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20162022
most citedLP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks

5 citations · 12 across the 18 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.CV2017

Deep Generative Filter for Motion Deblurring

Sainandan Ramakrishnan, Shubham Pachori. Aalok Gangopadhyay, Shanmuganathan Raman

Removing blur caused by camera shake in images has always been a challenging problem in computer vision literature due to its ill-posed nature. Motion blur caused due to the relati…

cs.CV2017

Facial Expression Recognition using Visual Saliency and Deep Learning

Viraj Mavani, Shanmuganathan Raman, Krishna P Miyapuram

We have developed a convolutional neural network for the purpose of recognizing facial expressions in human beings. We have fine-tuned the existing convolutional neural network mod…

cs.CV2017

Automatic Trimap Generation for Image Matting

Vikas Gupta, Shanmuganathan Raman

Image matting is a longstanding problem in computational photography. Although, it has been studied for more than two decades, yet there is a challenge of developing an automatic m…

cs.CV2017

Iterative Spectral Clustering for Unsupervised Object Localization

Aditya Vora, Shanmuganathan Raman

This paper addresses the problem of unsupervised object localization in an image. Unlike previous supervised and weakly supervised algorithms that require bounding box or image lev…

cs.CV2017

Flow-free Video Object Segmentation

Aditya Vora, Shanmuganathan Raman

Segmenting foreground object from a video is a challenging task because of the large deformations of the objects, occlusions, and background clutter. In this paper, we propose a fr…

cs.CV20171 cited

Hashing in the Zero Shot Framework with Domain Adaptation

Shubham Pachori, Ameya Deshpande, Shanmuganathan Raman

Techniques to learn hash codes which can store and retrieve large dimensional multimedia data efficiently have attracted broad research interests in the recent years. With rapid ex…