D. Huttenlocher

发表

Efficient belief propagation for early vision

Pedro F. Felzenszwalb, D. Huttenlocher, 2004, CVPR 2004.

A unified spatio-temporal articulated model for tracking

D. Huttenlocher, X. Lan, 2004, CVPR 2004.

Pictorial Structures for Object Recognition

Daniel P. Huttenlocher, Pedro F. Felzenszwalb, D. Huttenlocher, 2004, International Journal of Computer Vision.

Efficient matching of pictorial structures

Daniel P. Huttenlocher, Pedro F. Felzenszwalb, D. Huttenlocher, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Mapping the world's photos

Jon M. Kleinberg, Daniel P. Huttenlocher, David J. Crandall, 2009, WWW '09.

Spatial priors for part-based recognition using statistical models

Daniel P. Huttenlocher, David J. Crandall, Pedro F. Felzenszwalb, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Efficient Graph-Based Image Segmentation

Daniel P. Huttenlocher, Pedro F. Felzenszwalb, D. Huttenlocher, 2004, International Journal of Computer Vision.

Composite Models of Objects and Scenes for Category Recognition

Daniel P. Huttenlocher, David J. Crandall, D. Huttenlocher, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Comparing Images Using the Hausdorff Distance

Daniel P. Huttenlocher, William Rucklidge, Gregory A. Klanderman, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Efficiently computing a good segmentation

Pedro F. Felzenszwalb, D. Huttenlocher, 1998 .

Three-Dimensional Recognition of Solid Objects from a Two- Dimensional Image

D. Huttenlocher, 1988 .

Tracking non-rigid objects in complex scenes

Daniel P. Huttenlocher, William Rucklidge, Jae J. Noh, 1993, 1993 (4th) International Conference on Computer Vision.

Landmark classification in large-scale image collections

Daniel P. Huttenlocher, David J. Crandall, Yunpeng Li, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Distance Transforms of Sampled Functions

Daniel P. Huttenlocher, Pedro F. Felzenszwalb, D. Huttenlocher, 2012, Theory Comput..

Efficient Belief Propagation for Early Vision

Daniel P. Huttenlocher, Pedro F. Felzenszwalb, D. Huttenlocher, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

An efficiently computable metric for comparing polygonal shapes

Esther M. Arkin, Joseph S. B. Mitchell, Daniel P. Huttenlocher, 1991, SODA '90.

Affine Matching With Bounded Sensor Error: Study of Geometric Hashing and Alignment

D. Huttenlocher, W. Grimson, D. Jacobs, 1991 .

Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts

Andrew Zisserman, Daniel P. Huttenlocher, Mark Everingham, 2008, BMVC.

Beyond trees: common-factor models for 2D human pose recovery

Daniel P. Huttenlocher, Xiangyang Lan, D. Huttenlocher, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Scene modeling for wide area surveillance and image synthesis

Daniel P. Huttenlocher, Anurag Mittal, D. Huttenlocher, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

A multi-resolution technique for comparing images using the Hausdorff distance

Daniel P. Huttenlocher, William Rucklidge, D. Huttenlocher, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis

Jon M. Kleinberg, Daniel P. Huttenlocher, Pedro F. Felzenszwalb, 2003, NIPS.

Efficient Belief Propagation with Learned Higher-Order Markov Random Fields

Michael J. Black, Daniel P. Huttenlocher, Stefan Roth, 2006, ECCV.

On the Verification of Hypothesized Matches in Model-Based Recognition

W. Eric L. Grimson, Daniel P. Huttenlocher, D. Huttenlocher, 1991, IEEE Trans. Pattern Anal. Mach. Intell..

A new Bayesian framework for object recognition

Daniel P. Huttenlocher, Yuri Boykov, D. Huttenlocher, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Digipaper: a versatile color document image representation

Daniel P. Huttenlocher, William Rucklidge, Pedro F. Felzenszwalb, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Object Recognition by Combining Appearance and Geometry

Daniel P. Huttenlocher, David J. Crandall, Pedro F. Felzenszwalb, 2006, Toward Category-Level Object Recognition.

Image segmentation using local variation

Daniel P. Huttenlocher, Pedro F. Felzenszwalb, D. Huttenlocher, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

On the sensitivity of geometric hashing

W. Eric L. Grimson, Daniel P. Huttenlocher, D. Huttenlocher, 1990, [1990] Proceedings Third International Conference on Computer Vision.

Automatic target recognition by matching oriented edge pixels

Clark F. Olson, Daniel P. Huttenlocher, D. Huttenlocher, 1997, IEEE Trans. Image Process..

Recognition by matching dense, oriented edge pixels

D. Huttenlocher, C. Olson, 1995, Proceedings of International Symposium on Computer Vision - ISCV.

Recognition by Matching With Edge Location and Orientation

D. Huttenlocher, C. Olson, D. Doria, 1996 .

View-Based Recognition Using an Eigenspace Approximation to the Hausdorff Measure

Clark F. Olson, Daniel P. Huttenlocher, Ryan H. Lilien, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Worldwide Pose Estimation Using 3D Point Clouds

Pascal Fua, Daniel P. Huttenlocher, Noah Snavely, 2012, ECCV.

