Vlad I. Morariu's Homepage

I am a member of the research faculty (assistant research scientist) at the University of Maryland, associated with the Computer Vision Lab and the Institute for Advanced Computer Studies. I received my doctoral degree in Computer Science at the University of Maryland, College Park, with Prof. Larry Davis as my advisor. I completed my B.S. and M.S. degrees at Penn State University with Prof. Octavia Camps as my research advisor.

Research interests: I am interested in high-level commonsense reasoning about the visual world in the face of observation and model uncertainty. Ultimately, I would like to build a system that can answer complex visual queries that are expressed linguistically and are not known ahead of time. This involves investigating knowledge representations that manage the trade-off between expressiveness and computational complexity; learning rich spatial and temporal models while managing the trade-off between the amount of model structure, training data, and supervision; and, reducing uncertainty in mid- and low-level computer vision techniques.

My interests lie at the intersection of computer vision, artificial intelligence, and machine learning. Click on a topic to see related publications: computer vision - event modeling and retrieval, object detection and classification, tracking, action recognition; artificial intelligence - knowledge representation and reasoning, natural language processing; machine learning - large (web-)scale machine learning, graphical models, classification, kernel density estimation, deep learning.

Publications : show all

Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis. C-WSL: Count-guided Weakly Supervised Localization. arXiv, 2017. PDF BibTeX

@article{gao2017cwsl,
  title={C-WSL: Count-guided Weakly Supervised Localization.},
  author={Mingfei Gao and Ang Li and Ruichi Yu and Vlad I. Morariu and Larry S. Davis},
  journal={arXiv preprint arXiv:1711.05282},
  year={2017}
}

Mingfei Gao, Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis. Dynamic Zoom-in Network for Fast Object Detection in Large Images. arXiv, 2017. PDF BibTeX

@article{gao2017dzn,
  title={Dynamic Zoom-in Network for Fast Object Detection in Large Images.},
  author={Mingfei Gao and Ruichi Yu and Ang Li and Vlad I. Morariu and Larry S. Davis},
  journal={arXiv preprint arXiv:1711.05187},
  year={2017}
}

Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis. Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation. IEEE International Conference on Computer Vision (ICCV), 2017. PDF (arXiv) BibTeX

@article{yu2017_vrd_knowledge_distillation,
  title={Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation.},
  author={Ruichi Yu and Ang Li and Vlad I. Morariu and Larry S. Davis},
  journal={IEEE International Conference on Computer Vision (ICCV)},
  year={2017}
}

Venkataraman Santhanam, Vlad I. Morariu, Larry S. Davis. Generalized Deep Image to Image Regression. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 [spotlight]. PDF (arXiv) BibTeX Code

@article{santhanam2017_rbdn,
  title={Generalized Deep Image to Image Regression.},
  author={Venkataraman Santhanam and Vlad I. Morariu and Larry S. Davis},
  journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017}
}

Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis. Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. PDF (arXiv) BibTeX

@article{li2017_3dscenefromtext,
  title={Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval.},
  author={Ang Li and Jin Sun and Joe Yue-Hei Ng and Ruichi Yu and Vlad I. Morariu and Larry S. Davis},
  journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017}
}

Bor-Chun Chen, Pallabi Ghosh, Vlad I. Morariu, Larry S. Davis. Detection of Metadata Tampering through Discrepancy between Image Content and Metadata using Multi-task Deep Learning. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017. PDF BibTeX

@article{chen2017_metadata_tampering,
  title={Detection of Metadata Tampering through Discrepancy between Image Content and Metadata using Multi-task Deep Learning.},
  author={Bor-Chun Chen and Pallabi Ghosh and Vlad I. Morariu and Larry S. Davis.},
  journal={IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2017}
}

Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis. Two-Stream Neural Networks for Tampered Face Detection.IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017. PDF BibTeX

@article{zhou2017_face_tampering,
  title={Two-Stream Neural Networks for Tampered Face Detection.},
  author={Bor-Chun Chen and Pallabi Ghosh and Vlad I. Morariu and Larry S. Davis.},
  journal={IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2017}
}

Xintong Han, Bharat Singh, Vlad I. Morariu, Larry S. Davis. VRFP: On-the-fly Video Retrieval using Web Images and Fast Fisher Vector Products. IEEE Transactions on Multimedia (TMM), 2017. PDF (arXiv) BibTeX

@article{han2017vrfp,
  title={VRFP: On-the-fly Video Retrieval using Web Images and Fast Fisher Vector Products},
  author={Han, Xintong and Singh, Bharat and Morariu, Vlad I and Davis, Larry S},
  journal={IEEE Transactions on Multimedia (TMM)},
  year={2017}
}

