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UCSD Computer Vision

Serge Belongie, Faculty

More info at: http://vision.ucsd.edu/~sjb





Projects


Urban Tribes

Image sharing via social networks has produced exciting opportunities for the computer vision community in areas including face, text, product and scene recognition. In this work we turn our attention to group photos of people at different social events. People can guess plenty of implicit informati...

Image Based Geolocalization

Image-based Geo-localization is a relatively new and challenging problem in Computer Vision. It is simply defined as: given a photo, where was it taken? In this project, we are interested in: 1) localizing a ground-level image with an aerial imagery gallery by cross-view image matching 2) designin...

Facial Attractiveness and Relative Ranking

Automatic evaluation of human facial attractiveness is a challenging problem that has received little attention from the computer vision community. Here, we approach beauty from a relative ranking perspective. Our training data are faces sorted based on a individuals's personal preference, which we ...

Multi-Image and Video-Based Face Recognition

Face recognition is an important problem in computer vision with applications ranging from surveillance to robotics to the organization of personal image collections. In this work we focus on unconstrained face recognition in videos. The setup consists of a set of gallery videos (or images) for eac...

Perception of Reflectance

We design and implement a comprehensive study of the perception of gloss. This is the largest study of its kind to date, and the first to use real material measurements. In addition, we develop a novel Multi-Dimensional Scaling (MDS) algorithm for analyzing pairwise comparisons. The data from the p...

GrOCR

GrOCR is an ongoing research project for word recognition in unconstrained images. The name is derived from the original impetus of the project, OCR for reading text on products found in grocery stores. While the focus of the project has moved beyond just that domain, the name has remained the same.

Visipedia

Visipedia is a joint project between Pietro Perona's Vision Group at Caltech and Serge Belongie's Vision Group at UCSD. Visipedia, short for "Visual Encyclopedia," is an augmented version of Wikipedia, where pictures are first-class citizens alongside text. Goals of Visipedia include creation of h...

Computer Vision Methods For Coral Reef Assessment

Across the world, coral reefs, with their delicate ecological balance, are suffering from the effects of climate change and pollution. In order to influence decisions makes to take action, accurate large scale monitoring systems need to be in place. With the proliferation of digital cameras and a...

Similarity Metrics for Categorization: from Monolithic to Category Specific

Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjunction with a nearest neighbor classifier, or can be plugged in as kernels to an SVM. For the task of categorization two s...

Fire Detection in Video

Smoke detectors and heat detectors currently provide the first line of defense against catastrophic structure fires. However, these technologies are ineffective in large open spaces such as tunnels, lobbies, arenas, and in the outdoors. On the other hand, a video based fire detection system has no...

Task Specific Local Region Matching

In this project we trained a distance function for local region matching. We show that when the application is relatively constrained, using a supervised learning approach produces better results than a generic system that was tuned by hand.

Tissue Microarray Analysis

Generalized Non-metric Multidimensional Scaling

Distributed Human Computation

The ground truth labeling of an image dataset is a task that often requires a large amount of human time and labor. We present an infrastructure for distributed human labeling that can exploit the modularity of common vision problems involving segmentation and recognition. We present the different e...

Vision for Structural Biology

Globally Optimal Structure and Motion Estimation

In this line of work, we persent globally optimal solutions to several important problems in multiview geometry. Structure from motion problems are inherently non-convex and these works rely on efficient construction of relaxations using developments in convex optimization and algebraic geometry.

Weakly Supervised Object Recognition and Localization

Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learning object classifiers from weakly labeled image data, where only the presence of an object in an image is known,...

Context Based Object Categorization

The goal of object categorization is to locate and identify instances of an object category within an image. Recognizing an object in an image is difficult when images present occlusion, poor quality, noise or background clutter, and this task becomes even more challenging when many objects are pres...

Assistive Technology for the Visually Impaired

The contemporary urban environment is brimming with rich visual cues that provide valuable directional and informational content to sighted individuals. The goal of the GroZi project is to make significant advances toward making these visual cues universally accessible in a variety of real-world do...

Monitoring Animal Behavior

Smart Vivarium: automated monitoring of animal health and welfare.

Chromatic Entropy

Recent interest in region based image coding has given rise to graph coloring based partition encoding methods. These methods are based on the four color theorem for planar graphs, and assume that a coloring for a graph with the minimum possible number of colors will result in the most compressible ...

Icon Vectorization

Computer icons are small artificial images designed to be perceived with minimal ambiguity by the human visual system. In order to make them easier to perceive by visually impaired people, we propose a solution to the super-resolution problem for color bitmap icons in a manner that exploits the uni...

