Prof. Corso moved to the Electrical Engineering and Computer Science department at the University of Michigan in the 8/2014. He continues his work and research group in high-level computer vision at the intersection of perception, semantics/language, and robotics. Unless you are looking for something specific, historically, here, you probably would rather go to his new page.
Jason J. Corso
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active clustering  activity recognition  artificial intelligence  augmented reality  belief propagation  bioinformatics  biomarkers  biometrics  braintumor  cognitive systems  computational finance  computer forensics  computer graphics  computer vision  computer-aided diagnosis  cosegmentation  data mining  deformable  dictionary transfer  digitial humanities  document imaging  domain adaptation  dynamic linear models  endoscopy  evaluation  event recognition  facade detection  face detection  face recognition  feature extraction  fusion  gesture recognition  gpu  grammar  graph cuts  graph-based  graphical models  haptics  hierarchical  higher-order  human pose estimation  human-computer interaction  image denoising  image processing  image retrieval  image understanding  language grounding  localization  lung imaging  machine learning  mapping  max-margin  medical imaging  metric learning  mobile robotics  mosaicking  motion estimation  mrf  multimedia  natural language  navigation  neuroimaging  object detection  ontology  probabilistic ontology  protein structure prediction  random forest  reconstruction  segmentation  semantic segmentation  slam  spectral clustering  spine imaging  stereo  streaming  supervoxel  surgical robotics  tomographic reconstruction  tracking  video summarization  video to text  video understanding  visual psychophysics  volume rendering  voxel maps 

[1] C. Xiong, S. McCloskey, and J. J. Corso. Latent domains for visual domain adaptation. In Proceedings of AAAI Conference on Artificial Intelligence, 2014. [ bib ]
[2] S. Kumar, V. Dhiman, and J. J. Corso. Learning compositional sparse models of bimodal percepts. In Proceedings of AAAI Conference on Artificial Intelligence, 2014. [ bib | code | .pdf ]
[3] W. Chen, C. Xiong, R. Xu, and J. J. Corso. Actionness ranking with lattice conditional ordinal random fields. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2014. [ bib ]
[4] C. Xiong, D. M. Johnson, and J. J. Corso. Active clustering with model-based uncertainty reduction. Technical Report 1402.1783, arXiv, 2014. [ bib | .pdf ]
[5] S. Kumar, M. S. Narayanan, P. Singhal, J. J. Corso, and V. Krovi. Surgical tool attributes from monocular video. In Proceedings of IEEE International Conference on Robotics and Automation, 2014. [ bib ]
[6] V. Dhiman, A. Kundu, F. Dellaert, and J. J. Corso. Modern MAP inference methods for accurate and faster occupancy grid mapping on higher order factor graphs. In Proceedings of International Conference on Robotics and Automation, 2014. [ bib | code | .pdf ]
[7] C. Xiong, W. Chen, G. Chen, D. Johnson, and J. J. Corso. Adaptive quantization: An information-based approach to learning binary codes. In Proceedings of SIAM International Conference on Data Mining, 2014. [ bib | code | .pdf ]
[8] C. Xu, R. F. Doell, S. J. Hanson, C. Hanson, and J. J Corso. A study of actor and action semantic retention in video supervoxel segmentation. International Journal of Semantic Computing, 2014. (In Press) Selected as a Best Paper from ICSC; an earlier version appeared as arXiv:1311.3318. [ bib | .pdf ]
[9] P. Agarwal, S. Kumar, J. Ryde, J. J. Corso, and V. N. Krovi. Estimating dynamics on-the-fly using monocular video for vision-based robotics. IEEE/ASME Transactions on Mechatronics, 2014. (In Press). [ bib | http ]