Yaming Wang, Vlad I. Morariu, Larry S. Davis. Weakly-supervised Discriminative Patch Learning via CNN for Fine-grained Recognition. arXiv, 2016. PDF BibTeX

@article{wang2016finegrainedcnnpatch,
  title={Weakly-supervised Discriminative Patch Learning via CNN for Fine-grained Recognition.},
  author={Yaming Wang and Vlad I. Morariu and Larry S. Davis},
  journal={arXiv preprint arXiv:1611.09932},
  year={2016}
}

Ruichi Yu, Xi Chen, Vlad I. Morariu, Larry S. Davis. The Role of Context Selection in Object Detection. British Machine Vision Conference (BMVC), 2016. [ORAL] PDF BibTeX

@inproceedings{yu16objectcontextselection,
  author = {Ruichi Yu and Xi Chen and Vlad I. Morariu and Larry S. Davis},
  title = {The Role of Context Selection in Object Detection},
  booktitle = {British Machine Vision Conference (BMVC)},
  year      = {2016}
}

Varun K. Nagaraja, Vlad I. Morariu, Larry S. Davis. Modeling Context Between Objects for Referring Expression Understanding. European Conference on Computer Vision (ECCV), 2016. PDF BibTeX Code

@inproceedings{nagaraja16refexpcontext,
  author = {Varun K. Nagaraja and Vlad I. Morariu and Larry S. Davis},
  title = {Modeling Context Between Objects for Referring Expression Understanding},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year      = {2016}
}

Venkataraman Santhanam, Vlad I. Morariu, David Harwood, Larry S. Davis. A Non-parametric Approach to Extending Generic Binary Classifiers for Multi-classification. Pattern Recognition (PR), 2016. PDF BibTeX

@article{santhanam16kdemrp,
  author = {Venkataraman Santhanam and Vlad I. Morariu and David Harwood and Larry S. Davis},
  title = {A Non-parametric Approach to Extending Generic Binary Classifiers for Multi-classification},
  journal = {Pattern Recognition (PR)},
  year = {2016}
}

Yaming Wang, Jonghyun Choi, Vlad I. Morariu, Larry S. Davis. Mining Discriminative Triplets of Patches for Fine-Grained Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. PDF BibTeX

@inproceedings{wang16triplets,
  author = {Yaming Wang and Jonghyun Choi and Vlad I. Morariu and Larry S. Davis},
  title = {Mining Discriminative Triplets of Patches for Fine-Grained Classification},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2016}
}

Ang Li, Vlad I. Morariu, Larry S. Davis. Selective Encoding for Recognizing Unreliably Localized Faces. IEEE International Conference on Computer Vision (ICCV), 2015. PDF BibTeX

@inproceedings{li15selectiveencoder,
  author = {Ang Li and Vlad I. Morariu and Larry S. Davis},
  title = {Selective Encoding for Recognizing Unreliably Localized Faces},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  year      = {2015}
}

Bharat Singh, Xintong Han, Zhe Wu, Vlad I. Morariu, Larry S. Davis. Selecting Relevant Web Trained Concepts for Automated Event Retrieval. IEEE International Conference on Computer Vision (ICCV), 2015. PDF BibTeX

@inproceedings{singh15zeroshot,
  author = {Bharat Singh and Xintong Han and Zhe Wu and Vlad I. Morariu and Larry S. Davis},
  title = {Selecting Relevant Web Trained Concepts for Automated Event Retrieval},
  booktitle = {IEEE International Conference on Computer Vision (ICCV)},
  year      = {2015}
}

Yen-Liang Lin, Vlad I. Morariu, Winston Hsu. Summarizing While Recording: Context-Based Highlight Detection for Egocentric Videos. IEEE International Conference on Computer Vision Workshops (ICCVW), 2015. PDF BibTeX

@inproceedings{lin15egocentric,
  author = {Yen-Liang Lin and Vlad I Morariu and Winston Hsu},
  title = {Summarizing While Recording: Context-Based Highlight Detection for Egocentric Videos},
  booktitle = {IEEE International Conference on Computer Vision Workshops (ICCVW)},
  year      = {2015}
}

Varun K. Nagaraja, Vlad I. Morariu, Larry S. Davis. Searching for Objects using Structure in Indoor Scenes. British Machine Vision Conference (BMVC), 2015. PDF Supplementary BibTeX

@inproceedings{nagaraja15objectsearching,
  author = {Varun K. Nagaraja and Vlad I. Morariu and Larry S. Davis},
  title = {Searching for Objects using Structure in Indoor Scenes},
  booktitle = {British Machine Vision Conference (BMVC)},
  year      = {2015}
}