Tracking with Online Multiple Instance Learning

In this project we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of tracking techniques called ``tracking by detection'' has been shown to give promising results at real-time speeds. These methods train a disc...

Car Surveillance

Vehicle license plate and make and model recognition.

Segmentation and Reconstruction from Periodic Motion

A method for detecting and segmenting periodic motion is presented. We exploit periodicity as a cue and detect periodic motion in complex scenes where common methods for motion segmentation are likely to fail. We note that periodic motion detection can be seen as an approximate case of sequence alig...

Hypergraph Clustering

We consider the problem of clustering in domains where the affinity relations are not dyadic (pairwise), but rather triadic, tetradic or higher. The problem is an instance of the hypergraph partitioning problem. We propose a two-step algorithm for solving this problem. In the first step we use a nov...

Shape Matching

Matching with Shape Contexts and Thin-Plate Splines.

Motion Segmentation

Refractive Optical Flow

This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object from a video sequence acquired as the background behind the refracting object moves. By structure here we mean a represen...

Structured Importance Sampling of Environment Maps

We introduce structured importance sampling, a new technique for efficiently rendering scenes illuminated by distant natural illumination given in an environment map. Our method handles occlusion, high-frequency lighting, and is significantly faster than alternative methods based on Monte Carlo samp...

Mobile Robot Vision

The objective of mobile camera server (MCS)is providing a mechanism to access the (USB) camera from a remote computer. The application was primary developed to remotely request images from ER1 robot's camera. It was then extended to support multiple camera as well as AVI files, makes it more flexibl...

Spectral Clustering Using the Nyström Extension

Spectral graph theoretic methods have recently shown great promise for the problem of image segmentation. However, due to the computational demands of such methods, applications to large problems such as spatiotemporal data and high resolution imagery have been slow to appear. The contribution of th...

Locally Smooth Manifold Learning

LSML is a method for determining a warping from a point on a manifold to its neighbors on the manifold. A direct application of this method is performed on video sequences where the ways of moving on the underlying manifold are learned and then used to move within and out of the training set. The wa...

Manifold-Based Non-Rigid Structure from Motion




Publications


2014
Dollár P., Appel R., Belongie S., Perona P., "Fast Feature Pyramids for Object Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear, 2014. [BibTex][pdf]
Lin T., Maire M., Belongie S., Hays J., Perona P., Ramanan D., Dollár P., Zitnick L.C., "Microsoft COCO: Common Objects in Context", European Conference on Computer Vision (ECCV), Zürich, September, 2014. [www] [BibTex][pdf]
Wilber M., Kwak S., Belongie S., "Cost-Effective HITs for Relative Similarity Comparisons", Human Computation and Crowdsourcing (HCOMP), Pittsburgh, November, 2014. [BibTex]
Altwaijry H., Moghimi M., Belongie S., "Recognizing Locations with Google Glass: A Case Study", IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, Colorado, March, 2014. [BibTex][pdf]
Nguyen P., Wang K., Belongie S., "Video Text Detection and Recognition: Dataset and Benchmark", Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, March, 2014. [BibTex][pdf]
Tripathi S., Hwang Y., Belongie S., Nguyen T., "Improving Streaming Video Segmentation with Early and Mid-Level Visual Processing", Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, March, 2014. [BibTex][pdf]
Wah C., Horn G., Branson S., Maji S., Perona P., Belongie S., "Similarity Comparisons for Interactive Fine-Grained Categorization", Computer Vision and Pattern Recognition (CVPR), Columbus, OH, June, 2014. [BibTex][pdf]
Moghimi M., Azagra P., Montesano L., Murillo A.C., Belongie S., "Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition", CVPR Workshop on Egocentric (First-person) Vision, Columbus, OH, June, 2014. [BibTex][pdf]
Matera T., Jakes J., Cheng M., Belongie S., "A User Friendly Crowdsourcing Task Manager", Workshop on Computer Vision and Human Computation, Columbus, OH, June, 2014. [BibTex][pdf]
Cao C., Kwak S., Belongie S., Kriegman D., Ai H., "Adaptive Ranking of Facial Attractiveness", IEEE International Conference on Multimedia & Expo (ICME), Chengdu, July, 2014. [BibTex]
Lluncor D., Belongie S., Rullan P., Morhenn V., "Regression and classification methods for nasolabial folds", Journal of Dermatology, vol. 41, no. 1, pp. 92-7, January, 2014. [www] [BibTex]
Barngrover C., Kastner R., Belongie S., "Semisynthetic Versus Real-World Sonar Training Data for the Classification of Mine-Like Objects", IEEE Journal of Oceanic Engineering, January, 2014. [www] [BibTex]
Branson S., Horn G., Wah C., Perona P., Belongie S., "The Ignorant Led by the Blind: A Hybrid Human–Machine Vision System for Fine-Grained Categorization", International Journal of Computer Vision (IJCV), February, 2014. [www] [BibTex]
2013
Kwak I., Murillo A.C., Belhumeur P., Belongie S., Kriegman D., "From Bikers to Surfers: Visual Recognition of Urban Tribes", British Machine Vision Conference (BMVC), Bristol, September, 2013. [BibTex][pdf]
Christiansen E., Rabaud V., Ziegler A., Kriegman D., Belongie S., "Match-time covariance for descriptors", British Machine Vision Conference (BMVC), Bristol, September, 2013. [BibTex][pdf]
Altwaijry H., Belongie S., "Ultra-wide Baseline Aerial Imagery Matching in Urban Environments", British Machine Vision Conference (BMVC), Bristol, September, 2013. [BibTex][pdf]
Branson S., Beijbom O., Belongie S., "Efficient Large-Scale Structured Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June, 2013. [BibTex][pdf]
Lin T., Belongie S., Hays J., "Cross-view Image Geolocalization", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June, 2013. [BibTex][pdf]
Wah C., Belongie S., "Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June, 2013. [BibTex][pdf]
Flores A., Christiansen E., Kriegman D., Belongie S., "Camera distance from face images", International Symposium on Visual Computing (ISVC), Crete, July, 2013. [BibTex][pdf]
Christiansen E., Kwak I., Belongie S., Kriegman D., "Face box shape and verification", International Symposium on Visual Computing (ISVC), Crete, July, 2013. [BibTex]
Altwaijry H., Belongie S., "Relative Ranking of Facial Attractiveness", Workshop on the Applications of Computer Vision (WACV), Clearwater Beach, Florida, January, 2013. [BibTex][pdf]
Patterson G., Horn G., Belongie S., Perona P., Hays J., "Bootstrapping Fine-Grained Classifiers: Active Learning with a Crowd in the Loop", NIPS Workshop on Crowdsourcing: Theory, Algorithms and Applications, Lake Tahoe, December, 2013. [BibTex][pdf]
