Jason J. Corso
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action detection  action segmentation  active clustering  activity recognition  artificial intelligence  augmented reality  autonomous driving  belief propagation  bioinformatics  biomarkers  biometrics  braintumor  cognitive systems  computational finance  computer forensics  computer graphics  computer vision  computer-aided diagnosis  control  cosegmentation  data mining  deep learning  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  information fusion  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  robotics  segmentation  semantic segmentation  semi-supervised  slam  spectral clustering  spine imaging  stereo  streaming  supervoxel  surgical robotics  tomographic reconstruction  tracking  video summarization  video to text  video understanding  vision-based control  visual psychophysics  volume rendering  voxel maps 


[1] J. Y. Song, S. J. Lemmer, M. X. Liu, S. Yan, J. Kim, J. J. Corso, and W. S. Lasecki. Popup: Reconstructing 3d video using particle filtering to aggregate crowd responses. In Proceedings of ACM International Conference on Intelligent User Interfaces, 2019. [ bib | http ]
[2] H. Tang, X. Chen, W. Wang, D. Xu, J. J. Corso, N. Sebe, and Y. Yan. Attribute-guided sketch generation. In Proceedings of IEEE Conference on Automatic Face and Gesture Recognition, 2019. [ bib | http ]
[3] H. Tang, D. Xu, Y. Yan, Y. Wang, J. J. Corso, and N. Sebe. Multi-channel attention selection GAN with cascaded semantic guidance for cross-view image translation. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019. [ bib ]
[4] L. Zhou, Y. Kalantidis, X. Chen, J. J. Corso, and M. Rohrbach. Grounded video description. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019. [ bib ]
[5] B. Griffin and J. J. Corso. BubbleNets: Learning to select the guidance frame in video object segmentation by deep sorting frames. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019. [ bib ]
[6] B. Griffin and J. J. Corso. Tukey-inspired video object segmentation. In Proceedings of IEEE Winter Conference on Applications of Computer Vision, 2019. [ bib | http ]
[7] S. Kumar, V. Dhiman, P. Koch, and J. J. Corso. Learning compositional sparse bimodal models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(5):1032--1044, 2018. [ bib | DOI | code ]
[8] K. R. Keane and J. J. Corso. The wrong tool for inference --- a critical view of gaussian graphical models. In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018. [ bib ]
[9] L. Zhou, C. Xu, and J. J. Corso. Towards automatic learning of procedures from web instructional videos. In Proceedings of AAAI Conference on Artificial Intelligence, 2018. [ bib | code | data | http ]
[10] L. Zhou, Y. Zhou, J. J. Corso, R. Socher, and C. Xiong. End-to-end dense video captioning with masked transformer. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2018. [ bib | code | .pdf ]
[11] X. Sun, R. Szeto, and J. J. Corso. A Temporally-Aware Interpolation Network for Video Frame Inpainting. In Proceedings of Asian Conference on Computer Vision (ACCV), 2018. [ bib | code | project | http ]
[12] L. Zhou, N. Louis, and J. J. Corso. Weakly-supervised video object grounding from text by loss weighting and object interaction. In Proceedings of British Machine Vision Conference, 2018. [ bib | .pdf ]
[13] R. Szeto, S. Stent, G. Ros, and J. J. Corso. A dataset to evaluate the representations learned by video prediction models. Technical report, ICLR Workshops, 2018. [ bib | code | project | http ]
[14] A. Venkataraman, B. Griffin, and J. J. Corso. Learning kinematic descriptions using spare: Simulated and physical ARticulated extendable dataset. Technical Report 1803.11147, ARXIV, 2018. [ bib | http ]
[15] V. Dhiman, S. Banerjee, B. Griffin, J. M. Siskind, and J. J. Corso. A critical investigation of deep reinforcement learning for navigation. Technical Report 1802.02274, ARXIV, 2018. [ bib | http ]
[16] S. Patel, B. Griffin, K. Kusano, and J. J. Corso. Predicting future lane changes of other highway vehicles using rnn-based deep models. Technical Report 1801.04340, ARXIV, 2018. [ bib | http ]
[17] M. R. Ganesh, E. Hofesmann, B. Min, N. Gafoor, and J. J. Corso. T-recs: Training for rate-invariant embeddings by controlling speed for action recognition. Technical Report 1803.08094, ARXIV, 2018. [ bib | http ]
[18] E. Hofesmann, M. R. Ganesh, and J. J. Corso. M-PACT: An open source platform for repeatable activity classification research. Technical Report 1804.05879, ARXIV, 2018. [ bib | code | http ]
[19] M. El Banani and J. J. Corso. Adviser networks: Learning what question to ask for human-in-the-loop viewpoint estimation. Technical Report 1802.01666, ARXIV, 2018. [ bib | code | http ]
[20] C. Xiong, D. M. Johnson, and J. J. Corso. Active clustering with model-based uncertainty reduction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(1):5--17, 2017. Original Version: ArXiv 1402.1783. [ bib | .pdf ]
[21] 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, 19(4), 2017. [ bib ]
[22] D. Sarikaya, J. J. Corso, and K. A. Guru. Detection and localization of robotic tools in robot-assisted surgery videos using deep neural networks for region proposal and detection. IEEE Transactions on Medical Imaging, 36(7):1542--1549, 2017. [ bib ]
[23] 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 ]
[24] Y. Yan, C. Xu, D. Cai, and J. J. Corso. Weakly supervised actor-action segmentation via robust multi-task ranking. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2017. [ bib ]
[25] R. Szeto and J. J. Corso. Click-here: Human-localized keypoints as guidance for viewpoint estimation. In Proceedings of IEEE International Conference on Computer Vision, 2017. [ bib | poster | code | project | data | .pdf ]
