Computational Vision at UC Irvine  

Efficiently Scaling up Crowdsourced Video Annotation - A Set of Best Practices for High Quality, Economical Video Labeling
Carl Vondrick, Donald Patterson, Deva Ramanan
International Journal of Computer Vision, 2013, 101, 1, 184-204.
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Accurate Motion Deblurring using Camera Motion Tracking and Scene Depth
Hyeoungho Bae, Charless Fowlkes, Pai Chou
IEEE Workshop on Applications of Computer Vision (WACV), 2013.
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Articulated pose estimation with flexible mixtures-of-parts
Yi Yang, Deva Ramanan
IEEE TPAMI, 2013.
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Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati, Deva Ramanan
Advances in Neural Information Processing Systems 25, 2012, 602--610.
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Detecting Actions, Poses, and Objects with Relational Phraselets
Chaitanya Desai, Deva Ramanan
ECCV (4), 2012, 158-172.
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Fast Planar Correlation Clustering for Image Segmentation
Julian Yarkony, Alexander Ihler, Charless Fowlkes
ECCV (6), 2012, 568-581.
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Quantitative Analysis of Axonal Transport by Using Compartmentalized and Surface Micropatterned Culture of Neurons
Hyung Kim, Jeong Park, Jae Byun, Wayne Poon, Carl Cotman, Charless Fowlkes, Noo Jeon
ACS Chemical Neuroscience, 2012, 3, 6, 433--438.
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Feed-forward hierarchical model of the ventral visual stream applied to functional brain image classification
David Keator, James Fallon, Anita Lakatos, Charless Fowlkes, Steven Potkin, Alexander Ihler
Human Brain Mapping, 2012.
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Detecting Activities of Daily Living in First-person Camera Views
Hamed Pirsiavash, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012.
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Face detection, pose estimation and landmark estimation in the wild
Xiangxin Zhu, Deva Ramanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
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Steerable Part Models
Hamed Pirsiavash, Deva Ramanan
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012.
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Patch Mosaic for Fast Motion Deblurring
Hyeoungho Bae, Charless Fowlkes, Pai Chou
Asian Conference on Computer Vision (ACCV), 2012.
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Recognizing proxemics in personal photos
Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
CVPR, 2012, 3522-3529.
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Do we need more training data or better models for object detection?
Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless Fowlkes
British Machine Vision Conference (BMVC), 2012.
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Discriminative Decorrelation for Clustering and Classification
Bharath Hariharan, Jitendra Malik, Deva Ramanan
ECCV (4), 2012, 459-472.
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Shape-based Pedestrian Parsing
Yihang Bo, Charless Fowlkes
CVPR, 2011.
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Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation
Deva Ramanan, Simon Baker
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2011.
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N-best maximal decoders for part models
Dennis Park, Deva Ramanan
ICCV, 2011, 2627-2634.
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Layered Object Models for Image Segmentation
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes
IEEE TPAMI, 2011.
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Planar Cycle Covering Graphs
Julian Yarkony, Alex Ihler, Charless Fowlkes
UAI, 2011.
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Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
NIPS, 2011, 28-36.
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Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2011.
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Shirnk-Film Configurable Multiscale Wrinkles for Functional Alignment of Human Embryonic Stem Cells and their Cardiac Derivatives
Aaron Chen, Deborah Lieu, Lauren Freshauf, Valerie Lew, Himanshu Sharma, Jianxian Wang, Diep Nguyen, Ioannis Karakikes, Roger Hajjar, Ajay Gopinathan, Elliot Botvinick, Charless Fowlkes, Ronald Li, Michelle Khine
Advanced Materials, 2011, 23, 5785-5791.
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Contour Detection and Hierarchical Image Segmentation
Pablo Arbelaez, Michael Maire, Charless Fowlkes, Jitendra Malik
IEEE PAMI, 2011, 33(5).
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Multi-scale Biomimetic Topography for the Alignment of Neonatal and Embryonic Stem Cell-derived Heart Cells
Jesus Luna, Jesus Ciriza, Marcos Ojeda-Garcia, Marco Kong, Anthony Herren, Deborah Lieu, Ronald Li, Charless Fowlkes, Michelle Khine, Kara McCloskey
Tissue Engineering: Part C, 2011, 17(5).
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Articulated pose estimation with flexible mixtures-of-parts
Yi Yang, Deva Ramanan
CVPR, 2011.
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Statistical Tests for Optimization Efficiency
Levi Boyles, Anoop Balan, Deva Ramanan, Max Welling
NIPS, 2011, 2196-2204.
