Publications

Latest arXiv Manuscripts [back to top]

topics

Xiao Lin and Devi Parikh

Active Learning for Visual Question Answering: An Empirical Study

https://arxiv.org/abs/1711.01732, 2017


topics

Tanmay Batra and Devi Parikh

Cooperative Learning with Visual Attributes

arxiv.org/abs/1705.05512, 2017



topics

Arjun Chandrasekaran*, Deshraj Yadav*, Prithvijit Chattopadhyay*, Viraj Prabhu*, and Devi Parikh

* equal contribution

It Takes Two to Tango: Towards Theory of AI’s Mind

arxiv.org/abs/1704.00717, 2017


2018 [back to top]

topics

Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, and Dhruv Batra

Visual Dialog

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018

[www.visualdialog.org]


topics

Arjun Chandrasekaran, Devi Parikh, and Mohit Bansal

Punny Captions: Witty Wordplay in Image Descriptions

Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT), 2018


topics

Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, and Dhruv Batra

Embodied Question Answering

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Oral)


topics

Jiasen Lu*, Jianwei Yang*, Dhruv Batra, and Devi Parikh

* equal contribution

Neural Baby Talk

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight)


topics

Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Ani Kembhavi

Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018


2017 [back to top]

topics

Aishwarya Agrawal*, Jiasen Lu*, Stanislaw Antol*, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, and Dhruv Batra

* equal contribution

VQA: Visual Question Answering

Special Issue on Combined Image and Language Understanding

International Journal of Computer Vision (IJCV), 2017

[www.visualqa.org]




topics

Prithvijit Chattopadhyay*, Deshraj Yadav*, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, and Devi Parikh

* equal contribution

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2017


topics

Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, and Dhruv Batra

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017


topics

Ashwin K Vijayakumar, Ramakrishna Vedantam, and Devi Parikh

Sound-Word2Vec: Learning Word Representations Grounded in Sounds

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017


topics

Alexander Miller, W. Feng, Adam Fisch, Jiasen Lu, Dhruv Batra, Antoine Bordes, Devi Parikh, and Jason Weston

ParlAI: A Dialog Research Software Platform

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017 (Demo paper)


topics

Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, and Dhruv Batra

Visual Dialog

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)

[www.visualdialog.org] [video]


topics

Jiasen Lu*, Caiming Xiong*, Devi Parikh, and Richard Socher

* equal contribution

Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)

[code coming soon!]


topics

Ramakrishna Vedantam, Samy Bengio, Kevin P Murphy, Devi Parikh, and Gal Chechik

Context-aware Captions from Context-agnostic Supervision

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)


topics

Prithvijit Chattopadhyay*, Ramakrishna Vedantam*, Ramprasaath R. Selvaraju, Dhruv Batra, and Devi Parikh

* equal contribution

Counting Everyday Objects in Everyday Scenes

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)


topics

Yash Goyal*, Tejas Khot*, D. Summers-Stay, Dhruv Batra, and Devi Parikh

* equal contribution

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering (a.k.a. The VQA v2.0 Dataset)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

[www.visualqa.org] [video]


topics

Jianwei Yang, Anitha Kannan, Dhruv Batra, and Devi Parikh

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

International Conference on Learning Representations (ICLR), 2017


topics

Rogerio Schmidt Feris, Christoph H. Lampert, and Devi Parikh (Editors)

Visual Attributes (Book)

Series on Advances in Computer Vision and Pattern Recognition, Springer, 2017

[springer link]


2016 [back to top]

topics

Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh

Hierarchical Question-Image Co-Attention for Visual Question Answering

Neural Information Processing Systems (NIPS), 2016


topics

Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh and Mohit Bansal

Sort Story: Sorting Jumbled Images and Captions into Stories

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016


topics

Arijit Ray, G. Christie, Mohit Bansal, Dhruv Batra, and Devi Parikh

Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016


topics

Aishwarya Agrawal, Dhruv Batra, and Devi Parikh

Analyzing the Behavior of Visual Question Answering Models

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016


topics

Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick, Devi Parikh, and Dhruv Batra

Human Attention in Visual Question Answering:

Do Humans and Deep Networks Look at the Same Regions?

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016

Also presented at:

Workshop on Visualization for Deep Learning at

International Conference on Machine Learning (ICML), 2016

(Best student paper)


topics

Yash Goyal, Akrit Mohapatra, Devi Parikh, and Dhruv Batra

Towards Transparent AI Systems: Interpreting Visual Question Answering Models

Workshop on Visualization for Deep Learning at

International Conference on Machine Learning (ICML), 2016

(Best student paper)


topics

Xiao Lin and Devi Parikh

Leveraging Visual Question Answering for Image-Caption Ranking

European Conference on Computer Vision (ECCV), 2016



topics

C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, and Devi Parikh

Measuring Machine Intelligence Through Visual Question Answering

AI Magazine (2016)

[www.visualqa.org]



topics

Peng Zhang*, Yash Goyal*, D. Summers-Stay, Dhruv Batra, and Devi Parikh

* equal contribution

Yin and Yang: Balancing and Answering Binary Visual Questions

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016


topics

Satwik Kottur, Ramakrishna Vedantam, José M. F. Moura, and Devi Parikh

* equal contribution

Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

[project page (including code)]


topics

Jianwei Yang, Devi Parikh, and Dhruv Batra

Joint Unsupervised Learning of Deep Representations and Image Clusters

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016


topics

Ting-Hao Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, J. Devlin, Aishwarya Agrawal,

Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, and Margaret Mitchell

Visual Storytelling

Conference of the North American Chapter of the Association for Computational Linguistics:

Human Language Technologies (NAACL HLT), 2016

[project page with dataset]


topics

Nasrin Mostafazadeh, Nate Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, and James F. Allen

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

Conference of the North American Chapter of the Association for Computational Linguistics:

Human Language Technologies (NAACL HLT), 2016 (Oral)

[project page with data and evaluation]


topics

Shrenik Lad, B. Romera Paredes, J. Valentin, Philip Torr, and Devi Parikh

Knowing Who To Listen To: Prioritizing Experts from a Diverse Ensemble for Attribute Personalization

International Conference on Image Processing (ICIP), 2016


topics

C. Lawrence Zitnick, Ramakrishna Vedantam and Devi Parikh

Adopting Abstract Images for Semantic Scene Understanding

Special Issue on the best papers at the

2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016

[project page, data, slides, video, etc.]


topics

Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, and Devi Parikh.

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016

[supplementary material]


2015 [back to top] 

topics

Stanislaw Antol*, Aishwarya Agrawal*, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh

* equal contribution

VQA: Visual Question Answering

International Conference on Computer Vision (ICCV), 2015

[www.visualqa.org]


topics

Ramakrishna Vedantam*, Xiao Lin*, Tanmay Batra, C. Lawrence Zitnick, and Devi Parikh

* equal contribution

Learning Common Sense Through Visual Abstraction

International Conference on Computer Vision (ICCV), 2015

[supplementary material] [project page (under construction)]



topics

Mainak Jas and Devi Parikh

Image Specificity

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 (Oral)

[extended abstract] [talk (video)] [project page with code, data, slides, etc.]


topics

Arturo Deza and Devi Parikh

Understanding Image Virality

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

[extended abstract] [project page with code, data, etc.]


topics

Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh

CIDEr: Consensus-based Image Description Evaluation

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

[extended abstract] [project page with code, data, etc.]


topics

Adriana Kovashka, Devi Parikh and Kristen Grauman

WhittleSearch: Interactive Image Search with Relative Attribute Feedback

International Journal of Computer Vision (IJCV), 2015

[project page and data] [poster] [demo] [video]


2014 [back to top] 

topics

Stanislaw Antol, C. Lawrence Zitnick and Devi Parikh

Zero-Shot Learning via Visual Abstraction.

European Conference on Computer Vision (ECCV), 2014

[project page with code, data, interface]


topics

Shrenik Lad and Devi Parikh

Interactively Guiding Semi-Supervised Clustering via Attribute-based Explanations.