2012
Murillo A.C., Kwak I., Bourdev L., Kriegman D., Belongie S., "Urban Tribes: Analyzing Group Photos from a Social Perspective", CVPR Workshop on Socially Intelligent Surveillance and Monitoring (SISM), Providence, RI, June, 2012. [BibTex][pdf]
Ziegler A., Belongie S., "Non-Rigid Surface Detection for Gestural Interaction with Applicable Surfaces", Applications of Computer Vision (WACV), Breckenridge, CO, January, 2012. [BibTex][pdf]
Ziegler A., Christiansen E., Kriegman D., Belongie S., "Locally Uniform Comparison Image Descriptor", Neural Information Processing Systems (NIPS), Lake Tahoe, NV, pp. 1-9, December, 2012. [BibTex][pdf]
2011
Krishnasamy P., Belongie S., Kriegman D., "Wet Fingerprint Recognition: Challenges and Opportunities", International Joint Conference on Biometrics (IJCB), Washington, DC, October, 2011. [BibTex][pdf]
Babenko B., Yang M., Belongie S., "Visual Tracking with Online Multiple Instance Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), August, 2011. [www] [BibTex]
Galleguillos C., McFee B., Belongie S., Lanckriet G., "From Region Similarity to Category Discovery", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, 2011. [BibTex][pdf]
Yoshida T., Kitani K., Belongie S., Schlei K., Koike H., "EdgeSonic: Image Feature Sonification for the Visually Impaired", International Conference on the Augmented Human , Tokyo, 2011. [BibTex][pdf]
Babenko B., Varma N., Dollar P., Belongie S., "Multiple Instance Learning with Manifold Bags", International Conference on Machine Learning (ICML), Bellevue, WA, 2011. [BibTex][pdf]
Tamuz O., Liu C., Belongie S., Shamir O., Kalai A., "Adaptively Learning the Crowd Kernel", International Conference on Machine Learning (ICML), Bellevue, WA, 2011. [BibTex][pdf]
Wang K., Babenko B., Belongie S., "End-to-End Scene Text Recognition", IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011. [BibTex][pdf]
Schroff F., Treibitz T., Kriegman D., Belongie S., "Pose, Illumination and Expression Invariant Pairwise Face-Similarity Measure via Doppelgänger List Comparison", IEEE International Conference on Computer Vision (ICCV), Barcelona, 2011. [BibTex][pdf]
Branson S., Perona P., Belongie S., "Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models", IEEE International Conference on Computer Vision (ICCV), Barcelona, 2011. [BibTex][pdf, (extended) pdf]
Wah C., Branson S., Perona P., Belongie S., "Multiclass Recognition and Part Localization with Humans in the Loop", IEEE International Conference on Computer Vision (ICCV), Barcelona, 2011. [BibTex][pdf]
Barngrover C., Belongie S., Kastner R., "JBoost Optimization of Object Detectors for Autonomous Underwater Vehicle Navigation", International Conference on Computer Analysis of Images and Patterns (CAIP), Seville, Spain, 2011. [BibTex]
2010
Wang K., Belongie S., "Word Spotting in the Wild", European Conference on Computer Vision (ECCV), Heraklion, Crete, Sept., 2010. [www] [BibTex][pdf]
Branson S., Wah C., Babenko B., Schroff F., Welinder P., Perona P., Belongie S., "Visual Recognition with Humans in the Loop", European Conference on Computer Vision (ECCV), Heraklion, Crete, Sept., 2010. [www] [BibTex][pdf]
Flores A., Belongie S., "Removing pedestrians from Google Street View images", IEEE International Workshop on Mobile Vision, San Francisco, CA, June, 2010. [BibTex][pdf]
Winlock T., Christiansen E., Belongie S., "Toward real-time grocery detection for the visually impaired", Computer Vision Applications for the Visually Impaired (CVAVI), San Francisco, CA, June, 2010. [BibTex][pdf]
Wang K., Rescorla E., Shacham H., Belongie S., "OpenScan: A Fully Transparent Optical Scan Voting System", Electronic Voting Technology Workshop/ Workshop on Trustworthy Elections (EVT/WOTE). USENIX/ACCURATE/IAVoSS, Washington, DC, August, 2010. [BibTex][pdf]
Galleguillos C., McFee B., Belongie S., Lanckriet G.R G., "Multi-Class Object Localization by Combining Local Contextual Interactions", IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2010. [BibTex][pdf]
Galleguillos C., Belongie S., "Context Based Object Categorization: A Critical Survey", Computer Vision and Image Understanding (CVIU), vol. 114, pp. 712-722, 2010. [BibTex][pdf]