Recognizing solid objects by alignment with an image

Shimon Ullman, Daniel P. Huttenlocher, S. Ullman, 1990, International Journal of Computer Vision.

On the Sensitivity of the Hough Transform for Object Recognition

W. Eric L. Grimson, Daniel P. Huttenlocher, D. Huttenlocher, 1990, IEEE Trans. Pattern Anal. Mach. Intell..

Discrete-continuous optimization for large-scale structure from motion

Andrew Owens, Daniel P. Huttenlocher, David J. Crandall, 2011, CVPR 2011.

Sequential Influence Models in Social Networks

Jon M. Kleinberg, Daniel P. Huttenlocher, Dan Cosley, 2010, ICWSM.

A model of lexical access from partial phonetic information

Victor Zue, Daniel P. Huttenlocher, D. Huttenlocher, 1984, ICASSP.

Exploring phonotactic lexical constraints in word recognition

D. Huttenlocher, V. Zue, 1983 .

The upper envelope of voronoi surfaces and its applications

Micha Sharir, Daniel P. Huttenlocher, Klara Kedem, 1991, SCG '91.

Team Cornell's Skynet: Robust perception and planning in an urban environment

Ephrahim Garcia, Daniel P. Huttenlocher, Frank-Robert Kline, 2008 .

On Invariants of Sets of Points or Line Segments Under Projection

D. Huttenlocher, J. Kleinberg, 1992 .

Stable and Efficient Tracking of Multiple Dynamic Obstacles Under Large Viewpoint Changes

D. Huttenlocher, M. Campbell, I. Miller, 2008 .

J. Hopcroft, D. Huttenlocher, B. Kernighan, 1994 .

The MIT–Cornell collision and why it happened

Luke Fletcher, Jonathan P. How, Edwin Olson, 2008, J. Field Robotics.

Efficient Belief Propagation for Early Vision

Daniel P. Huttenlocher, Pedro F. Felzenszwalb, D. Huttenlocher, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

On The Sensitivity Of The Hough Transform For Object Recognition

W. Eric L. Grimson, Daniel P. Huttenlocher, D. Huttenlocher, 1988, [1988 Proceedings] Second International Conference on Computer Vision.

Graph Theory Based Approach For Image Segmentation Using Wavelet Transform

Pedro F. Felzenszwalb, D. Huttenlocher, 2014 .

Method for determining word forms the following comparative

Daniel P. Huttenlocher, Michael J Hopcroft, D. Huttenlocher, 1992 .

Affine invariants for model-based recognition

Daniel P. Huttenlocher, John E. Hopcroft, Peter C. Wayner, 1992 .

Stereopsis and Motion : Extracting Shape from Images 1 Middle Level Vision

D. Huttenlocher, 2002 .

Introduction to the Special Issue on Interpretation of 3-D Scenes

W. Eric L. Grimson, Daniel P. Huttenlocher, D. Huttenlocher, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

Group formation in large social networks: membership, growth, and evolution

Jon M. Kleinberg, Daniel P. Huttenlocher, Lars Backstrom, 2006, KDD '06.

On dynamic Voronoi diagrams and the minimum Hausdorff distance for point sets under Euclidean motion in the plane

Jon M. Kleinberg, Daniel P. Huttenlocher, Klara Kedem, 1992, SCG '92.

Computing the minimum Hausdorff distance for point sets under translation

Daniel P. Huttenlocher, Klara Kedem, D. Huttenlocher, 1990, SCG '90.

Predicting positive and negative links in online social networks

Jure Leskovec, Jon M. Kleinberg, Daniel P. Huttenlocher, 2010, WWW '10.

Signed networks in social media

Jure Leskovec, Jon M. Kleinberg, Daniel P. Huttenlocher, 2010, CHI.

Map‐aided localization in sparse global positioning system environments using vision and particle filtering

Mark E. Campbell, Isaac Miller, Daniel P. Huttenlocher, 2011, J. Field Robotics.

Efficient Unbiased Tracking of Multiple Dynamic Obstacles Under Large Viewpoint Changes

Mark E. Campbell, Isaac Miller, Daniel P. Huttenlocher, 2011, IEEE Transactions on Robotics.

Inferring social ties from geographic coincidences

Dan Cosley, David J. Crandall, Lars Backstrom, 2010, Proceedings of the National Academy of Sciences.

Comparing images using the Hausdorff distance under translation

Daniel P. Huttenlocher, William Rucklidge, Gregory A. Klanderman, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Fast detection of common geometric substructure in proteins

Jon M. Kleinberg, Daniel P. Huttenlocher, Klara Kedem, 1999, J. Comput. Biol..

Phonotactic and Lexical Constraints in Speech Recognition

Daniel P. Huttenlocher, Victor W. Sue, D. Huttenlocher, 1983, AAAI.

Team Cornell's Skynet: Robust perception and planning in an urban environment

Ephrahim Garcia, Mark E. Campbell, Isaac Miller, 2008, J. Field Robotics.

Coordination and Efficiency in Decentralized Collaboration

Jon M. Kleinberg, Daniel P. Huttenlocher, Daniel M. Romero, 2015, ICWSM.