European Conference on Computer Vision (ECCV), 2014

[project page]


topics

Aayush BansalAli Farhadi and Devi Parikh

Towards Transparent Systems: Semantic Characterization of Failure Modes

European Conference on Computer Vision (ECCV), 2014

[project page]


topics

Phillip Isola, Devi Parikh, Jianxiong Xiao, Antonio Torralba and Aude Oliva

What makes a photograph memorable?

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2014


topics

Peng Zhang, J. Wang, Ali Farhadi, Martial Hebert and Devi Parikh

Predicting Failures of Vision Systems

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

[project page]


topics

G. Christie, Amar Parkash, U. Krothapalli and Devi Parikh

Predicting User Annoyance Using Visual Attributes

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

[project page]


topics

Xiao Lin, Michael Cogswell, Devi Parikh and Dhruv Batra

Propose and Re-rank Semantic Segmentation via Deep Image Classification

Big Vision workshop

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014

[project page]


2013 [back to top] 

topics

Aayush Bansal, Adarsh Kowdle, Devi Parikh, Andrew C. Gallagher and C. Lawrence Zitnick

Which Edges Matter?

Workshop on 3D Representation and Recognition (3dRR)

International Conference on Computer Vision (ICCV), 2013


topics

Devi Parikh

Visual Attributes for Enhanced Human-Machine Communication (Invited paper)

Allerton Conference on Communication, Control and Computing, 2013 (Oral)


topics

Naman Turakhia and Devi Parikh

Attribute Dominance: What Pops Out? 

International Conference on Computer Vision (ICCV), 2013

[project page and data] [poster]



topics

Devi Parikh and Kristen Grauman

Implied Feedback: Learning Nuances of User Behavior in Image Search

International Conference on Computer Vision (ICCV), 2013

[supp material] [poster]


topics

C. Lawrence Zitnick, Devi Parikh and Lucy Vanderwende

Learning the Visual Interpretation of Sentences

International Conference on Computer Vision (ICCV), 2013

[project page, data, slides, video, etc.]


topics

C. Lawrence Zitnick and Devi Parikh

Bringing Semantics Into Focus Using Visual Abstraction

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013 (Oral)

[project page, data, slides, video, etc.]


topics

Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun and Devi Parikh

Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

[poster]


topics

Arijit Biswas and Devi Parikh

Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

[project page and data] [poster] [demo]


topics

Mohammad Rastegari, A. Diba, Devi Parikh and Ali Farhadi

Multi-Attribute Queries: To Merge or Not to Merge?

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

[poster]


topics

N. Agrawal, Arijit Biswas, Adriana Kovashka, Kristen Grauman and Devi Parikh

Relative Attributes for Enhanced Human-Machine Communication

Demos at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

[relative description demo] [classifier feedback demo]


2012 [back to top] 

topics

Amar Parkash and Devi Parikh

Attributes for Classifier Feedback

European Conference on Computer Vision (ECCV), 2012 (Oral)

[slides] [talk (video)] [project page and data] [demo]


topics

Devi Parikh, Adriana Kovashka, Amar Parkash and Kristen Grauman

Relative Attributes for Enhanced Human-Machine Communication (Invited paper)

AAAI Conference on Artificial Intelligence (AAAI) 2012 (Oral)

[Relative description demo] [Classifier feedback demo]


topics

Congcong Li, Devi Parikh and Tsuhan Chen

Automatic Discovery of Groups of Objects for Scene Understanding

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012

[project page] [poster]


topics

Adriana Kovashka, Devi Parikh and Kristen Grauman

WhittleSearch: Image Search with Relative Attribute Feedback

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012

[project page and data] [poster] [demo] [video]


topics

Kun Duan, Devi Parikh, David J. Crandall and Kristen Grauman

Discovering Localized Attributes for Fine-grained Recognition

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012

[project page] [poster]


topics

C. Lawrence Zitnick andDevi Parikh

The Role of Image Understanding in Contour Detection

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012

[project page] [data] [poster]


topics

Devi Parikh, Phillip IsolaAntonio Torralba and Aude Oliva

Understanding the Intrinsic Memorability of Images (Abstract)