Yaming Wang, Vlad I. Morariu, Larry S. Davis. Unsupervised Feature Extraction Inspired by Latent Low-Rank Representation. IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. PDF Appendix BibTeX

@inproceedings{wang15latlrrfeature,
  author = {Yaming Wang and Vlad I. Morariu and Larry S. Davis},
  title = {Unsupervised Feature Extraction Inspired by Latent Low-Rank Representation},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year      = {2015}
}

Hyungtae Lee, Vlad I. Morariu, Larry S. Davis. Clauselets: Leveraging Temporally Related Actions for Video Event Analysis. IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. PDF BibTeX

@inproceedings{lee15clauselets,
  author = {Hyungtae Lee and Vlad I. Morariu and Larry S. Davis},
  title = {Clauselets: Leveraging Temporally Related Actions for Video Event Analysis},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year      = {2015}
}

Ang Li, Vlad I. Morariu, Larry S. Davis. Planar Structure Matching Under Projective Uncertainty for Geolocation. European Conference on Computer Vision (ECCV), 2014. PDF BibTeX

@inproceedings{li14geolocation,
  author    = {Ang Li and Vlad I. Morariu and Larry S. Davis},
  title     = {Planar Structure Matching Under Projective Uncertainty for Geolocation},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year      = {2014}
}

Yen-Liang Lin, Vlad I. Morariu, Winston Hsu, Larry S. Davis. Jointly Optimizing 3D Model Fitting and Fine-Grained Classification. European Conference on Computer Vision (ECCV), 2014. PDF BibTeX Dataset

@inproceedings{lin14finegrained3d,
  author    = {Yen-Liang Lin and Vlad I. Morariu and Winston Hsu and Larry S. Davis},
  title     = {Jointly Optimizing 3D Model Fitting and Fine-Grained Classification},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year      = {2014}
}

Varun K. Nagaraja, Vlad I. Morariu, Larry S. Davis. Feedback Loop between High Level Semantics and Low Level Vision. European Conference on Computer Vision Workshop (ECCVW), 2014. PDF Supplementary BibTeX

@inproceedings{nagaraja14feedback,
  author    = {Varun K. Nagaraja and Vlad I. Morariu and Larry S. Davis},
  title     = {Feedback Loop between High Level Semantics and Low Level Vision},
  booktitle = {European Conference on Computer Vision Workshops (ECCVW)},
  year      = {2014}
}

Hyungtae Lee, Vlad I. Morariu, Larry S. Davis. Robust Pose Features for Action Recognition. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2014. PDF BibTeX

@inproceedings{lee14actionpose,
  author    = {Hyungtae Lee and Vlad I. Morariu and Larry S. Davis},
  title     = {Robust Pose Features for Action Recognition},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year      = {2014}
}

Vlad I. Morariu, Ejaz Ahmed, Venkataraman Santhanam, David Harwood, Larry S. Davis. Composite Discriminant Factor Analysis. IEEE Winter Conference on Applications of Computer Vision (WACV), 2014. PDF BibTeX coming soon: [code] [vehicle dataset]

@inproceedings{morariu14cdf,
  author    = {Vlad I. Morariu and Ejaz Ahmed and Venkataraman Santhanam
               and David Harwood and Larry S. Davis},
  title     = {Composite Discriminant Factor Analysis},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year      = {2014}
}

Radu Dondera, Vlad I. Morariu, Yulu Wang, and Larry S. Davis. Interactive Video Segmentation Using Occlusion Boundaries and Temporally Coherent Superpixels. IEEE Winter Conference on Applications of Computer Vision (WACV), 2014. PDF BibTeX

@inproceedings{dondera14videosegmentation,
  author    = {Radu Dondera and Vlad I. Morariu and Yulu Wang and Larry S. Davis},
  title     = {Interactive Video Segmentation Using Occlusion Boundaries and Temporally Coherent Superpixels},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year      = {2014}
}

Fatemeh Mirrashed, Vlad I. Morariu, and Larry S. Davis. Sampling for Unsupervised Domain Adaptive Object Detection. IEEE International Conference on Image Processing (ICIP), 2013. PDF BibTeX

@inproceedings{mirrashed13sampling,
  author    = {Fatemeh Mirrashed and Vlad I. Morariu and Larry S. Davis},
  title     = {Sampling for Unsupervised Domain Adaptive Object Detection.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  year      = {2013}
}