[10] S. Oh, S. McCloskey, I. Kim, A. Vahdat, K. Cannons, H. Hajimirsadeghi, G. Mori, A. G. A. Perera, M. Pandey, and J. J. Corso. Multimedia event detection with multimodal feature fusion and temporal concept localization. Machine Vision and Applications, 25:49-69, 2014. [ bib | http ]
[11] W. Wu, A. Y. C. Chen, L. Zhao, and J. J. Corso. Brain tumor detection and segmentation in a CRF (conditional random fields) framework with pixel-pairwise affinity and superpixel-level features. International Journal of Computer Aided Radiology and Surgery, 9(2):241-253, 2014. [ bib | http ]
[12] A. Barbu, N. Siddharth, C. Xiong, J. J. Corso, C. D. Fellbaum, C. Hanson, S. J. Hanson, S. Hélie, E. Malaia, B. A. Pearlmutter, J. M. Siskind, T. M. Talavage, and R. B. Wilbur. The compositional natural of verb and argument representations in the human brain. Technical Report 1306.2293, arXiv, 2013. [ bib | http ]
[13] J. A. Delmerico, P. David, and J. J. Corso. Building facade detection, segmentation, and parameter estimation for mobile robot stereo vision. Image and Vision Computing, 31(11):841-852, 2013. [ bib | project | data | .pdf ]
[14] C. Xu, S. Whitt, and J. J. Corso. Flattening supervoxel hierarchies by the uniform entropy slice. In Proceedings of the IEEE International Conference on Computer Vision, 2013. [ bib | poster | project | video | .pdf ]
[15] J. A. Delmerico, J. J. Corso, D. Baran, and P. David. Towards autonmous multi-floor exploration: Ascending stairway localization and modeling. Technical Report ARL-TR-6381, Army Research Laboratory, 2013. [ bib ]
[16] R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon. Lumbar spine disc herniation diagnosis with a joint shape model. In Proceedings of Medical Image Computing and Computer Aided Intervention Workshop on Computational Spine Imaging, 2013. [ bib | .pdf ]
[17] C. Xu, R. F. Doell, S. J. Hanson, C. Hanson, and J. J Corso. Are actor and action semantics retained in video supervoxel segmentation? In Proceedings of IEEE International Conference on Semantic Computing, 2013. [ bib | .pdf ]
[18] V. Dhiman, J. Ryde, and J. J. Corso. Mutual localization: Two camera relative 6-dof pose estimation from reciprocal fiducial observation. In Proceedings of International Conference on Intelligent Robots and Systems, 2013. [ bib | slides | code | .pdf ]
[19] S. Kumar, M. Narayanan, P. Singhal, J. J. Corso, and V. Krovi. Product of tracking experts for surgical tool visual tracking. In IEEE Conference on Automation Science and Engineering, 2013. [ bib ]
[20] L. Zhao, W. Wu, and J. J. Corso. Semi-automatic brain tumor segmentation by constrained MRFs using structural trajectories. In Proceedings of Medical Image Computing and Computer Aided Intervention, 2013. [ bib | .pdf ]
[21] C. Xiong, D. M. Johnson, and J. J. Corso. Uncertainty reduction for active image clustering via a hybrid global-local uncertainty model. In Proceedings of AAAI Conference on Artificial Intelligence (Late-Breaking Papers Track), 2013. [ bib | .pdf ]
[22] D. M. Johnson, C. Xiong, J. Gao, and J. J. Corso. Comprehensive cross-hierarchy cluster agreement evaluation. In Proceedings of AAAI Conference on Artificial Intelligence (Late-Breaking Papers Track), 2013. [ bib | code | .pdf ]
[23] P. Das, C. Xu, R. F. Doell, and J. J. Corso. A thousand frames in just a few words: Lingual description of videos through latent topics and sparse object stitching. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2013. [ bib | poster | data | .pdf ]
