic Videos by Suresh, K.V., Kumar, G.M., Rajagopalan, A.N.

    “…In this paper, a novel method to enhance license plate numbers of moving vehicles in real traffic videos is proposed. A high-resolution image of the number…”
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    Journal Article
  12. 12

    Towards Unrestrained Depth Inference with Coherent Occlusion Filling by Bhavsar, Arnav V., Rajagopalan, A. N.

    Published in International journal of computer vision (01-04-2012)
    “…Traditional depth estimation methods typically exploit the effect of either the variations in internal parameters such as aperture and focus (as in depth from…”
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    Journal Article
  13. 13

    Natural Matting for Degraded Pictures by Prabhu, S. M., Rajagopalan, A. N.

    Published in IEEE transactions on image processing (01-12-2011)
    “…A new approach for image matting is proposed based on the Kalman filter, to extract the matte and original foreground, despite the presence of noise in the…”
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    Journal Article
  14. 14

    Distortion Disentanglement and Knowledge Distillation for Satellite Image Restoration by Kandula, Praveen, Rajagopalan, A. N.

    “…Satellite images are typically subject to multiple distortions. Different factors affect the quality of satellite images, including changes in atmosphere,…”
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    Journal Article
  15. 15

    Bringing Alive Blurred Moments by Purohit, Kuldeep, Shah, Anshul, Rajagopalan, A. N.

    “…We present a solution for the goal of extracting a video from a single motion blurred image to sequentially reconstruct the clear views of a scene as beheld by…”
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    Conference Proceeding
  16. 16

    Local Proximity for Enhanced Visibility in Haze by Mandal, Srimanta, Rajagopalan, A. N.

    Published in IEEE transactions on image processing (01-01-2020)
    “…Atmospheric medium often constrains the visibility of outdoor scenes due to scattering of light rays. This causes attenuation in the irradiance reaching the…”
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    Journal Article
  17. 17

    Illumination-adaptive Unpaired Low-light Enhancement by Kandula, Praveen, Suin, Maitreya, Rajagopalan, A. N.

    “…Supervised networks address the task of low-light enhancement using paired images. However, collecting a wide variety of low-light/clean paired images is…”
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    Journal Article
  18. 18

    Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation by Aakanksha, Rajagopalan, A. N.

    “…Semantic segmentation involves classifying each pixel into one of a pre-defined set of object/stuff classes. Such a fine-grained detection and localization of…”
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    Conference Proceeding
  19. 19

    Spatially-Adaptive Image Restoration using Distortion-Guided Networks by Purohit, Kuldeep, Suin, Maitreya, Rajagopalan, A. N., Naresh Boddeti, Vishnu

    “…We present a general learning-based solution for restoring images suffering from spatially-varying degradations. Prior approaches are typically…”
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    Conference Proceeding
  20. 20

    A Recursive Filter for Despeckling SAR Images by Subrahmanyam, G.R.K.S., Rajagopalan, A.N., Aravind, R.

    Published in IEEE transactions on image processing (01-10-2008)
    “…This correspondence proposes a recursive algorithm for noise reduction in synthetic aperture radar imagery. Excellent despeckling in conjunction with feature…”
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    Journal Article