Search Results for author: Jubin Johnson

Found 6 papers, 0 papers with code

Person re-identification with fusion of hand-crafted and deep pose-based body region features

no code implementations27 Mar 2018 Jubin Johnson, Shunsuke Yasugi, Yoichi Sugino, Sugiri Pranata, ShengMei Shen

Person re-identification (re-ID) aims to accurately re- trieve a person from a large-scale database of images cap- tured across multiple cameras.

Metric Learning Person Re-Identification

L1-regularized Reconstruction Error as Alpha Matte

no code implementations9 Feb 2017 Jubin Johnson, Hisham Cholakkal, Deepu Rajan

Sampling-based alpha matting methods have traditionally followed the compositing equation to estimate the alpha value at a pixel from a pair of foreground (F) and background (B) samples.

Image Matting Video Matting

Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for Weakly Supervised Top-down Salient Object Detection

no code implementations16 Nov 2016 Hisham Cholakkal, Jubin Johnson, Deepu Rajan

First, the probabilistic contribution of each image region to the confidence of a CNN-based image classifier is computed through a backtracking strategy to produce top-down saliency.

object-detection RGB Salient Object Detection +1

Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency

no code implementations CVPR 2016 Hisham Cholakkal, Jubin Johnson, Deepu Rajan

We propose a weakly supervised top-down saliency framework using only binary labels that indicate the presence/absence of an object in an image.

object-detection Object Detection

A Classifier-guided Approach for Top-down Salient Object Detection

no code implementations22 Apr 2016 Hisham Cholakkal, Jubin Johnson, Deepu Rajan

Although the role of the classifier is to support salient object detection, we evaluate its performance in image classification and also illustrate the utility of thresholded saliency maps for image segmentation.

Classification General Classification +5

Sparse Coding for Alpha Matting

no code implementations11 Apr 2016 Jubin Johnson, Ehsan Shahrian Varnousfaderani, Hisham Cholakkal, Deepu Rajan

In this paper, the matting problem is reinterpreted as a sparse coding of pixel features, wherein the sum of the codes gives the estimate of the alpha matte from a set of unpaired F and B samples.

Image Matting Video Matting

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