Dollár P., Belongie S., Perona P., "The Fastest Pedestrian Detector In The West", British Machine Vision Conference (BMVC), Aberystwyth, UK, 2010. [BibTex][pdf]
Yoshida T., Kitani K., Belongie S., Schlei K., "EdgeSonic: Sonification of Image Features for the Visually Impaired", Workshop on Interactive Systems and Software, Japan, 2010. [BibTex][pdf]
Welinder P., Branson S., Belongie S., Perona P., "The Multidimensional Wisdom of Crowds", Neural Information Processing Systems Conference (NIPS), 2010. [www] [BibTex][pdf]
Welinder P., Branson S., Mita T., Wah C., Schroff F., Belongie S., Perona P., "Caltech-UCSD Birds 200", Technical Report, no. CNS-TR-201: Caltech, 2010. [www] [BibTex][pdf]
2009
Babenko B., Yang M., Belongie S., "Visual Tracking with Online Multiple Instance Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, FL, 2009. [BibTex][pdf]
Rabaud V., Belongie S., "Linear Embeddings in Non-Rigid Structure From Motion", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, FL, 2009. [BibTex][pdf]
Wills J., Agarwal S., Kriegman D., Belongie S., "Toward a Perceptual Space for Gloss", ACM Transactions on Graphics, vol. 28, no. 4, pp. 1-15, 2009. [BibTex][pdf]
Rabinovich A., Belongie S., "Scenes vs. Objects: a Comparative Study of Two Approaches to Context Based Recognition", International Workshop on Visual Scene Understanding (ViSU), Miami, FL, 2009. [BibTex][pdf]
Faymonville P., Wang K., Miller J., Belongie S., "CAPTCHA-based Image Labeling on the Soylent Grid", Human Computation Workshop (HCOMP), Paris, France, 2009. [www] [BibTex][pdf, (extended) pdf]
Babenko B., Branson S., Belongie S., "Similarity Metrics for Categorization: from Monolithic to Category Specific ", International Conference on Computer Vision (ICCV), Kyoto, Japan, 2009. [BibTex][pdf]
Dollár P., Tu Z., Perona P., Belongie S., "Integral Channel Features", British Machine Vision Conference (BMVC), London, England, 2009. [BibTex][pdf]
Babenko B., Yang M., Belongie S., "A Family of Online Boosting Algorithms", Online Learning for Computer Vision (OLCV), Kyoto, 2009. [BibTex][pdf]
Galleguillos C., Faymonville P., Belongie S., "BUBL: An Effective Region Labeling Tool Using a Hexagonal Lattice", Workshop on Emergent Issues in Large Amounts of Visual Data , Kyoto, Japan, 2009. [BibTex][pdf]
Venkata S., Ahn I., Jeon ., Gupta A., Louie C., Garcia S., Belongie S., Taylor M., "SD-VBS: The San Diego Vision Benchmark Suite", IEEE International Symposium on Workload Characterization (IISWC), Austin, TX, 2009. [www] [BibTex]
Babenko B., Dollár P., Belongie S., Multiple Instance Learning with Query Bags, , 2009. [BibTex][pdf]
Fakourfar H., Belongie S., "Fingerprint Recognition System Performance in the Maritime Environment", Workshop on Applications of Computer Vision (WACV), Snowbird, UT, 2009. [BibTex][pdf]
Chandraker M., Agarwal S., Kriegman D., Belongie S., "Globally Optimal Algorithms for Stratified Autocalibration", International Journal of Computer Vision (IJCV), no. to appear, 2009. [BibTex][pdf]
2008
Koch M., Maltz J., Belongie S., Gangadharan B., Bose S., Bani-Hashemi A., "Automatic coregistration of volumetric images based on implanted fiducial markers", Medical Physics, vol. 35, no. 10, pp. 4513-23, October, 2008. [www] [BibTex][pdf]
Galleguillos C., Belongie S., "Context Based Object Categorization: A Critical Survey", Technical Report CSE UCSD, no. CS2008-092, 08/2008. [BibTex][pdf]
Dollár P., Babenko B., Perona P., Belongie S., Tu Z., "Multiple Component Learning for Object Detection", European Conference on Computer Vision (ECCV), 2008. [BibTex][pdf]
Rabaud V., Belongie S., "Re-Thinking Non-Rigid Structure From Motion", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. [BibTex][pdf]
Babenko B., Dollár P., Tu Z., Belongie S., "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning", RealFaces, Marseille, France, 2008. [BibTex][pdf]
Galleguillos C., Babenko B., Rabinovich A., Belongie S., "Weakly Supervised Object Recognition and Localization with Stable Segmentations", European Conference on Computer Vision (ECCV), Marseille, France, 2008. [BibTex][pdf]
Galleguillos C., Rabinovich A., Belongie S., "Object Categorization using Co-Occurrence, Location and Appearance", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, 2008. [BibTex][pdf]