Visual Sciences Society (VSS), 2012

[project page] [MIT news]



2011 [back to top] 

topics

Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiasen Luo, Tsuhan Chen

Interactive Co-segmentation of Objects in Image Collections (Book)

SpringerBriefs in Computer Science, 2011

[springer link]


topics

Phillip Isola, Devi Parikh, Antonio Torralba and Aude Oliva

Understanding the Intrinsic Memorability of Images

Neural Information Processing Systems (NIPS), 2011

[project page] [MIT news]


topics

Devi Parikh and Kristen Grauman

Relative Attributes

International Conference on Computer Vision (ICCV), 2011 (Oral)

Marr Prize (Best Paper Award) Winner

[project page] [data] [code] [slides] [talk (video)] [poster] [relative description demo] [classifier feedback demo]


topics

Devi Parikh

Recognizing Jumbled Images: The Role of Local and Global Information in Image Classification

International Conference on Computer Vision (ICCV), 2011

[poster] [slides]


topics

Congcong Li, Devi Parikh and Tsuhan Chen

Extracting Adaptive Contextual Cues from Unlabeled Regions

International Conference on Computer Vision (ICCV), 2011

[project page]


topics

Devi Parikh and C. Lawrence Zitnick

Finding the Weakest Link in Person Detectors

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

[project page] [data] [poster] [slides]


topics

Devi Parikh and Kristen Grauman

Interactively Building a Discriminative Vocabulary of Nameable Attributes

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

[supplementary material] [project page] [poster] [slides]


topics

Devi Parikh and Kristen Grauman

Interactive Discovery of Task-Specific Nameable Attributes (Abstract)

First Workshop on Fine-Grained Visual Categorization (FGVC)

held in conjunction with 

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (Best Poster Award)

[project page] [poster]


topics

Andrew Gallagher, Dhruv Batra and Devi Parikh

Inference for Order Reduction in MRFs

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011



topics

C. Lawrence Zitnick and Devi Parikh

Color Source Separation for Enhanced Pixel Manipulations

MSR-TR-2011-98, Microsoft Research, 2011


2010 [back to top]

topics

Devi Parikh and C. Lawrence Zitnick

The Role of Features, Algorithms and Data in Visual Recognition

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010

[poster] [slides]


topics

Dhruv Batra, Andrew Gallagher, Devi Parikh, Tsuhan Chen

Beyond Trees: MRF Inference via Outer-Planar Decomposition

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010

[poster]


topics

Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiasen Luo, Tsuhan Chen

iCoseg: Interactive Co-segmentation with Intelligent Scribble Guidance

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010 

[poster] [project page and dataset]


2009 [back to top]

Devi Parikh

Modeling Context for Image Understanding: When, For What, and How?

Ph.D. Thesis, Carnegie Mellon University, 2009


topics

Dhruv Batra, Devi Parikh, Adarsh Kowdle, Tsuhan Chen and Jiasen Luo

Seed Image Selection in Interactive Cosegmentation

IEEE International Conference on Image Processing (ICIP), 2009


topics

Devi Parikh, C. Lawrence Zitnick and Tsuhan Chen

Unsupervised Learning of Hierarchical Spatial Structures in Images

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009

[poster] [slides]


topics

Dhruv Batra, Adarsh Kowdle, Devi Parikh and Tsuhan Chen

Cutout-Search: Putting a name to the Picture

Workshop on Internet Vision, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009


Dhruv Batra, Adarsh Kowdle, K. Tang, Devi Parikh, Jiasen Luo, Tsuhan Chen

Interactive Cosegmentation by Touch.

