Jason J. Corso
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tag: computer vision

[1] C. Chen and J. J. Corso. Joint occlusion boundary detection and figure/ground assignment by extracting common-fate fragments in a back-projection scheme. Pattern Recognition, 64:15--28, 2017. [ bib ]
[2] C. Xu and J. J. Corso. LIBSVX: A supervoxel library and benchmark for early video processing. International Journal of Computer Vision, 119:272--290, 2016. [ bib ]
[3] C. Xu and J. J. Corso. Actor-action semantic segmentation with grouping-process models. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016. [ bib | data ]
[4] V. Dhiman, Q.-H. Tran, J. J. Corso, and M. Chandraker. A continuous occlusion model for road scene understanding. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2016. [ bib ]
[5] W. Chen and J. J. Corso. Action detection by implicit intentional motion clustering. In Proceedings of IEEE International Conference on Computer Vision, 2015. [ bib | poster | .pdf ]
[6] C. Xu, S.-H. Hsieh, C. Xiong, and J. J. Corso. Can humans fly? Action understanding with multiple classes of actors. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015. [ bib | poster | data | .pdf ]
[7] J. Lu, R. Xu, and J. J. Corso. Human action segmentation with hierarchical supervoxel consistency. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2015. [ bib | .pdf ]
[8] R. Xu, C. Xiong, W. Chen, and J. J. Corso. Jointly modeling deep video and compositional text to bridge vision and language in a unified framework. In Proceedings of AAAI Conference on Artificial Intelligence, 2015. [ bib | .pdf ]
[9] A. Barbu, D. Barrett, W. Chen, 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. Seeing is worse than believing: Reading people's minds better than computer-vision methods recognize actions. In Proceedings of European Conference on Computer Vision, 2014. [ bib | .pdf ]
[10] 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 ]
[11] 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 | poster | code | .pdf ]
[12] 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. Selected as a Best Paper from ICSC; an earlier version appeared as arXiv:1311.3318. [ bib | .pdf ]
[13] 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, 19(4):1412--1423, 2014. [ bib | http ]
[14] 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 ]
[15] 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 ]
[16] 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 ]
[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] 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 ]
[19] 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 ]
[20] 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 ]
[21] 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 ]
[22] 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 ]
[23] 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 ]
[24] 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 ]
[25] 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 ]
[26] 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 ]
[27] 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 ]
[28] 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 ]
[29] 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 ]
[30] 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 ]
[31] 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 ]
[32] 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 ]
[33] Y. Miao and J. J. Corso. Hamiltonian streamline guided feature extraction with applications to face detection. Technical Report 1108.3525v1, arXiv, August 2011. [ bib ]
[34] 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 ]
[35] 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 ]
[36] 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 ]
[37] 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 ]
[38] 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 ]
[39] 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 ]
[40] 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 ]
[41] 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 ]
[42] 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 ]
[43] 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 ]
[44] 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 ]
[45] J. J. Corso and G. D. Hager. Image Description with Features that Summarize. Computer Vision and Image Understanding, 113:446--458, 2009. [ bib | .pdf ]
[46] 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 ]
[47] 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 ]
[48] 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 ]
[49] 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 ]
[50] 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 ]
[51] J. J. Corso. Discriminative Modeling by Boosting on Multilevel Aggregates. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | .pdf ]
[52] 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 ]
[53] 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 ]
[54] 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 ]
[55] 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 ]
[56] J. J. Corso. Techniques for Vision-Based Human-Computer Interaction. PhD thesis, The Johns Hopkins University, 2005. [ bib | .pdf ]
[57] 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 ]
[58] 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 ]
[59] 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 ]
[60] D. Burschka, J. J. Corso, M. Dewan, W. Lau, M. Li, H. Lin, P. Marayong, N. Ramey, G. D. Hager, B. Hoffman, D. Larkin, and C. Hasser. Navigating Inner Space: 3-D Assistance for Minimally Invasive Surgery. Robotics and Autonomous System, 2005. [ bib ]
[61] J. J. Corso. Vision-Based Techniques for Dynamic, Collaborative Mixed-Realities. In B. J. Thompson, editor, Research Papers of the Link Foundation Fellows, volume 4. University of Rochester Press, 2004. Invited Report for Link Foundation Fellowship. [ bib ]
[62] J. J. Corso, M. Dewan, and G. D. Hager. Image Segmentation Through Energy Minimization Based Subspace Fusion. In Proceedings of 17th International Conference on Pattern Recogntion (ICPR 2004), 2004. [ bib | .pdf ]
[63] G. Ye, J. J. Corso, D. Burschka, and G. D. Hager. VICs: A Modular HCI Framework Using Spatio-Temporal Dynamics. Machine Vision and Applications, 16(1):13--20, 2004. [ bib ]
[64] J. J. Corso, M. Dewan, and G. D. Hager. Image Segmentation Through Energy Minimization Based Subspace Fusion. Technical Report  CIRL-TR-04-01, The Johns Hopkins University, 2004. [ bib | .pdf ]
[65] N. Ramey, J. J. Corso, W. W. Lau, D. Burschka, and G. D. Hager. Real Time 3D Surface Tracking and Its Applications. In Proceedings of Workshop on Real-time 3D Sensors and Their Use (at CVPR 2004), 2004. [ bib | .pdf ]
[66] G. Ye, J. J. Corso, and G. D. Hager. Gesture Recognition Using 3D Appearance and Motion Features. In Proceedings of Workshop on Real-time Vision for Human-Computer Interaction (at CVPR 2004), 2004. [ bib | .pdf ]
[67] G. Ye, J. J. Corso, G. D. Hager, and A. M. Okamura. VisHap: Augmented Reality Combining Haptics and Vision. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2003. [ bib | .pdf ]
[68] J. J. Corso, N. Ramey, and G. D. Hager. Stereo-Based Direct Surface Tracking with Deformable Parametric Models. Technical report, The Johns Hopkins University, 2003. CIRL Lab Technical Report 2003-02. [ bib | .pdf ]
[69] J. J. Corso, D. Burschka, and G. D. Hager. The 4DT: Unencumbered HCI With VICs. In Proceedings of CVPRHCI, 2003. [ bib | .pdf ]
[70] J. J. Corso, D. Burschka, and G. D. Hager. Direct Plane Tracking in Stereo Image for Mobile Navigation. In Proceedings of International Conference on Robotics and Automation, 2003. [ bib | .pdf ]
[71] G. Ye, J. J. Corso, D. Burschka, and G. D. Hager. VICs: A Modular Vision-Based HCI Framework. In Proceedings of 3rd International Conference on Computer Vision Systems, pages 257--267, 2003. [ bib | .pdf ]
[72] 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 ]
[73] 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 ]
[74] J. J. Corso, G. Ye, D. Burschka, and G. D. Hager. Software Systems for Vision-Based Spatial Interaction. In Proceedings of 2002 Workshop on Intelligent Human Augmentation and Virtual Environments, pages D--26 and D--56, 2002. [ bib ]
[75] T. Han, H. Yao, C. Xu, X. Sun, Y. Zhang, and J. J. Corso. Dancelets mining for video recommendation based on dance styles. IEEE Transactions on Multimedia, 2017 (to appear). [ bib ]

last updated: Tue Mar 14 16:39:55 2017; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .