Recent Publications

A. Humayun, F. Li, and J. M. Rehg. “The Middle Child Problem: Revisiting Parametric Min-cut and Seeds for Object Proposals.” In ICCV 2015, Santiago, Chile.

[ PDF ] : [ Project Webpage ]

A. Gupta, Y.-Y. Liu, J. Sun and J. M. Rehg. “Visualizing State-Based Hypertenstion Progression Models.” In IEEE Vis 2014 EHRVis Workshop, Paris, France.

[ PDF ]

J. Hernandez, Yin Li, J. M. Rehg and R. W. Picard. “Physiological Parameter Estimation Using a Head-mounted Wearable Device.” In MOBIHEALTH 2014, Athens, Greece. Best Paper Award.

[ PDF ] : [ Project Webpage ]

A. Ciptadi, M. S. Goodwin and J. M. Rehg. “Movement Pattern Histogram for Action Recognition and Retrieval.” In Proc of ECCV 2014, Zurich, Switzerland.

[ PDF ]

A. Kundu, Y. Li, F. Daellert, F. Li and J. M. Rehg. “Joint Semantic Segmentation and 3D Reconstruction from Monocular Video.” In Proc of ECCV 2014, Zurich, Switzerland.

[ PDF ] : [ Project Webpage ]

D. Park, A. Kapusta, Y. K. Kim, J. M. Rehg, and C. Kemp. “Learning to Reach into the Unknown: Selecting an Initial Condition When Reaching in Clutter.” In Proc of IROS 2014, Chicago, IL.

A. Humayun, F. Li, and J. M. Rehg. “RIGOR: Reusing Inference in Graph Cuts for generating Object Regions.” In Proc of CVPR 2014, Columbus, OH.

[ PDF ] : [ Project Webpage ]

Y. Li, X. Hou, C. Koch, J. M. Rehg, and A. L. Yuille. “The Secrets of Salient Object Segmentation .” In Proc of CVPR 2014, Columbus, OH.

[ PDF ] : [ Project Webpage ]

F. Li, T. Kim, A. Humayun, D. Tsai, and J. M. Rehg. “Video Segmentation by Tracking Many Figure-Ground Segments.” In Proc of ICCV 2013, Sydney, Australia.

[ PDF ] : [ Project Webpage ] : [ SegTrack v2 Dataset ]

Y. Li, A. Fathi, and J. M. Rehg. “Learning to Predict Gaze in Egocentric Video.” In Proc of ICCV 2013, Sydney, Australia. Oral Presentation.

[ PDF ]

J. Xu (U Wisc), V. Ithapu (U Wisc), L. Mukherjee (U Wisc Whitewater), J. M. Rehg, and V. Singh (U Wisc). “GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity.” In Proc of ICCV 2013, Sydney, Australia.

[ PDF ] : [ Project Webpage ]

T. Hermans, F. Li, J. M. Rehg, and A. F. Bobick. “Learning Contact Locations for Pushing and Orienting Unknown Objects.” In Proc of IEEE-RAS International Conference on Humanoid Robotics (Humanoids) 2013, Atlanta, GA.
[ PDF ]

T. Bhattacharjee, A. Kapusta, J. M. Rehg, and C. Kemp. “Rapid Categorization of Object Properties from Incidental Contact with a Tactile Sensing Robot Arm.” In Proc of IEEE-RAS International Conference on Humanoid Robotics (Humanoids) 2013, Atlanta, GA.

A. Ciptadi, T. Hermans, and J. M. Rehg. “An In Depth View of Saliency.” In Proc of British Machine Vision Conference (BMVC) 2013, Bristol, United Kingdom.
[ PDF ] : [ Project Webpage ]

J. Wu, N. Liu, C. Geyer, and J. M. Rehg. “C4: A Real-time Object Detection Framework.” In IEEE Transactions on Image Processing, 2013.
[ PDF ]

T. Hermans, F. Li, J. M. Rehg, and A. F. Bobick. “Learning Stable Pushing Locations.” In Proc of IEEE International Conference on Developmental Learning and Epigenetic Robotics (ICDL-EPIROB) 2013, Osaka, Japan.
[ PDF ]

J. M. Rehg, G. D. Abowd, A. Rozga, M. Romero, M. A. Clements, S. Sclaroff, I. Essa, O. Y. Ousley, Y. Li, C. Kim, H. Rao, J. C. Kim, L. L. Presti, J. Zhang, D. Lantsman, J. Bidwell, and Z. Ye. “Decoding Children’s Social Behavior.” In Proc of CVPR 2013, Portland, OR.
[ PDF ]

A. Fathi, and J. M. Rehg. “Modeling Actions through State Changes.” In Proc of CVPR 2013, Portland, OR.
This work was partially funded by the Intel Science and Technology Center for Pervasive Computing.
[ PDF ]

T. Hermans, J. M. Rehg, and A. Bobick. “Decoupling Behavior, Perception, and Control for Autonomous Learning of Affordances.” In Proc of ICRA 2013, Vilamoura, Portugal.
[ PDF ] : [ Video ]