Koch M., Maltz J., Gangadharan B., Bose S., Shukla H., Bani-Hashemi A., Belongie S., "Automatic Co-registration of Volumetric Datasets Based on Prostate Seed Fiducial Markers", ISBI, Paris, France, 2008. [BibTex]
Kahl F., Agarwal S., Chandraker M., Kriegman D., Belongie S., "Practical Global Optimization for Multiview Geometry", IJCV, vol. 79, no. 3, pp. 271-284, 2008. [BibTex][pdf]
2007
Dollár P., Rabaud V., Belongie S., "Non-Isometric Manifold Learning: Analysis and an Algorithm", International Conference On Machine Learning (ICML), June, 2007. [BibTex][pdf]
Dollár P., Rabaud V., Belongie S., "Learning to Traverse Image Manifolds", Tech Report, no. CS2007-087: UCSD CSE, 2007. [BibTex][pdf]
Steinbach S., Rabaud V., Belongie S., "Soylent Grid: it's Made of People!", Workshop on Interactive Computer Vision (ICV), Rio de Janeiro, 2007. [BibTex][pdf]
Dollár P., Tu Z., Tao H., Belongie S., "Feature Mining For Image Classification", CVPR, 2007. [BibTex][pdf]
Rabinovich A., Vedaldi A., Galleguillos C., Wiewiora E., Belongie S., "Objects in Context", ICCV, Rio de Janeiro, 2007. [BibTex][pdf]
Rabinovich A., Vedaldi A., Belongie S., "Does Image Segmentation Improve Object Categorization?", UCSD CSE Technical Report, no. CS2007-090, 2007. [BibTex][pdf]
Babenko B., Dollár P., Belongie S., "Task Specific Local Region Matching", ICCV, Rio de Janeiro, 2007. [BibTex][pdf]
Merler M., Galleguillos C., Belongie S., "Recognizing Groceries in situ Using in vitro Training Data", SLAM, Minneapolis, MN, 2007. [BibTex][pdf]
Agarwal S., Wills J., Cayton L., Lanckriet G., Kriegman D., Belongie S., "Generalized Non-metric Multidimensional Scaling", AISTATS, San Juan, Puerto Rico, 2007. [BibTex][pdf]
Chandraker M., Agarwal S., Kriegman D., Belongie S., "Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration", ICCV, 2007. [BibTex][pdf]
2006
Wills J., Agarwal S., Belongie S., "A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion", International Journal of Computer Vision (IJCV), vol. 68, no. 2, pp. 125-143, June, 2006. [BibTex][pdf]
Dollár P., Rabaud V., Belongie S., "Learning to Traverse Image Manifolds", Neural Information Processing Systems Conference (NIPS), Dec., 2006. [BibTex][pdf]
Rabinovich A., Krajewski S., Krajewska M., Shabaik A., Hewitt S.M., Belongie S., Reed J.C., Price J.H., "Automated Scanning and Display of Tissue Microarrays", IEEE Transactions on Information Technology in Biomedicine, vol. 10, no. 12, pp. 209-219, April, 2006. [BibTex][pdf]
Agarwal S., Branson K., Belongie S., "Higher-Order Learning with Graphs", International Conference On Machine Learning (ICML), Pittsburgh, PA, 2006. [BibTex][pdf]
Hewitt R., Belongie S., "Active Learning in Face Recognition: Using Tracking to Build a Face Model", V4HCI, New York City, 2006. [BibTex][pdf]
Ben-Haim N., Babenko B., Belongie S., "Improving Web-based Image Search via Content Based Clustering", SLAM, New York City, 2006. [BibTex][pdf]
Rabaud V., Belongie S., "Counting Crowded Moving Objects", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York City, 2006. [BibTex][pdf]
Dollár P., Tu Z., Belongie S., "Supervised Learning of Edges and Object Boundaries", CVPR, New York City, 2006. [BibTex][pdf]
Rabinovich A., Lange T., Buhmann J., Belongie S., "Model Order Selection and Cue Combination for Image Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York City, 2006. [BibTex][pdf]
Mallick S., Agarwal S., Kriegman D., Belongie S., Carragher B., Potter C., "Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York City, 2006. [BibTex][pdf]
Ochoa B., Belongie S., "Covariance Propagation for Guided Matching", SMVP, Graz, Austria, 2006. [BibTex][pdf]
Agarwal S., Chandraker M., Kahl F., Kriegman D., Belongie S., "Practical Global Optimization for Multiview Geometry ", European Conference on Computer Vision (ECCV), vol. 1, Graz, Austria, pp. 592-605, 2006. [BibTex][pdf]
2005
Mori G., Belongie S., Malik J., "Efficient Shape Matching Using Shape Contexts", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 11, pp. 1832-1837, November, 2005. [BibTex][pdf]
Branson K., Belongie S., "Tracking Multiple Mouse Contours (Without Too Many Samples)", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June, 2005. [BibTex]
Kumar S., Biswas M., Belongie S., Nguyen T., "Spatio-temporal texture synthesis and image inpainting for video applications", ICIP, vol. 2, Genova, Italy, pp. 85-88, 2005. [BibTex]