[24] N. Coffee, J. Gawley, C. W. Forstall, W. J. Scheirer, D. Johnson, J. J. Corso, and B. Parks. Modelling the interpretation of literary allusion with machine learning techniques. In Proceedings of Digital Humanities, 2013. [ bib ]
[25] J. A. Delmerico, D. Baran, P. David, J. Ryde, and J. J. Corso. Ascending stairway modeling from dense depth imagery for traversability analysis. In Proceedings of IEEE International Conference on Robotics and Automation, 2013. [ bib | project | .pdf ]
[26] P. Das, R. K. Srihari, and J. J. Corso. Translating related words to videos and back through latent topics. In Proceedings of Sixth ACM International Conference on Web Search and Data Mining, 2013. [ bib | .pdf ]
[27] Y. Miao and J. J. Corso. Hamiltonian streamline guided feature extraction with application to face detection. Journal of Neurocomputing, 120:226-234, 2013. Early version appears as arXiv.org tech report 1108.3525v1. [ bib | http ]
[28] J. J. Corso. Toward parts-based scene understanding with pixel-support parts-sparse pictorial structures. Pattern Recognition Letters: Special Issue on Scene Understanding and Behavior Analysis, 34(7):762-769, 2013. Early version appears as arXiv.org tech report 1108.4079v1. [ bib | .pdf ]
[29] J. A. Delmerico, J. J. Corso, D. Baran, P. David, and J. Ryde. Ascending stairway modeling: A first step toward autonomous multi-floor exploration. In Proceedings of IEEE/RSJ Intelligent Robots and Systems (Video Proceedings), 2012. [ bib | project | video ]
[30] K. R. Keane and J. J. Corso. Maintaining prior distributions across evolving eigenspaces: An application to portfolio construction. In Proceedings of 11th International Conference on Machine Learning and Applications, 2012. [ bib | .pdf ]
[31] J. Ryde and J. J. Corso. Fast voxel maps with counting bloom filters. In Proceedings of International Conference on Intelligent Robots and Systems, 2012. [ bib | code | .pdf ]
[32] C. Xu, C. Xiong, and J. J. Corso. Streaming hierarchical video segmentation. In Proceedings of European Conference on Computer Vision, 2012. [ bib | code | project | .pdf ]
[33] C. Xiong and J. J. Corso. Coaction discovery: Segmentation of common actions across multiple videos. In Proceedings of Multimedia Data Mining Workshop in Conjunction with the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (MDMKDD), 2012. [ bib | .pdf ]
[34] C. Xiong, D. Johnson, and J. J. Corso. Efficient max-margin metric learning. In Proceedings of European Conference on Data Mining, 2012. Winner of Best Paper Award at ECDM 2012. [ bib | .pdf ]
[35] C. Xiong, D. Johnson, and J. J. Corso. Spectral active clustering via purification of the k-nearest neighbor graph. In Proceedings of European Conference on Data Mining, 2012. [ bib | .pdf ]
[36] P. Agarwal, S. Kumar, J. Ryde, J. J. Corso, and V. N. Krovi. An optimization based framework for human pose estimation in monocular videos. In Proceedings of International Symposium on Visual Computing, 2012. [ bib | .pdf ]
[37] M. A. Bustamante and J. J. Corso. Using probabilistic ontologies for video exploration. In Proceedings of the Eighteenth Americas Conference on Information Systems, 2012. [ bib ]
[38] C. Xiong, D. Johnson, R. Xu, and J. J. Corso. Random forests for metric learning with implicit pairwise position dependence. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012. [ bib | slides | code | .pdf ]
[39] R. Xu, P. Agarwal, S. Kumar, V. N. Krovi, and J. J. Corso. Combining skeletal pose with local motion for human activity recognition. In Proceedings of VII Conference on Articulated Motion and Deformable Objects, 2012. [ bib | slides | .pdf ]
[40] G. Chen, C. Xiong, and J. J. Corso. Dictionary transfer for image denoising via domain adaptation. In Proceedings of IEEE International Conference on Image Processing, 2012. [ bib | .pdf ]
