Max-Planck-Institut für Informatik
max planck institut
mpii logo Minerva of the Max Planck Society

MPI-INF or MPI-SWS or Local Campus Event Calendar

<< Previous Entry Next Entry >> New Event Entry Edit this Entry Login to DB (to update, delete)
What and Who
Title:Joint Co-localisation and Co-segmentation
Speaker:Abhishek Sharma
coming from:Inria, Saclay
Speakers Bio:
Event Type:Talk
Visibility:D1, D2, D3, D4, D5, RG1, SWS, MMCI
We use this to send out email in the morning.
Level:MPI Audience
Date, Time and Location
Date:Monday, 11 May 2015
Duration:45 Minutes
Building:E1 4
Co-segmentation is the problem of dividing a set of images into regions corresponding to k classes. Previous attempts to solve this problem can be broadly classified into two paradigms: Discriminative [1] and similarity based approach. Discriminative framework[1] do not ímpose any constraint that regions with the same label (eg. foreground) should have similar visual feature distributions. Moreover, the resulting objective function is optimized with a SDP solver, which is not scalable for more than (say) 50 images. Building on the work of [1], we include a foreground model and a linear prior and optimise the resulting function with QP solver, making the current framework suitable to large scale.

Given the successful trend of using object proposals in object detection, we extend the idea for co-segmentation. Intuition being that better spatial support will help discriminative clustering to focus on rich set of features. In the second part, we show how combining Co-localisation [2] with co-segmentation achieves very competitive results on three datasets.

Name(s):Connie Balzert
Phone:0681 9325 2000
Video Broadcast
Video Broadcast:NoTo Location:
Tags, Category, Keywords and additional notes
Attachments, File(s):
  • Connie Balzert, 05/06/2015 01:51 PM
  • Connie Balzert, 05/06/2015 01:50 PM -- Created document.