Belongie S., Branson K., Dollár P., Rabaud V., "Monitoring Animal Behavior in the Smart Vivarium", Measuring Behavior, Wageningen, NL, pp. 70-72, 2005. [BibTex][pdf]
Belongie S., Mori G., Malik J., "Matching with Shape Contexts", Analysis and Statistics of Shapes: Birkhäuser, 2005. [BibTex]
Laptev I., Belongie S., Pérez P., Wills J., "Periodic Motion Detection and Segmentation via Approximate Sequence Alignment", ICCV, vol. 1, Beijing, China, pp. 816-823, 2005. [BibTex]
Dlagnekov L., Belongie S., "Recognizing Cars", UCSD CSE Tech Report, no. CS2005-083, 2005. [BibTex]
Maschion M., Rabaud V., Belongie S., Computer Vision: Fact and Fiction, : UCSD/Calit2, 2005. [www] [BibTex]
Dollár P., Rabaud V., Cottrell G., Belongie S., "Behavior Recognition via Sparse Spatio-Temporal Features", IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS), Beijing, China, 2005. [BibTex][pdf]
Rabaud V., Belongie S., "Big Little Icons", Computer Vision Applications for the Visually Impaired (CVAVI), San Diego, CA, 2005. [BibTex][pdf]
Agarwal S., Lim J., Zelnik-Manor L., Perona P., Kriegman D., Belongie S., "Beyond Pairwise Clustering", CVPR, vol. 2, San Diego, CA, pp. 838-845, 2005. [BibTex][pdf]
2004
Gamio J., Belongie S., Majumdar S., "Normalized Cuts in 3D for Spinal MRI Segmentation", IEEE Transactions on Medical Imaging, vol. 23, no. 1, pp. 36-44, January, 2004. [BibTex][pdf]
Fowlkes C., Belongie S., Chung F., Malik J., "Spectral Grouping Using the Nyström Method", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 2, pp. 214-225, Feburary, 2004. [BibTex][pdf]
Belongie S., Wills J., "Structure from Periodic Motion", Workshop on Spatial Coherence for Visual Motion Analysis (SCVMA), Prague, Czech Republic, Springer Verlag, 2004. [BibTex][pdf]
Wills J., Belongie S., "A Feature-based Approach for Determining Dense Long Range Correspondences", European Conference on Computer Vision (ECCV), Prague, Czech Republic, Springer Verlag, 2004. [BibTex][pdf]
Agarwal S., Mallick S., Kriegman D., Belongie S., "On Refractive Optical Flow", ECCV, Prague, Czech Republic, Springer Verlag, 2004. [BibTex][pdf]
2003
Branson K., Rabaud V., Belongie S., "Three Brown Mice: See How They Run", IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS), Nice, France, October, 2003. [BibTex][pdf]
Wills J., Agarwal S., Belongie S., "What Went Where", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, Madison, WI, pp. 37-44, 2003. [BibTex][pdf]
Agarwal S., Belongie S., "Segmentation by Example", Technical Report, no. CS2003-076: UCSD, 2003. [BibTex][pdf]
Agarwal S., Ramamoorthi R., Belongie S., Jensen H., "Structured Importance Sampling of Environment Maps", SIGGRAPH, San Diego, CA, 2003. [BibTex][pdf]
Rabinovich A., Agarwal S., Laris C., Price J., Belongie S., "Unsupervised Spectral Decomposition of Histologically Stained Tissue Samples", NIPS, Vancouver, BC, 2003. [BibTex]
2002
Carson C., Belongie S., Greenspan H., Malik J., "Blobworld: Color- and Texture-Based Image Segmentation Using EM and Its Application to Image Querying and Classification", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 24, no. 8, pp. 1026-1038, August, 2002. [BibTex][pdf]
Belongie S., Malik J., Puzicha J., "Shape Matching and Object Recognition Using Shape Contexts", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 4, pp. 509-522, April, 2002. [BibTex][pdf]
Belongie S., Fowlkes C., Chung F R K., Malik J., "Spectral Partitioning with Indefinite Kernels using the Nyström Extension", ECCV, Copenhagen, Denmark, Springer Verlag, 2002. [BibTex][pdf]
Agarwal S., Belongie S., "On the Non-Optimality of Four Color Coding of Image Partitions", ICIP, vol. 2, pp. 677-680, 2002. [BibTex][pdf]
Donato G., Belongie S., "Approximate Thin Plate Spline Mappings", ECCV, vol. 2, Copenhagen, Denmark, Springer Verlag, pp. 531-542, 2002. [BibTex][pdf]
Gamio J., Belongie S., Majumdar S., "Normalized Cuts for Spinal MRI Segmentation", CARS, Paris, France, 2002. [BibTex]
Fowlkes C., Shan Q., Belongie S., Malik J., "Extracting Global Structure from Gene Expression Profiles", Methods of Microarray Data Analysis II: Kluwer Academic, 2002. [BibTex][pdf]
2001
Malik J., Belongie S., Leung T., Shi J., "Contour and Texture Analysis for Image Segmentation", IJCV, vol. 43, no. 1, pp. 7-27, June, 2001. [BibTex][pdf]
