Search For:

Displaying 1-5 out of 5 total
Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Raghuraman Gopalan,Ruonan Li,Rama Chellappa
Issue Date:November 2014
pp. 1-1
With unconstrained data acquisition scenarios widely prevalent, the ability to handle changes in data distribution across training and testing data sets becomes important. One way to approach this problem is through domain adaptation, and in this paper we ...
 
Domain adaptation for object recognition: An unsupervised approach
Found in: Computer Vision, IEEE International Conference on
By Raghuraman Gopalan, Ruonan Li,Rama Chellappa
Issue Date:November 2011
pp. 999-1006
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we present one of the first studies on unsupervised domain adaptation in the conte...
 
Learning Cross-Domain Information Transfer for Location Recognition and Clustering
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Raghuraman Gopalan
Issue Date:June 2013
pp. 731-738
Estimating geographic location from images is a challenging problem that is receiving recent attention. In contrast to many existing methods that primarily model discriminative information corresponding to different locations, we propose joint learning of ...
 
Joint Sparsity-Based Representation and Analysis of Unconstrained Activities
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Raghuraman Gopalan
Issue Date:June 2013
pp. 2738-2745
While the notion of joint sparsity in understanding common and innovative components of a multi-receiver signal ensemble has been well studied, we investigate the utility of such joint sparse models in representing information contained in a single video s...
 
Detecting humans under partial occlusion using Markov logic networks
Found in: Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop (PerMIS '10)
By Raghuraman Gopalan, William Schwartz
Issue Date:September 2010
pp. 182-186
Identifying humans under partial occlusion is a challenging problem in unconstrained scene understanding. In contrast to many existing works that model human appearance in isolation, we address this problem by studying the semantic context between human fa...
     
 1