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A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video
Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, C.-C. Chen, Jong Lee, Saurajit Mukherjee, J. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xioyang Wang, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit Roy-Chowdhury, Mita Desai
CVPR, 2011.
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Integrating Local Classifiers through Nonlinear Dynamics on Label Graphs with an Application to Image Segmentation
Yutian Chen, Andrew Gelfand, Charless Fowlkes, Max Welling
Proc. of the International Confernece on Computer Vision, 2011.
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Analysis of Gap Gene Reguation in a 3D Organism-Scale Model of the Drosophila melanogaster Embryo
James Hengenius, Michael Gribskov, Ann Rundell, Charless Fowlkes, David Umulis
PLoS ONE, 2011, 6, e26797.
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Tightening MRF Relaxations with Planar Subproblems
Julian Yarkony, Ragib Morshed, Alex Ihler, Charless Fowlkes
UAI, 2011.
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Discriminative models for multi-class object layout
Chaitanya Desai, Deva Ramanan, Charless Fowlkes
International Journal of Computer Vision, 2011.
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Where's Waldo: Matching People in Images of Crowds
Rahul Garg, Deva Ramanan, Steve Seitz, Noah Snavely
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
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A Conserved Developmental Patterning Network Produces Quantitatively Different Output in Multiple Species of Drosophila
Charless Fowlkes, Kelly Eckenrode, Meghan Bragdon, Miriah Meyer, Zeba Wunderlich, Lisa Simirenko, Cris Luengo, Soile Keränen, Clara, Henriquez, David Knowles, Mark Biggin, Michael Eisen, Angela DePace
PLoS Genetics, 2011, 7, e1002346.
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Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data
Oliver Rübel, Gunther Weber, Min-Yu Huang, E. Bethel, Mark Biggin, Charless Fowlkes, Cris Hendriks, Soile Keränen, Michael Eisen, David Knowles, Jitendra Malik, Hans Hagen, Bernd Hamann
IEEE Transactions on Computational Biology and Bioinformatics, 2010, 7(1), 64-79.
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Covering Trees and Lower-bounds on Quadratic Assignment
Julian Yarkony, Charless Fowlkes, Alex Ihler
CVPR, 2010.
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Robust Tracking of the Upper Limb for Functional Stroke Assessment
Sonya Allin, Nancy Baker, Emily Eckel, Deva Ramanan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (NSRE), 2010.
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Multiresolution models for object detection
Dennis Park, Deva Ramanan, Charless Fowlkes
ECCV, 2010.
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Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Carl Vondrick, Deva Ramanan, Donald Patterson
Proc. of the European Conference on Computer Vision, 2010.
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Discriminative models for static human-object interactions
Chaitanya Desai, Deva Ramanan, Charless Fowlkes
IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Structured Prediction, 2010.
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Natural-scene statistics predict how the figure-ground cue of convexity affects human depth perception
Johannes Burge, Charless Fowlkes, Martin Banks
Jounral of Neuroscience, 2010, 30(21), 7269-7280.
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Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Anil Aswani, Soile Keräen, James Brown, Charless Fowlkes, David Knowles, Mark Biggin, Peter Bickel, Claire Tomlin
BMC Bioinformatics, 2010, 11:413.
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SEMARTCam Scheduler - Semantics Driven Real-Time Data Collection from Indoor Camera Networks to Maximize Event Detection
Ronen Vaisenberg, Sharad Mehrotra, Deva Ramanan
Journal of Real-Time Image Processing (JRTIP), 2010.
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Layered Object Detection for Multi-Class Segmentation
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes
CVPR, 2010.
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Discriminative models for multi-class object layout
Chaitanya Desai, Deva Ramanan, Charless Fowlkes
IEEE International Conference on Computer Vision, 2009.
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Exploiting Semantics for Scheduling Data Collection From Sensors in Real-Time to Maximimize Event Detection
Ronen Vaisenberg, Sharad Mehrotra, Deva Ramanan
Multimedia and Computer Networks (MMCN), 2009.
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Object Detection with Discriminatively Trained Part-Based Models
Pedro Felzenszwalb, Ross Girshick, David McAllester, Deva Ramanan
IEEE Pattern Analysis and Machine Intelligence (PAMI), 2009.
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Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation
Deva Ramanan, Simon Baker
International Conference on Computer Vision (ICCV), 2009.
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Visual Exploration of Three-dimensional Gene Expression Using Physical Views and Linked Abstract Views
Gunther Weber, Oliber Rubel, Min-Yu Huang, Angela DePace, Charless Fowlkes, Soile Keranen, Cris Hendriks, Hans Hagen, David Knowles, Jitendra Malik, Mark Biggin, Bernd Hamann
IEEE Transactions on Computational Biology and Bioinformatics, 2009, 6(2), 296-309.