M. M. Crane, J. N. Stirman, C.-Y. Ou, P. T. Kurshan, J. M. Rehg, K. Shen, and H. Lu. “Autonomous screening of C. elegans identifies genes implicated in synaptogenesis.” In Nature Methods, 2012. DOI: 10.1038/NMETH.2141.
[ Nature Methods Link ] : [ Method to Watch for 2012 ]

K. Prabhakar, and J. M. Rehg. “Categorizing Turn-Taking Interactions.” In Proc of ECCV 2012, Florence, Italy.
[ PDF ]

A. Fathi, Y. Li, and J. M. Rehg. “Learning to Recognize Daily Actions using Gaze.” In Proc of ECCV 2012, Florence, Italy.
[ PDF ] : [ Project Webpage ]

T. Bhattacharjee, J. M. Rehg, and C. C. Kemp. “Haptic Classification and Recognition of Objects Using a Tactile Sensing Forearm.” In Proc of IROS 2012, Vilamoura, Portugal.
[ PDF ]

T. Hermans, J. M. Rehg, and A. Bobick. “Guided Pushing for Object Singulation.” In Proc of IROS 2012, Vilamoura, Portugal.
[ PDF ]

Y.-Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. S. Schuman, and J. M. Rehg. “Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction.” In Proc of MICCAI 2012, Nice, France.
[ PDF ] : [ Project Webpage ]

A. Fathi, J. K. Hodgins, and J. M. Rehg. “Social Interactions: A First-Person Perspective.” In Proc of CVPR 2012, Providence, RI.
[ PDF ] : [ Project Webpage ]

L. Wang, Y. Li, J. Jia, J. Sun, D. P. Wipf, and J. M. Rehg. “Learning Sparse Covariance Patterns for Natural Scenes.” In Proc of CVPR 2012, Providence, RI.
[ PDF ]

A. Matic, P. Mehta, J. M. Rehg, V. Osmani, and O. Mayora. “Monitoring Dressing Activity Failures through RFID and Video.” In Methods of Information in Medicine, Issue 1, 2012 (Vol. 51).
[ PDF ]

D. Tsai, M. Flagg, A. Nakazawa, and J. M. Rehg. “Motion Coherent Tracking Using Multi-label MRF Optimization.” In International Journal of Computer Vision, 2012.
[ Springer Link ]

J. Wu, W.-C. Tan, and J. M. Rehg. “Efficient and Effective Visual Codebook Generation Using Additive Kernels.” In Journal of Machine Learning Research, Nov. 2011 (Vol. 12).
[ JMLR Link ]

D. Tsai, Y. Jing, Y. Liu, H. A. Rowley, S. Ioffe, and J. M. Rehg. “Large-Scale Image Annotation using Visual Synset.” In Proc of ICCV 2011, Barcelona, Spain.
[ PDF ] : [ Project Webpage ]

A. Fathi, A. Farhadi, and J. M. Rehg. “Understanding Egocentric Activities.” In Proc of ICCV 2011, Barcelona, Spain.
This work was partially funded by the Intel Science and Technology Center for Pervasive Computing.
[ PDF ]

Y.-Y. Liu, H. Ishikawa, M. Chen, G. Wollstein, J. S. Duker, J. G. Fujimoto, J. S. Schuman, and J. M. Rehg. “Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multiscale Texture and Shape Features.” In Investigative Ophthalmology and Visual Science, Oct. Number 11, 2011 (Vol. 52).
[ IOVS Link ]

Y.-Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. S. Schuman, and J. M. Rehg. “Automated Macular Pathology Diagnosis in Retinal OCT Images using Multi-scale Spatial Pyramid and Local Binary Patterns in Texture and Shape Encoding.” In Medical Image Analysis, Oct. Issue 5, 2011 (Vol. 15).
[ PDF ]

A. Fathi, M. F. Balcan, X. Ren, and J. M. Rehg. “Combining Self Training and Active Learning for Video Segmentation.” In Proc. of BMVC 2011, Dundee, United Kingdom
This work was partially funded by the Intel Science and Technology Center for Pervasive Computing.
[ BMVC Proceedings ]

J. Wu and J. M. Rehg. “CENTRIST: A Visual Descriptor for Scene Categorization.” In IEEE Trans. PAMI, Issue 8, 2011 (Vol. 33).
[ PDF ] : [ Project Webpage ]

A. Fathi, X. Ren, and J. M. Rehg. “Learning to Recognize Objects in Egocentric Activities.” In Proc. of CVPR 2011, Colorado Springs, CO.
This work was partially funded by the Intel Science and Technology Center for Pervasive Computing.
[ PDF ] : [ Project Webpage ]

J. Wu, C. Geyer, and J. M. Rehg. “Real-Time Human Detection Using Contour Cues.” In Proc. of ICRA 2011, Shanghai, China.
[ PDF ] : [ Project Webpage ]