Radu Dondera, Vlad I. Morariu, Larry S. Davis. Learning to Detect Carried Objects with Minimal Supervision. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2013. PDF BibTeX

@inproceedings{dondera13carriedobject,
  author    = {Radu Dondera and Vlad I. Morariu and Larry S. Davis},
  title     = {Learning to Detect Carried Objects with Minimal Supervision.},
  booktitle = {IEEE Conference on Computer Vision and Pattern recognition Workshops (CVPRW)},
  year      = {2013}
}

Vlad I. Morariu, David Harwood, and Larry S. Davis. Tracking People's Hands and Feet Using Mixed Network AND/OR Search. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013. PDF BibTeX coming soon: [software] [videos]

@inproceedings{morariu12handfoot,
  author    = {Vlad I. Morariu and David Harwood and Larry S. Davis},
  title     = {Tracking People's Hands and Feet Using Mixed Network AND/OR Search.},
  booktitle = {IEEE Transactions on Pattern Recognition and Machine Intelligence (PAMI)},
  year      = {2013}
}

Fatemeh Mirrashed, Vlad I. Morariu, Behjat Siddiquie, Rogerio S. Feris, and Larry S. Davis. Domain Adaptive Object Detection. IEEE Workshop on the Applications of Computer Vision (WACV), 2013. PDF BibTeX

@inproceedings{mirrashed13domainadaptivedetection,
  author    = {Fatemeh Mirrashed and Vlad I. Morariu and Behjat Siddiquie and
               Rogerio S. Feris and Larry S. Davis},
  title     = {Domain Adaptive Object Detection},
  booktitle = {IEEE Workshop on the Applications of Computer Vision (WACV)},
  year      = {2013}
}

Hyungtae Lee, Vlad I. Morariu, and Larry S. Davis. Qualitative Pose Estimation by Discriminative Deformable Part Models. Asian Conference on Computer Vision (ACCV), 2012. PDF BibTeX

@inproceedings{htlee12qualitativepose,
  author    = {Hyungtae Lee and Vlad I. Morariu and Larry S. Davis},
  title     = {Qualitative Pose Estimation by Discriminative Deformable Part Models.},
  booktitle = {Asian Conference on Computer Vision (ACCV)},
  year      = {2012}
}

Sameh Khamis, Vlad I. Morariu, and Larry S. Davis. Combining Per-Frame and Per-Track Cues for Multi-Person Action Recognition. European Conference on Computer Vision (ECCV), 2012. PDF BibTeX Errata

@inproceedings{khamis-eccv2012,
    author = {Sameh Khamis and Vlad I. Morariu and Larry S. Davis},
    title  = {Combining Per-Frame and Per-Track Cues for Multi-Person Action Recognition},
    booktitle = {European Conference on Computer Vision (ECCV)},
    year = {2012}
}

In the published version, equation (3) should use the distance directly,
and not its pseudo-probability:
v_{ab}(i, j) = \lambda_d\ d(i, j) - \lambda_c \log(p_{ab})

Sameh Khamis, Vlad I. Morariu, and Larry S. Davis. A Flow Model for Joint Action Recognition and Identity Maintenance. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. PDF BibTeX Errata

@inproceedings{khamis-cvpr2012,
    author = {Sameh Khamis and Vlad I. Morariu and Larry S. Davis},
    title  = {A Flow Model for Joint Action Recognition and Identity Maintenance},
    booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2012}
}

In the published version, equation (3) should use the distance directly,
and not its pseudo-probability:
v_{ab}(i, j) = \lambda_d\ d(i, j) - \lambda_c \log(p_{ab})

Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu, Trevor Darrell, and Larry S. Davis. Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance. IEEE International Conference on Computer Vision (ICCV), 2011. [ORAL] PDF BibTeX

@inproceedings{farrell11subordinate,
  author    = {Ryan Farrell and Om Oza and Ning Zhang and Vlad I. Morariu
               and Trevor Darrell and Larry S. Davis},
  title     = {Subordinate Categorization Using Volumetric Primitives and
               Pose-Normalized Appearance.},
  booktitle = {International Conference on Computer Vision (ICCV)},
  year      = {2011}
}

Vlad I. Morariu and Larry S. Davis. Multi-agent event recognition in structured scenarios. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. PDF BibTeX Appendix Video

@inproceedings{morariu11eventstructure,
  author    = {Vlad I. Morariu and Larry S. Davis},
  title     = {Multi-agent event recognition in structured scenarios.},
  booktitle = {Computer Vision and Pattern Recognition (CVPR)},
  year      = {2011}
}

Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C. Raykar, Ramani Duraiswami, and Larry S. Davis. Automatic online tuning for fast Gaussian summation. Advances in Neural Information Processing Systems (NIPS), 2008. PDF BibTeX

@inproceedings{morariu08figtree,
  author    = {Vlad I. Morariu and Balaji Vasan Srinivasan and 
               Vikas C. Raykar and Ramani Duraiswami and Larry S. Davis},
  title     = {Automatic online tuning for fast Gaussian summation},
  booktitle = {Advances in Neural Information Processing Systems (NIPS)},
  year      = {2008}
}

Vlad I. Morariu, V. Shiv Naga Prasad, and Larry S. Davis. Human Activity Understanding using Visibility Context. IEEE/RSJ IROS Workshop: From sensors to human spatial concepts (FS2HSC), 2007. PDF BibTeX

@inproceedings{morariu07visibilitycontext,
 author = {Vlad I. Morariu and V. Shiv Naga Prasad and Larry S. Davis},
 title = {Human Activity Understanding using Visibility Context},
 booktitle = {IEEE/RSJ IROS Workshop: From sensors to human spatial concepts (FS2HSC)},
 year = {2007}
 }

Benjamin Fransen, Vlad Morariu, Eric Martinson, Samuel Blisard, Matthew Marge, Scott Thomas, Alan Schultz, and Dennis Perzanowski. Using Vision, Acoustics, and Natural Language for Disambiguation. IEEE International Conference on Human-Robot Interaction (HRI) 2007. PDF BibTeX

@inproceedings{fransen07vanld,
 author = {Benjamin Fransen and Vlad Morariu and Eric Martinson 
           and Samuel Blisard and Matthew Marge and Scott Thomas 
           and Alan Schultz and Dennis Perzanowski},
 title = {Using vision, acoustics, and natural language for disambiguation},
 booktitle = {Human-Robot Interaction (HRI)},
 year = {2007},
 pages = {73--80},
 }

Vlad I. Morariu, Octavia I. Camps, Mario Sznaier, and Hwasup Lim. Robust Cooperative Visual Tracking: A Combined Nonlinear Dimensionality Reduction/Robust Identification Approach. In Advances in Cooperative Control and Optimization, M. Hirsch, R. Murphey, P. Pardalos and D. Grundel, Eds., Springer Verlag, 2007. PDF BibTeX

@inbook{morariu07rcvt,
 author = {Vlad I. Morariu and Octavia I. Camps and Mario Sznaier and Hwasup Lim},
 editor = {M. Hirsch and R. Murphey and P. Pardalos and D. Grundel},
 title = {Robust Cooperative Visual Tracking: A Combined Nonlinear
          Dimensionality Reduction/Robust Identification Approach},
 booktitle = {Advances in Cooperative Control and Optimization},
 publisher = {Springer Verlag},
 year = {2007}
 }

Vlad I. Morariu and Octavia I. Camps. Modeling Correspondences in Multi-camera Tracking using Nonlinear Manifold Learning and Target Dynamics. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2006. PDF BibTeX

@inproceedings{morariu06correspondences,
 author = {Vlad I. Morariu and Octavia I. Camps},
 title = {Modeling Correspondences for Multi-Camera Tracking 
          Using Nonlinear Manifold Learning and Target Dynamics},
 booktitle = {Computer Vision and Pattern Recognition (CVPR)},
 year = {2006},
 pages = {545--552}
 }

Hwasup Lim, Vlad I. Morariu, Octavia I. Camps, and Mario Sznaier. Dynamic Appearance Modeling for Human Tracking. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2006. PDF BibTeX

@inproceedings{lim06dam,
 author = {Hwasup Lim and Vlad I. Morariu and Octavia I. Camps and Mario Sznaier},
 title = {Dynamic Appearance Modeling for Human Tracking},
 booktitle = {Computer Vision and Pattern Recognition (CVPR)},
 year = {2006},
 pages = {751--757}
 }

Software

FIGTree - Fast Improved Gauss Transform with Tree Data Structure (FIGTree Homepage)
A library for fast computation of Gauss transforms in multiple dimensions, using the Improved Fast Gauss Transform and Approximate Nearest Neighbor searching. The nearest neighbor searching is performed using the ANN library, available at http://www.cs.umd.edu/~mount/ANN/. This software allows for efficient computation of probabilities by Kernel Density Estimation (KDE), and can reduce complexity of algorithms commonly used in Computer Vision, Machine Learning, etc, that must evaluate the Gauss transform. The publication describing the newest improvements in the code is the NIPS 2008 paper by Morariu et al. Previous publications related to this approach are provided on Vikas Raykar's page.