[26] L. Zhou, C. Xu, P. Koch, and J. J. Corso. Watch what you just said: Image captioning with text-conditional attention. In Proceedings of the Thematic Workshops of ACM Multimedia, 2017. [ bib ]
[27] D. M. Johnson, C. Xiong, and J. J. Corso. Semi-supervised nonlinear distance metric learning via forests of max-margin cluster hierarchies. IEEE Transactions on Knowledge and Data Engineering, 28(4):1035--1046, 2016. [ bib | DOI | .pdf ]
[28] 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 ]
[29] 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 ]
[30] W. Ding, M. R. Ganesh, R. N. Severinghaus, J. J. Corso, and D. Panagou. Real-time model predictive control for keeping a quadrotor vehicle on the camera field-of-view of a ground robot. In Proceedings of the American Control Conference, 2016. [ bib | .pdf ]
[31] L. Zhao, D. Chan, Z. Chen, X. Wang, N. Paliwal, J. Xiang, H. Meng, J. J. Corso, and J. Xu. Rapid virtual stenting for intracranial aneurysms. In Proceedings of SPIE Conference on Medical Imaging, 2016. [ bib | http ]
[32] 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 ]
[33] S. Kumar, V. Dhiman, M. R. Ganesh, and J. J. Corso. Spatiotemporal articulated models for dynamic slam. Technical Report 1604.03526, arXiv, 2016. [ bib ]
[34] P. Koch and J. J. Corso. Sparse factorization layers for neural networks with limited supervision. CoRR, abs/1612.04468, 2016. [ bib | http ]
[35] 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 ]
[36] 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 ]
[37] 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 ]
[38] 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 ]
[39] S. Kumar, N. Ahmidi, G. Hager, P. Singhal, J. J. Corso, and V. Krovi. Surgical performance assessment. ASME Dynamics Systems and Control Magazine, 3(3):7--10, 2015. [ bib | project | .pdf ]
[40] B. H. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby, Y. Burren, N. Porz, J. Slotboom, R. Wiest, L. Lanczi, R. Gerstner, M.-A. Weber, T. Arbel, B. B. Avants, N. Ayache, P. Buendia, D. L. Collins, N. Cordier, J. J. Corso, A. Criminisi, T. Das, H. Delingette, C. Demiralp, C. R. Durst, M. Dojat, S. Doyle, J. Festa, F. Forbes, E. Geremia, B. Glocker, P. Golland, X. Guo, A. Hamamci, K. M. Iftekharuddin, R. Jena, N. M. John, E. Konukoglu, D. Lashkari, J. A. Mariz, R. Meier, S. Pereira, D. Precup, S. J. Price, T. Riklin Raviv, S. Reza, M. Ryan, D. Sarikaya, L. Schwartz, H.-C. Shin, J. Shotton, C. A. Silva, N. Sousa, N. K. Subbanna, G. Szekely, T. J. Taylor, O. M. Thomas, N. J. Tustison, G. Unal, F. Vasseur, M. Wintermark, D. H. Ye, L. Zhao, B. Zhao, D. Zikic, M. Prastawa, M. Reyes, and K. Van Leemput. The multimodal brain tumor image segmentation benchmark (brats). IEEE Transactions on Medical Imaging, 34(10):1993--2024, 2015. [ bib | http ]
[41] L. Zhao, Z. Peng, K. Finkler, A. Jerebko, J. J. Corso, and X. S. Zhou. Automatic collimation detection in digital radiographs with the directed hough transform and learning-based edge detection. In Patch-Based Techniques in Medical Imaging (LNCS 9467), pages 71--78. Springer International Publishing, 2015. [ bib | .pdf ]
[42] 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 ]
[43] 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 ]
[44] 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 ]
[45] 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 ]
[46] 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 ]
[47] 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 ]
[48] 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 ]
[49] 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 ]
[50] 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 ]
[51] C. Xiong, S. McCloskey, and J. J. Corso. Latent domains for visual domain adaptation. In Proceedings of AAAI Conference on Artificial Intelligence, 2014. [ bib ]
[52] 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 ]
[53] G. A. Gross, D. R. Schlegel, J. J. Corso, J. Llinas, R. Nagi, and S. C. Shapiro. Systemic test and evaluation of a hard+soft information fusion framework: Challenges and current approaches. In Proceedings of International Conference on Information Fusion, 2014. [ bib | .pdf ]
[54] 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 ]
[55] 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 ]
[56] 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 ]
[57] 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 ]
[58] 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 ]
[59] 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 ]
[60] 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 ]
[61] 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 ]
[62] 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 ]
[63] 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 | .pdf ]
[64] 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 ]
[65] 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 ]
[66] 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 ]
[67] 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 ]
[68] 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 ]
[69] 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 ]
[70] 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 ]
[71] 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 ]
[72] 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 ]
[73] 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 ]
[74] 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 ]
[75] 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 ]
[76] 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 ]
[77] 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 ]
[78] 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 ]
[79] 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 ]