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From Contours to Regions: An Empirical Evaluation
Pablo Arbelaez, Michael Maire, Charless Fowlkes, Jitendra Malik
CVPR, 2009.
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Bilinear classifiers for visual recognition
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
Neural Info. Proc. Systems (NIPS), 2009.
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Increasing the density of active appearance models
Kannan Ramnath, Simon Baker, Ian Matthews, Deva Ramanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
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Learning Probabilistic Models for Contour Completion.
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
IJCV, 2008, 77, 47-63.
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Using Contours to Detect and Localize Junctions in Natural Images
Michael Maire, Pablo Arbelaez, Charless Fowlkes, Jitendra Malik
CVPR, 2008.
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Unsupervised Learning of Visual Taxonomies
Evgeniy Bart, Ian Porteous, Pietro Perona, Max Welling
CVPR, 2008.
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A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosohpila Blastoderm
Charless Fowlkes, Cris Luengo, Soile Keränen, Gunther Weber, Oliver Rübel, Min-Yu, Huang, Sohail Chatoor, Lisa Simirenko, Angela DePace, Clara, Henriquez, Amy Beaton, Richard Weiszmann, Susan Celniker, Bernd Hamann, David Knowles, Mark Biggin, Michael Eisen, Jitendra Malik
Cell, 2008, 133, 364-374.
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A Discriminatively Trained, Multiscale, Deformable Part Model
Pedro Felzenszwalb, David McAllester, Deva Ramanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
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Hybrid Generative-Discriminative Object Recognition
Alex Holub, Max Welling, Pietro Perona
Int. J. Computer Vision, 2007.
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Assessment of Post Stroke Functioning Using Machine Vision
Sonya Allin, Deva Ramanan
IAPR Conference on Machine Vision Applications (MVA), 2007.
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Leveraging Archival Video for Building Face Datasets
Deva Ramanan, Simon Baker, Sham Kakade
ICCV, 2007, 141.
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Local figure-ground cues are valid for natural images
Charless Fowlkes, David Martin, Jitendra Malik
Journal of Vision, 2007, 7, 8, 1--9.
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Using Segmentation to Verify Object Hypotheses
Deva Ramanan
CVPR, 2007, 1-8.
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Tracking People by Learning Their Appearance
Deva Ramanan, D.A. Forsyth, Andrew Zisserman
PAMI, 2007, 29, 1, 65-81.
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Learning to parse images of articulated bodies
Deva Ramanan
Advances in Neural Information Processing Systems 19, 2007, 1129--1136.
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PointCloudXplore: Visual Analysis of 3D Gene Expression Data Using Physical Views and Parallel Coordinates
O. Rubel, G.H. Weber, S.V.E. Keranen, Charless Fowlkes, C.L. Hendriks, L. Simirenko, N.Y. Shah, M.B. Eisen, M.D. Biggin, H. Hagen, D. Sudar, J. Malik, D.W. Knowles, B. Hamann
Eurographics/IEEE VGTC Symposium on Visualization, 2006, 203--210.
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Cue Integration for Figure/Ground Labeling
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
Advances in Neural Information Processing Systems 18, 2006, 1121--1128.
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Figure/Ground Assignment in Natural Images
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
ECCV, 2006, II: 614-627.
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3D Morphology and Gene Expression in the Drosophila Blastoderm at Cellular Resolution I: Data Acquisition Pipeline
Cris Hendriks, Soile Keränen, Charless Fowlkes, Lisa Simirenko, Gunther Weber, Clara Henriquez, David Kaszuba, Bernd Hamann, Michael Eisen, Jitendra Malik, Damir Sudar, Mark Biggin, David Knowles
Genome Biology, 2006, 7:R123.
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Topographic Product Models Applied to Natural Scene Statistics
Simon Osindero, Max Welling, Geoffrey Hinton
Neural Comput., 2006, 18, 2, 381--414.
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Building Models of Animals from Video
Deva Ramanan, D.A. Forsyth, Kobus Barnard
PAMI, 2006, 28, 8, 1319-1334.
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Inferring nuclear movements from fixed material
Charless Fowlkes, Jitendra Malik
UC Berkeley, 2006, UCB//EECS-06-142.
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Training Deformable Models for Localization
Deva Ramanan, Cristian Sminchisescu
CVPR, 2006, I: 206-213.
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The Rate Adapting Poisson Model for Information Retrieval and Object Recognition
P. Gehler, A. Holub, Max Welling
Proceedings of the 23rd International Conference on Machine Learning (ICML 2006), 2006, 337-344.
