Devi Parikh

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[Human-debugging] [Attributes (human-machine communication)] [Context] [Hierarchies] [Interactive computer vision] [Energy minimization] [Combining classifiers] [Other ]

Human-debugging [back to top]

	L. Zitnick and D. Parikh The Role of Image Understanding in Contour Detection IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 (to appear)
	D. Parikh and L. Zitnick Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition Pattern Analysis and Machine Intelligence (PAMI), 2012 (to appear)
	D. Parikh and L. Zitnick Human-Debugging of Machines Second Workshop on Computational Social Science and the Wisdom of Crowds Neural Information Processing Systems (NIPS), 2011
	D. Parikh Recognizing Jumbled Images: The Role of Local and Global Information in Image Classification International Conference on Computer Vision (ICCV), 2011 [poster] [slides]
	D. Parikh and L. Zitnick Finding the Weakest Link in Person Detectors IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 [project page] [data] [poster] [slides]
	D. Parikh and L. Zitnick The Role of Features, Algorithms and Data in Visual Recognition IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010 [poster] [slides]

Attributes (human-machine communication) [back to top]

	A. Kovashka, D. Parikh and K. Grauman WhittleSearch: Image Search with Relative Attribute Feedback IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 (to appear)
	K. Duan, D. Parikh, D. Crandall and K. Grauman Discovering Localized Attributes for Fine-grained Recognition IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 (to appear)
	D. Parikh, P. Isola, A. Torralba and A. Oliva Understanding the Intrinsic Memorability of Images (Abstract) Visual Sciences Society (VSS), 2012 (to appear) P. Isola, D. Parikh, A. Torralba and A. Oliva Understanding the Intrinsic Memorability of Images Neural Information Processing Systems (NIPS), 2011 [project page] [MIT news]
	D. Parikh and K. 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] D. Parikh, A. Kovashka, A. Parkash and K. Grauman Relative Attributes for Enhanced Human-Machine Communication (Invited paper) AAAI Conference on Artificial Intelligence (AAAI) 2012 (to appear)
	D. Parikh and K. 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] D. Parikh and K. 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]

Context [back to top]

	C. Li, D. Parikh and T. Chen Automatic Discovery of Groups of Objects for Scene Understanding IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 (to appear)
	C. Li, D. Parikh and T. Chen Extracting Adaptive Contextual Cues from Unlabeled Regions International Conference on Computer Vision (ICCV), 2011 [project page]
	D. Parikh Modeling Context for Image Understanding: When, For What, and How? Ph.D. Thesis, Carnegie Mellon University, 2009
	D. Parikh, L. Zitnick, and T. Chen Determining Patch Saliency Using Low-Level Context European Conference on Computer Vision (ECCV), 2008 [poster] [slides]
	D. Parikh, L. Zitnick and T. Chen Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition Pattern Analysis and Machine Intelligence (PAMI) (to appear) [slides] D. Parikh, L. Zitnick, and T. Chen From Appearance to Context-Based Recognition: Dense Labeling in Small Images IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008 [poster] [slides]
	D. Parikh, and T. 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]

Hierarchies [back to top]

D. Parikh, L. Zitnick and T. Chen

Unsupervised Learning of Hierarchical Spatial Structures in Images

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

[poster] [slides]

D. Parikh, and T. Chen

Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER

Asian Conference in Computer Vision (ACCV), 2007

[poster]

D. Parikh, and T. Chen

Hierarchical Semantics of Objects (hSOs)

IEEE International Conference in Computer Vision (ICCV), 2007

[poster] [slides]

D.Parikh, and T. 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]

D. Parikh, and T. 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]

Interactive computer vision [back to top]

D. Batra, A. Kowdle, D. Parikh, J. Luo, T. Chen

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

SpringerBriefs in Computer Science, 2011.

[springer link]

D. Batra, A. Kowdle, D. Parikh, J. Luo, T. Chen

Interactively Co-segmenting Topically Related Image with Intelligence Scribble Guidance

International Journal of Computer Vision (IJCV), January 2011

[project page and dataset]

D. Batra, A. Kowdle, D. Parikh, J. Luo, T. Chen

iCoseg: Interactive Co-segmentation with Intelligent Scribble Guidance

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

[poster] [project page and dataset]

D. Batra, D. Parikh, A. Kowdle, T. Chen and J. Luo

Seed Image Selection in Interactive Cosegmentation

IEEE International Conference on Image Processing (ICIP), 2009

D. Batra, A. Kowdle, K. Tang, D. Parikh, J. Luo, T. Chen

Demo: Interactive Cosegmentation by Touch.

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

[project page]

D. Batra, A. Kowdle, D. Parikh and T. Chen

Cutout-Search: Putting a name to the Picture

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

Energy minimization [back to top]

A. Gallagher, D. Batra and D. Parikh

Inference for Order Reduction in MRFs

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

D. Batra, A. Gallagher, D. Parikh and T. Chen

Beyond Trees: MRF Inference via Outer-Planar Decomposition

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

[poster]

Combining classifiers [back to top]

C. Mao, H. Lee, D. Parikh, T. Chen and S. Huang

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

ACM Symposium on Applied Computing (SAC), 2009

D. Parikh, and T. 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

D. Parikh, and T. Chen

Bringing Diverse Classifiers to Common Grounds: dtransform

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

[slides]

D. Parikh, and R.Polikar

An Ensemble Based Incremental Learning Approach to Data Fusion

IEEE Transactions on Systems, Man and Cybernetics, April 2007

D.Parikh, and T. Chen

Classification-Error Cost Minimization Strategy: dCMS

IEEE Statistical Signal Processing Workshop, 2007

[poster]

R. Polikar, D. Parikh, and S. Mandayam

Multiple Classifiers System for Multisensor Data Fusion

IEEE Proceedings on Sensors Applications Symposium, 2006

D. Parikh, and R.Polikar

A Multiple Classifier Approach for Multisensor Data Fusion

IEEE Proceedings on Information Fusion, 2005

D. Parikh, M. Kim, J. Oagaro, S.Mandayam, and R.Polikar

Combining Classifiers for Multisensor Data Fusion

IEEE Proceedings on Systems, Man and Cybernetics, 2004

R. Polikar, A. Topalis, D. 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

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

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

IEEE Proceedings on The Engineering in Medicine and Biology, 2005

D. Parikh, M. Kim, J. Oagaro, S.Mandayam, and R.Polikar

Ensemble of Classifiers Approach for NDT Data Fusion

IEEE Proceedings on Ultrasonics, Ferroelectrics and Frequency Control, 2004

Other [back to top]

	L. Zitnick and D. Parikh Color Source Separation for Enhanced Pixel Manipulations MSR-TR-2011-98, Microsoft Research, 2011
	D. Parikh, and G. Jancke Localization and Segmentation of a 2D High Capacity Color Barcode Workshop on Applications in Computer Vision (WACV), 2008 [slides]
	D. Parikh, R. Sukthankar, T. Chen, and M. Chen Feature-based Part Retrieval for Interactive 3D Reassembly IEEE Workshop on Applications of Computer Vision (WACV), 2007 [poster] [slides]
	Y. Mehta, K. Jahan, J. Laicovsky, L. Miller, D. 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 D. Parikh, Y. Mehta, and K. Jahan Evaluate the Effect of Ground Tire Rubber on Laboratory Rutting Performance of Asphalt Concrete Mixtures Proceedings of Industrial and Hazardous Waste Conference, 2002