[80] 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 ]
[81] 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 ]
[82] 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 ]
[83] 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 ]
[84] 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 ]
[85] 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 ]
[86] 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 ]
[87] 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 ]
[88] Y. Miao and J. J. Corso. Hamiltonian streamline guided feature extraction with applications to face detection. Technical Report 1108.3525v1, arXiv, August 2011. [ bib ]
[89] 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 ]
[90] 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 ]
[91] 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 ]
[92] 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 ]
[93] 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 ]
[94] 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 ]
[95] 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 ]
[96] 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 ]
[97] 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 ]
[98] 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 ]
[99] 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 ]
[100] 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 ]
[101] 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 ]
[102] 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 ]
[103] 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 ]
[104] 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 ]
[105] 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 ]
[106] 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 ]
[107] 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 ]
[108] 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 ]
[109] 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 ]
[110] 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 ]
[111] J. J. Corso and G. D. Hager. Image Description with Features that Summarize. Computer Vision and Image Understanding, 113:446--458, 2009. [ bib | .pdf ]
[112] 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 ]
[113] 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 ]
[114] 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 ]
[115] 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 ]
[116] 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 ]
[117] 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 ]
[118] 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 ]
[119] 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 ]
[120] 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 ]
[121] 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 ]
[122] 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 ]
[123] 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 ]
[124] J. J. Corso. Discriminative Modeling by Boosting on Multilevel Aggregates. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2008. [ bib | .pdf ]
[125] 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 ]
[126] 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 ]
[127] 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 ]
[128] 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 ]
[129] 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 ]
[130] 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 ]
[131] 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 ]
[132] 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 ]
[133] 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 ]
[134] 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 ]
[135] 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 ]
[136] 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 ]
[137] 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 ]
[138] 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 ]
[139] 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 ]
[140] 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 ]
[141] 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 ]
[142] 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 ]
[143] J. J. Corso. Techniques for Vision-Based Human-Computer Interaction. PhD thesis, The Johns Hopkins University, 2005. [ bib | .pdf ]
[144] 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 ]
[145] 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 ]
[146] 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 ]
[147] 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 ]
[148] 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 ]
[149] 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 ]
[150] 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 ]
[151] 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 ]
[152] 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 ]
[153] 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 ]
[154] J. J. Corso, D. Burschka, and G. D. Hager. The 4DT: Unencumbered HCI With VICs. In Proceedings of CVPRHCI, 2003. [ bib | .pdf ]
[155] 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 ]
[156] 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 ]
[157] J. J. Corso, J. Chhugani, and A. Okamura. Interactive Haptic Rendering of Deformable Surfaces Based on the Medial Axis Transform. In Eurohaptics, pages 92--98, 2002. [ bib | .pdf ]
[158] 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 ]
[159] 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 ]
[160] 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 ]
[161] 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 ]


last updated: Tue May 21 11:35:37 2019; copyright jcorso
Please report broken links to Prof. Corso jjcorso@eecs.umich.edu .