Adaptive Bayesian recognition in tracking rigid objects

Daniel P. Huttenlocher, Yuri Boykov, D. Huttenlocher, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Discovering value from community activity on focused question answering sites: a case study of stack overflow

Jure Leskovec, Jon M. Kleinberg, Daniel P. Huttenlocher, 2012, KDD.

Steering user behavior with badges

Jure Leskovec, Jon M. Kleinberg, Daniel P. Huttenlocher, 2013, WWW.

Engaging with massive online courses

Jure Leskovec, Jon M. Kleinberg, Daniel P. Huttenlocher, 2014, WWW.

Location Recognition Using Prioritized Feature Matching

Daniel P. Huttenlocher, Noah Snavely, Yunpeng Li, 2010, ECCV.

Effects of user similarity in social media

Jure Leskovec, Jon M. Kleinberg, Daniel P. Huttenlocher, 2012, WSDM '12.

Generating sharp panoramas from motion-blurred videos

Daniel P. Huttenlocher, Steven M. Seitz, Sing Bing Kang, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Geometric Pattern Matching Under Euclidean Motion

Michael T. Goodrich, Jon M. Kleinberg, Daniel P. Huttenlocher, 1993, Comput. Geom..

Finding convex edge groupings in an image

Daniel P. Huttenlocher, Peter C. Wayner, P. Wayner, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Governance in Social Media: A Case Study of the Wikipedia Promotion Process pdf

Jure Leskovec, Jon M. Kleinberg, Daniel P. Huttenlocher, 2010, ICWSM.

Feedback effects between similarity and social influence in online communities

Jon M. Kleinberg, Daniel P. Huttenlocher, Dan Cosley, 2008, KDD.

Traffic-based feedback on the web

Jon Kleinberg, Antal F. Novak, Jonathan Aizen, 2004, Proceedings of the National Academy of Sciences of the United States of America.

From Wayback Machine to Yesternet : New Opportunities for Social Science

William Y. Arms, Jon Kleinberg, Michael Macy, 2006 .

Learning for stereo vision using the structured support vector machine

Daniel P. Huttenlocher, Yunpeng Li, D. Huttenlocher, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Computer Vision – ECCV 2012

Pascal Fua, Noah Snavely, Dan Huttenlocher, 2012, Lecture Notes in Computer Science.

A unified spatio-temporal articulated model for tracking

Daniel P. Huttenlocher, Xiangyang Lan, D. Huttenlocher, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Learning for Optical Flow Using Stochastic Optimization

Daniel P. Huttenlocher, Yunpeng Li, D. Huttenlocher, 2008, ECCV.

Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition

Daniel P. Huttenlocher, David J. Crandall, D. Huttenlocher, 2006, ECCV.

A method and apparatus for reproducing Font free, structured documents

Daniel P. Huttenlocher, John Seely Brown, William J. Rucklidge, 1997 .

Visually-guided navigation by comparing edge images

Daniel P. Huttenlocher, Michael E. Leventon, W. J. Rucklidge, 1995 .

Mapping the world's photos

David J. Crandall, D. Huttenlocher, J. Kleinberg, 2009, WWW '09.

Recognizing Landmarks in Large-Scale Social Image Collections

Daniel P. Huttenlocher, Stefan Lee, David J. Crandall, 2016, Large-Scale Visual Geo-Localization.

Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily

Jure Leskovec, Jon M. Kleinberg, Daniel P. Huttenlocher, 2015, WWW.

Shared annotation for cooperative learning

Daniel P. Huttenlocher, James R. Davis, J. R. Davis, 1995, CSCL.

Fast affine point matching: an output-sensitive method

Daniel P. Huttenlocher, D. Huttenlocher, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Introduction to the Special Issue on Interpretation of 3-D Scenes-Part I

W. Eric L. Grimson, Daniel P. Huttenlocher, D. Huttenlocher, 1991, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Eeciently Computing a Good Segmentation

Pedro F. Felzenszwalb, D. Huttenlocher, SegmentationPedro F. Felzenszwalb, 1998 .

Upper Body Detection and Tracking in Extended Signing Sequences

Andrew Zisserman, Daniel P. Huttenlocher, Mark Everingham, 2011, International Journal of Computer Vision.

Efficient Graph-Based Image Segmentation

Pedro F. Felzenszwalb, D. Huttenlocher, 2004, International Journal of Computer Vision.

Pictorial Structures for Object Recognition

Pedro F. Felzenszwalb, D. Huttenlocher, 2004, International Journal of Computer Vision.

Team Cornell's Skynet: Robust perception and planning in an urban environment

Michael Fleming, Dennis Hong, Patrick Currier, 2008 .

SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion

David J. Crandall, D. Huttenlocher, Andrew Owens, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sparse Long-Range Random Field and Its Application to Image Denoising

Daniel P. Huttenlocher, Yunpeng Li, D. Huttenlocher, 2008, ECCV.

A study of affine matching with bounded sensor error

W. Eric L. Grimson, Daniel P. Huttenlocher, David W. Jacobs, 1992, International Journal of Computer Vision.