[41] P. Agarwal, S. Kumar, J. Ryde, J. J. Corso, and V. N. Krovi. Estimating human dynamics on-the-fly using monocular video for pose estimation. In Proceedings of Robotics Science and Systems, 2012. [ bib | .pdf ]
[42] S. Sadanand and J. J. Corso. Action bank: A high-level representation of activity in video. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2012. [ bib | code | project | .pdf ]
[43] C. Xu and J. J. Corso. Evaluation of super-voxel methods for early video processing. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2012. [ bib | code | project | .pdf ]
[44] K. R. Keane and J. J. Corso. Dynamically mixing dynamic linear models with applications in finance. In Proceedings of International Conference on Pattern Recognition Applications and Methods, 2012. [ bib | .pdf ]
[45] C. S. Lea and J. J. Corso. Efficient hierarchical markov random fields for object detection on a mobile robot. Technical Report 1111.1599v1, arXiv, November 2011. [ bib ]
[46] Y. Miao and J. J. Corso. Hamiltonian streamline guided feature extraction with applications to face detection. Technical Report 1108.3525v1, arXiv, August 2011. [ bib ]
[47] A. Perera, S. Oh, M. Leotta, I. Kim, B. Byun, C.-H. Lee, S. McCloskey, J. Liu, B. Miller, Z. F. Huang, A. Vahdat, W. Yang, G. Mori, K. Tang, D. Koller, L. Fei-Fei, K. Li, G. Chen, J. J. Corso, Y. Fu, and R. K. Srihari. GENIE TRECVID2011 multimedia event detection: Late-fusion approaches to combine multiple audio-visual features. In NIST TRECVID Workshop, 2011. [ bib ]
[48] J. A. Delmerico, P. David, and J. J. Corso. Building facade detection, segmentation, and parameter estimation for mobile robot localization and guidance. In Proceedings of International Conference on Intelligent Robots and Systems, 2011. [ bib | project | data | .pdf ]
[49] P. Agarwal, S. Kumar, J. J. Corso, and V. N. Krovi. Estimating dynamics on-the-fly using monocular video. In Proceedings of 4th Annual Dynamic Systems and Control Conference, 2011. [ bib | .pdf ]
[50] D. R. Schlegel, A. Y. C. Chen, C. Xiong, J. A. Delmerico, and J. J.  Corso. AirTouch: Interacting with computer systems at a distance. In Proceedings of IEEE Winter Vision Meetings: Workshop on Applications of Computer Vision (WACV), 2011. [ bib | .pdf ]
[51] D. Gagneja, C. Xiong, and J. J. Corso. Towards a parts-based approach to sub-cortical brain structure parsing. In Proceedings of SPIE Conference on Medical Imaging, 2011. [ bib | .pdf ]
[52] A. Y. C. Chen and J. J. Corso. Temporally consistent multi-class video-object segmentation with the video graph-shifts algorithm. In Proceedings of the 2011 IEEE Workshop on Motion and Video Computing, 2011. [ bib | code | project | .pdf ]
[53] R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon. Toward a clinical lumbar CAD: Herniation diagnosis. International Journal of Computer Aided Radiology and Surgery, 6(1):119-126, 2011. [ bib | .pdf ]
[54] R. S. Alomari, J. J. Corso, and V. Chaudhary. Labeling of lumbar discs using both pixel- and object-level features with a two-level probabilistic model. IEEE Transactions on Medical Imaging, 30(1):1-10, 2011. [ bib | .pdf ]
[55] Y. Tang, S. Srihari, H. Kasiviswanathan, and J. J. Corso. Footwear print retrieval system for real crime scene marks. In Proceedings of International Workshop on Computational Forensics, 2010. [ bib | .pdf ]
[56] A. Y. C. Chen and J. J. Corso. Propagating multi-class pixel labels throughout video frames. In Proceedings of Western New York Image Processing Workshop, 2010. [ bib | .pdf ]