Belongie S., Malik J., Puzicha J., "Matching Shapes", ICCV, vol. 1, pp. 454-461, July, 2001. [BibTex][pdf]
Fowlkes C., Belongie S., Malik J., "Efficient Spatiotemporal Grouping Using the Nyström Method", CVPR, December, 2001. [BibTex][pdf]
Mori G., Belongie S., Malik J., "Shape Contexts Enable Efficient Retrieval of Similar Shapes", CVPR, December, 2001. [BibTex][pdf]
Fowlkes C., Shan Q., Belongie S., Malik J., "Extracting Global Structure from Gene Expression Profiles", CAMDA, Durham, NC, 2001. [BibTex]
2000
Belongie S., Malik J., Puzicha J., "Shape Context: A new descriptor for shape matching and object recognition", Neural Information Processing Systems Conference (NIPS), pp. 831-837, December, 2000. [BibTex][pdf]
Belongie S., Malik J., "Matching with Shape Contexts", Content-based Access of Image and Video Libraries (CBAIVL), Hilton Head, SC, pp. 20-26, 2000. [BibTex][pdf]
Puzicha J., Belongie S., "Model-based Halftoning for Color Image Segmentation", International Conference on Pattern Recognition (ICPR), vol. 3, Barcelona, Spain, pp. 629-632, 2000. [BibTex][pdf]
Malik J., Belongie S., Leung T., Shi J., "Contour and Texture Analysis for Image Segmentation", Perceptual Organization for Artificial Vision Systems: Kluwer Academic, 2000. [BibTex]
1999
Malik J., Belongie S., Shi J., Leung T., "Textons, Contours and Regions: Cue Integration in Image Segmentation", IEEE International Conference on Computer Vision (ICCV), pp. 918-925, 1999. [BibTex]
Carson C., Thomas M., Belongie S., Hellerstein J.M., Malik J., "Blobworld: A system for region-based image indexing and retrieval", VISUAL, Amsterdam, pp. 509–516, 1999. [BibTex]
Manjunath B S., Deng Y., Forsyth D A., Carson C., Ioffe S., Belongie S., Malik J., Ma W - Y., Puri A., Chen T., "Image retrieval in digital libraries", Multimedia: Standards, Systems and Networks: Marcel Dekker, 1999. [BibTex]
Malik J., Shi J., Belongie S., Leung T., "Grouping in the Normalized Cut Framework", Shape, Contour and Grouping in Computer Vision, vol. LNCS 1681: Springer Verlag, pp. 155-164, 1999. [BibTex]
1998
Belongie S., Malik J., "Finding Boundaries in Natural Images: A New Method Using Point Descriptors and Area Completion", European Conference on Computer Vision (ECCV), Freiburg, Germany, June, 1998. [BibTex][pdf]
Belongie S., Carson C., Greenspan H., Malik J., "Color- and Texture-Based Image Segmentation Using EM and Its Application to Content-Based Image Retrieval", IEEE International Conference on Computer Vision (ICCV), pp. 675–682, 1998. [BibTex][pdf]
Shi J., Belongie S., Leung T., Malik J., "Image and Video Segmentation: The Normalized Cut Framework", International Conference on Image Processing (ICIP), vol. 1, Chicago, IL, pp. 943-947, 1998. [BibTex]
1997
Carson C., Belongie S., Greenspan H., Malik J., "Region-Based Image Querying", Content-based Access of Image and Video Libraries (CBAIVL), Puerto Rico, pp. 42-49, 1997. [BibTex][pdf]
Belongie S., Carson C., Greenspan H., Malik J., "Recognition of Images in Large Databases Using a Learning Framework", UC Berkeley CS Tech Report , no. 97-939, 1997. [BibTex][pdf]
1996
Malik J., Forsyth D., Fleck M., Greenspan H., Leung T., Carson C., Belongie S., Bregler C., "Finding Objects in Image Databases by Grouping", International Conference on Image Processing (ICIP), vol. 2, pp. 761-764, 1996. [BibTex][pdf]
Forsyth D., Malik J., Fleck M., Greenspan H., Leung T., Belongie S., Carson C., Bregler C., "Finding Pictures of Objects in Large Collections of Images", ECCV '96 International Workshop on Object Recognition for Computer Vision, Cambridge, England, pp. 335-360, 1996. [BibTex][pdf]
Belongie S., Blasi R., Murphy K., "Grouping of Color and Texture Features for Automated Image Annotation", Technical Report for CS280: U.C. Berkeley, 1996. [BibTex][pdf]
1994
Greenspan H., Belongie S., Perona P., Goodman R., Rakshit S., Anderson C., "Overcomplete Steerable Pyramid Filters and Rotation Invariance", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 222-228, 1994. [BibTex][pdf]
Greenspan H., Belongie S., Perona P., Goodman R., "Rotation Invariant Texture Recognition Using a Steerable Pyramid", International Conference on Pattern Recognition (ICPR), vol. 2, pp. 162-167, 1994. [BibTex][pdf]