Demo at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009

[project page]


topics

C. Mao, H. Lee, Devi Parikh, Tsuhan Chen and S. Huang

Semi-Supervised Cotraining and Active Learning based Approach for Multi-view Intrusion Detection

ACM Symposium on Applied Computing (SAC), 2009


2008 [back to top]

topics

Devi Parikh and [Tsuhan Chen][Tsuhan Chen]

Unsupervised Modeling of Objects and their Hierarchical Contextual Interactions

EURASIP Journal on Image and Video Processing

Special Issue on Patches in Vision, 2008

[slides]


topics

Devi Parikh and [Tsuhan Chen][Tsuhan Chen]

Data Fusion and Cost Minimization for Intrusion Detection

IEEE Transactions on Information Forensics and Security

Special Issue on Statistical Methods for Network Security and Forensics, August 2008


topics

Robi Polikar, A. Topalis, Devi Parikh, D. Green, J. Kounios and C. Clark

An Ensemble Based Data Fusion for Early Diagnosis of Alzheimer’s Disease

Information Fusion, Special Issue on Applications of Ensemble Methods, January 2008


topics

Devi Parikh, C. Lawrence Zitnick and Tsuhan Chen

Determining Patch Saliency Using Low-Level Context

European Conference on Computer Vision (ECCV), 2008

[poster] [slides]


topics

Devi Parikh, C. Lawrence Zitnick and Tsuhan Chen

From Appearance to Context-Based Recognition: Dense Labeling in Small Images

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008

[poster] [slides]


topics

Devi Parikh and Tsuhan Chen

Bringing Diverse Classifiers to Common Grounds: dtransform

International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008

[slides]


topics

Devi Parikh and Gavin Jancke

Localization and Segmentation of a 2D High Capacity Color Barcode

Workshop on Applications in Computer Vision (WACV), 2008

[slides


2007 [back to top]

topics

Devi Parikh and Robi Polikar

An Ensemble Based Incremental Learning Approach to Data Fusion

IEEE Transactions on Systems, Man and Cybernetics, April 2007



topics

Devi Parikh and Tsuhan Chen

Hierarchical Semantics of Objects (hSOs)

IEEE International Conference in Computer Vision (ICCV), 2007

[poster] [slides]


topics

Devi Parikh and Tsuhan Chen

Classification-Error Cost Minimization Strategy: dCMS

IEEE Statistical Signal Processing Workshop, 2007

[poster]


topics

Devi Parikh and Tsuhan Chen

Unsupervised Learning of Hierarchical Semantics of Objects (hSOs)

Beyond Patches Workshop

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007

(Best Paper Award)

[slides]


topics

Devi Parikh, Rahul Sukthankar, Tsuhan Chen and Mei Chen

Feature-based Part Retrieval for Interactive 3D Reassembly

IEEE Workshop on Applications of Computer Vision (WACV), 2007

[poster] [slides]


2006 [back to top]

topics

Robi Polikar, Devi Parikh and Shreekanth Mandayam

Multiple Classifiers System for Multisensor Data Fusion

IEEE Proceedings on Sensors Applications Symposium, 2006


2005 [back to top]

topics

Yusuf A. Mehta, Kauser Jahan, J. Laicovsky, L. Miller, Devi Parikh and A. Lozano

Evaluate the Effect of Coarse and Fine Rubber Particles on Laboratory Rutting Performance of Asphalt Concrete Mixtures

The Journal of Solid Waste Technology And Management, 2005


topics

Devi Parikh, N. Stepenosky, A. Topalis, D. Green, J. Kounios, C. Clark and Robi Polikar

Ensemble Based Data Fusion for Early Diagnosis of Alzheimer’s Disease

IEEE Proceedings on The Engineering in Medicine and Biology, 2005


topics

Devi Parikh and Robi Polikar

A Multiple Classifier Approach for Multisensor Data Fusion

IEEE Proceedings on Information Fusion, 2005


2004 [back to top]

topics

Devi Parikh, M. Kim, J. Oagaro, Shreekanth Mandayam and Robi Polikar

Combining Classifiers for Multisensor Data Fusion

IEEE Proceedings on Systems, Man and Cybernetics, 2004


topics

Devi Parikh, M. Kim, J. Oagaro, Shreekanth Mandayam and Robi Polikar

Ensemble of Classifiers Approach for NDT Data Fusion

IEEE Proceedings on Ultrasonics, Ferroelectrics and Frequency Control, 2004


2002 [back to top]

Webpage design courtesy Abhishek Das.