[57] J. A. Delmerico, J. J. Corso, and P. David. Boosting with stereo features for building facade detection on mobile platforms. In Proceedings of Western New York Image Processing Workshop, 2010. [ bib | .pdf ]
[58] W. Ceusters, J. J. Corso, Y. Fu, M. Petropoulos, and V. Krovi. Introducing ontological realism for semi-supervised detection and annotation of operationally significant activity in surveillance videos. In Proceedings of the 5th International Conference on Semantic Technologies for Intelligence, Defense and Security (STIDS), 2010. [ bib | .pdf ]
[59] R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon. Lumbar disc herniation cad with a GVF-snake model. In Proceedings of the 24th International Conference on Computer Aided Diagnosis and Surgery (CARS '10), 2010. [ bib | .pdf ]
[60] M. R. Malgireddy, J. J. Corso, S. Setlur, V. Govindaraju, and D. Mandalapu. A framework for hand gesture recognition and spotting using sub-gesture modeling. In Proceedings of the 20th International Conference on Pattern Recognition, 2010. [ bib | .pdf ]
[61] A. Y. C. Chen and J. J. Corso. On the effects of normalization in adaptive MRF hierarchies. In Proceedings of CompImage '10-Computational Modeling of Objects Presented in Images, 2010. [ bib | .pdf ]
[62] P. B. Noël, A. Walczak, J. Xu, J. J. Corso, K. R. Hoffmann, and S. Schafer. GPU-based cone beam computed tomography. Computer Methods and Programs in Biomedicine, 98(3):271-277, 2010. [ bib | .pdf ]
[63] R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon. Automatic diagnosis of lumbar disc herniation using shape and appearance features from mri. In Proceedings of SPIE Conference on Medical Imaging, 2010. [ bib | .pdf ]
[64] R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon. Computer-aided diagnosis of lumbar disc pathology from clinical lower spine MRI. International Journal of Computer Aided Radiology and Surgery, 5(3):287-293, 2010. [ bib | .pdf ]
[65] H. Z. Girgis, J. J. Corso, and D. Fischer. On-line hierarchy of general linear models for selecting and ranking the best predicted protein structures. In Proceedings of IEEE Conference on Engineering in Medicine and Biology, volume 1, pages 4949-4953, 2009. [ bib | .pdf ]
[66] P. Noël, J. Xu, K. R. Hoffmann, and J. J. Corso. Geometric tomography: a limited-view approach for computed tomography. In Proceedings of the 25th Annual Symposium on Computational Geometry, 2009. [ bib | .pdf ]
[67] Y. Tao, L. Lu, M. Dewan, A. Y. C. Chen, J. J. Corso, J. Xuan, M. Salganicoff, and A. Krishnan. Multi-level ground glass nodule detection and segmentation in ct lung images. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), volume LNCS 5762, pages 715-723, 2009. [ bib | .pdf ]
[68] R. Rodrigues, G. Schroeder, J. J. Corso, and V. Govindaraju. Unconstrained face recognition using MRF priors and manifold traversing. In Proceedings of IEEE International Conference on Biometrics: Theory, Applications, Systems, 2009. [ bib | .pdf ]
[69] T. J. Burns and J. J. Corso. Robust unsupervised segmentation of degraded document images with topic models. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2009. [ bib | .pdf ]
[70] R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon. Desiccation diagnosis in lumbar discs from clinical mri with a probabilistic model. In Proceedings of 2009 IEEE International Symposium on Biomedical Imaging, 2009. [ bib | .pdf ]
[71] R. S. Alomari, J. J. Corso, V. Chaudhary, and G. Dhillon. Abnormality detection in lumbar discs from clinical mr images with a probabilistic model. In Proceedings of 23rd International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS 2009), 2009. [ bib | .pdf ]