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3D Morphology and Gene Expression in the Drosophila Blastoderm at Cellular Resolution II: Dynamics
Soile Keränen, Charless Fowlkes, Cris Hendriks, Damir Sudar, David Knowles, Jitendra Malik, Mark Biggin
Genome Biology, 2006, 7:R124.
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Strike a Pose: Tracking People by Finding Stylized Poses
Deva Ramanan, D.A. Forsyth, Andrew Zisserman
CVPR, 2005, I: 271-278.
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Tracking People and Recognizing Their Activities
Deva Ramanan, D.A. Forsyth, Andrew Zisserman
CVPR, 2005, II: 1194.
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Mid-level cues improve boundary detection
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
UC Berkeley, 2005, UCB//CSD-05-1382.
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Detecting, Localizing and Recovering Kinematics of Textured Animals
Deva Ramanan, D.A. Forsyth, Kobus Barnard
CVPR, 2005, II: 635-642.
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Combining Generative Models and Fisher Kernels for Object Recognition
Alex Holub, Max Welling, Pietro Perona
ICCV, 2005, I: 136-143.
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Scale-Invariant Contour Completion Using Conditional Random Fields
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
ICCV, 2005, II: 1214-1221.
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Computational studies of human motion: part 1, tracking and motion synthesis
David Forsyth, Okan Arikan, Leslie Ikemoto, James O'Brien, Deva Ramanan
Found. Trends. Comput. Graph. Vis., 2005, 1, 2-3, 77--254.
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Registering Drosophila Embryos at Cellular Resolution to Build a Quantitative 3D Atlas of Gene Expression Patterns and Morphology
Charless Fowlkes, Cris Hendriks, Soile Keränen, Mark Biggin, David Knowles, Damir Sudar, Jitendra Malik
CSB 2005 Workshop on BioImage Data Minning and Informatics, 2005.
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Automatic Annotation of Everyday Movements
Deva Ramanan, David Forsyth
Advances in Neural Information Processing Systems 16, 2004.
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Learning to detect natural image boundaries using local brightness, color, and texture cues
David Martin, Charless Fowlkes, Jitendra Malik
IEEE PAMI, 2004, 26, 5, 530-549.
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Spectral Grouping Using the Nyström Method
Charless Fowlkes, Serge Belongie, Fan Chung, Jitendra Malik
IEEE PAMI, 2004, 26, 2, 214-225.
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How Much Does Globalization Help Segmentation?
Charless Fowlkes, Jitendra Malik
UC Berkeley, 2004, UCB//CSD-04-1340.
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Learning Affinity Functions for Image Segmentation: Combining Patch-Based and Gradient-Based Approaches
Charless Fowlkes, David Martin, Jitendra Malik
CVPR, 2003, II: 54-61.
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Finding and tracking people from the bottom up
Deva Ramanan, D.A. Forsyth
CVPR, 2003, II: 467-474.
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Using temporal coherence to build models of animals
Deva Ramanan, D.A. Forsyth
ICCV, 2003, 338-345.
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Learning to Detect Natural Image Boundaries Using Brightness and Texture
David, Martin, Charless, Fowlkes, Jitendra Malik
Advances in Neural Information Processing Systems, 2002.
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Extracting Global Structure from Gene Expression Profiles
Charless Fowlkes, Qun Shan, Serge Belongie, Jitendra Malik
Methods of Microarray Data Analysis II, 2002.
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Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
Serge Belongie, Charless Fowlkes, Fan Chung, Jitendra Malik
ECCV, 2002, III: 531 ff..
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Efficient Spatiotemporal Grouping Using the Nyström Method
Charless Fowlkes, Serge Belongie, Jitendra Malik
CVPR, 2001, I:231-238.
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A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics
David Martin, Charless Fowlkes, Doron Tal, Jitendra Malik
ICCV, 2001, II: 416-423.
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Towards Automatic Discovery of Object Categories
Markus Weber, Max Welling, Pietro Perona
CVPR, 2000, II: 101-108.
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Unsupervised Learning of Models for Recognition
Markus Weber, Max Welling, Pietro Perona
ECCV, 2000, I: 18-32.
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Nonlinear Image Interpolation Through Extended Permutation Filters
Deva Ramanan, Kenneth Barner
ICIP, 2000, Vol I: 912-915.
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Viewpoint-Invariant Learning and Detection of Human Heads
Markus Weber, Wolfgang Einhaeuser, Max Welling, Pietro Perona
AFGR, 2000, 20-27.
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Unsupervised Learning of Models for Recognition
Markus Weber, Max Welling, Pietro Perona
JNSC, 1999.
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