[72] J. J. Corso and G. D. Hager. Image Description with Features that Summarize. Computer Vision and Image Understanding, 113:446-458, 2009. [ bib | .pdf ]
[73] S. Seshamani, M. D. Smith, J. J. Corso, M. O. Filipovich, A. Natarajan, and G. D. Hager. Direct Global Adjustment Methods for Endoscopic Mosaicking. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib ]
[74] P. B. Noël, J. J. Corso, J. Xu, K. R. Hoffmann, S. Schafer, and A. Walczak. Reconstruction from a Flexible Number of Projections in Cone-Beam Computed Tomography via Active Shape Models. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib | .pdf ]
[75] P. B. Noël, J. Xu, K. R. Hoffmann, J. J. Corso, S. Schafer, and A. Walczak. High Contrast Artifact Reduction in Cone Beam Computed Tomography by Using Geometric Techniques. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib | .pdf ]
[76] C. S. Hoeflich and J. J. Corso. Segmentation of 2D Gel Electrophoresis Spots using a Markov Random Field. In Proceedings of SPIE Conference on Medical Imaging, 2009. [ bib | .pdf ]
[77] H. Girgis and J. J. Corso. STP: The Sample-Train-Predict Algorithm and Its Application to Protein Structure Meta-Selection. Technical Report 2008-16, University at Buffalo SUNY, 2008. [ bib ]
[78] P. B. Noël, A. Walczak, K. R. Hoffmann, J. Xu, J. J. Corso, and S. Schafer. Clinical Evaluation of GPU-Based Cone Beam Computed Tomography. In Proceedings of High-Performance Medical Image Computing and Computer-Aided Intervention (HP-MICCAI), 2008. [ bib | .pdf ]
[79] J. Li, S. Tulyakov, F. Farooq, J. J. Corso, and V. Govindaraju. Integrating minutiae based fingerprint matching with local mutual information. In Proceedings of International Conference on Pattern Recognition, 2008. [ bib | .pdf ]
[80] A. Y. C. Chen, J. J. Corso, and L. Wang. HOPS: Efficient region labeling using higher order proxy neighborhoods. In Proceedings of International Conference on Pattern Recognition, 2008. [ bib | .pdf ]
[81] I. Nwogu, J. J. Corso, and T. Bittner. The design of an ontology-enhanced anatomy labeler. Technical Report 2008-09, University at Buffalo SUNY, 2008. [ bib | .pdf ]
[82] I. Nwogu and J. J. Corso. Exploratory identification of image-based bio-markers for solid mass pulmonary tumors. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), volume LNCS 5241, Part 1, pages 612-619, 2008. [ bib | .pdf ]
[83] J. J. Corso, R. S. Alomari, and V. Chaudhary. Lumbar disc localization and labeling with a probabilistic model on both pixel and object features. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), volume LNCS 5241 Part 1, pages 202-210, 2008. [ bib | .pdf ]
[84] J. J. Corso, G. Ye, D. Burschka, and G. D. Hager. A Practical Paradigm and Platform for Video-Based Human-Computer Interaction. IEEE Computer, 42(5):48-55, 2008. [ bib | .pdf ]
[85] J. J. Corso, A. Yuille, and Z. Tu. Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical Computing. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | code | project | .pdf ]
[86] J. J. Corso. Discriminative Modeling by Boosting on Multilevel Aggregates. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | .pdf ]
[87] I. Nwogu and J. J. Corso. (BP)2: Beyond Pairwise Belief Propagation, Labeling by Approximating Kikuchi Free Energies. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | .pdf ]
[88] J. J. Corso, Z. Tu, and A. Yuille. MRF Labeling with a Graph-Shifts Algorithm. In Proceedings of International Workshop on Combinatorial Image Analysis, volume LNCS 4958, pages 172-184, 2008. [ bib | .pdf ]
[89] I. Nwogu and J. J. Corso. Labeling irregular graphs with belief propagation. In Proceedings of International Workshop on Combinatorial Image Analysis, volume LNCS 4958, pages 295-305, 2008. [ bib | .pdf ]
[90] S. Dube, J. J. Corso, A. Yuille, T. F. Cloughesy, S. El-Saden, and U. Sinha. Hierarchical Segmentation of Malignant Gliomas Via Integrated Contextual Filter Response. In Proceedings of SPIE Conference on Medical Imaging, 2008. [ bib ]
[91] J. J. Corso, E. Sharon, S. Dube, S. El-Saden, U. Sinha, and A. Yuille. Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model Classification. IEEE Transactions on Medical Imaging, 27(5):629-640, 2008. [ bib | .pdf ]
[92] S. Dube, J. J. Corso, T. F. Cloughesy, S. El-Saden, A. Yuille, and U. Sinha. Data Mining Systems Analysis and Optimization in Biomedicine, chapter Automated MR Image Processing and Analysis of Malignant Brain Tumors: Enabling Technology for Data Mining. American Institute of Physics, 2007. [ bib ]
[93] J. J. Corso, A. L. Yuille, N. L. Sicotte, and A. Toga. Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), 2007. [ bib | .pdf ]
[94] C. Arnold, J. J. Corso, and A. Bui. An Unsupervised Approach to Automatic Image Annotation. In NSF Biomedical Informatics Workshop: Expanding Secondary Use of Health Data, 2007. [ bib ]
[95] J. J. Corso, Z. Tu, A. Yuille, and A. W. Toga. Segmentation of Sub-Cortical Structures by the Graph-Shifts Algorithm. In Proceedings of Information Processing in Medical Imaging (IPMI), volume LNCS 4584, pages 183-197, 2007. [ bib | .pdf ]
[96] J. J. Corso, E. Sharon, and A. L. Yuille. Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation. In Proceedings of Medical Image Computing and Computer Aided Intervention (MICCAI), volume 2, pages 790-798, 2006. [ bib | .pdf ]
[97] J. J. Corso and G. D. Hager. Coherent Regions for Concise and Stable Image Description . In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 184-190, 2005. [ bib | .pdf ]
[98] J. J. Corso. Techniques for Vision-Based Human-Computer Interaction. PhD thesis, The Johns Hopkins University, 2005. [ bib | .pdf ]
[99] J. J. Corso, G. Ye, and G. D. Hager. Analysis of Composite Gestures with a Coherent Probabilistic Graphical Model. Virtual Reality, 8(4):242-252, 2005. [ bib | .pdf ]
[100] D. Burschka, G. Ye, J. J. Corso, and G. D. Hager. A Practical Approach for Integrating Vision-Based Methods into Interactive 2D/3D Applicationsa. Technical report, The Johns Hopkins University, 2005. CIRL Lab Technical Report CIRL-TR-05-01. [ bib | .pdf ]
[101] G. Ye, J. J. Corso, and G. D. Hager. Real-Time Vision for Human-Computer Interaction, chapter 7: Visual Modeling of Dynamic Gestures Using 3D Appearance and Motion Features, pages 103-120. Springer-Verlag, 2005. [ bib | .pdf ]
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[107] W. W. Lau, N. A. Ramey, J. J. Corso, N. Thakor, and G. D. Hager. Stereo-Based Endoscopic Tracking of Cardiac Surface Deformation. In Proceedings of Seventh International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2004. [ bib ]
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[115] J. J. Corso and G. D. Hager. Planar Surface Tracking Using Direct Stereo. Technical report, The Johns Hopkins University, 2002. CIRL Lab Technical Report. [ bib | .pdf ]
[116] J. J. Corso and J. D. Cohen. Out-Of-Core Voxelization of Large Scalar Fields for Interactive Multiresolution Volume Rendering. Technical report, The Johns Hopkins University, 2002. Graphics Lab Technical Report. [ bib ]
[117] J. Leven, J. J. Corso, J. D. Cohen, and S. Kumar. Interactive Visualization of Unstructured Grids Using Hierarchical 3D Textures. In Proceedings of IEEE/SIGGRAPH Symposium on Volume Visualization and Graphics 2002, pages 37-44, 2002. [ bib | .pdf ]
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last updated: Tue Jul 29 10:11:56 2014; copyright jcorso