Larry Davis

Distinguished University Professor Emeritus
2252 Iribe Center
(301) 405-6718
Research Group(s): 
Education: 
Ph.D., University of Maryland
Special Awards/Honors: 
IAPR Fellow, IEEE Fellow, ACM Fellow
Biography: 

Larry Davis is a Distinguished University Professor Emeritus of computer science in the University of Maryland Institute for Advanced Computer Studies.

His research spans object and action recognition, scene analysis, and human movement modeling. Davis aims to advance techniques in 3-D motion capture, tracking and camera networks for improved visual data interpretation.

Go here to view Davis's academic publications on Google Scholar.

Publications

2012


Zhuolin Jiang, Zhang G, Davis LS.  2012.  Submodular Dictionary Learning for Sparse Coding. IEEE conference on Computer Vision and Pattern Recognition.

Zhuolin Jiang, Lin Z, Davis LS.  2012.  Class consistent k-means: Application to face and action recognition. Computer Vision and Image Understanding. 116(6):730-741.

Han B, Davis LS.  2012.  Density-Based Multifeature Background Subtraction with Support Vector Machine. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 34(5):1017-1023.

Zhuolin Jiang, Lin Z, Davis LS.  2012.  Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 34(3):533-547.

Schwartz WR, Guo H, Choi J, Davis LS.  2012.  Face Identification Using Large Feature Sets. Image Processing, IEEE Transactions on. 21(4):2245-2255.

2011


Lim S-N, Mittal A, Davis LS.  2011.  Smart task-driven video collection. 11/649,393(7961215)

Siddiquie B, Feris RS, Davis LS.  2011.  Image ranking and retrieval based on multi-attribute queries. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on.
:801-808.

Tom Yeh, White B, San Pedro J, Katz B, Davis LS.  2011.  A case for query by image and text content: searching computer help using screenshots and keywords. Proceedings of the 20th international conference on World wide web.
:775-784.

Oh S, Hoogs A, Perera A, Cuntoor N, Chen C-C, Lee J T, Mukherjee S, Aggarwal JK, Lee H, Davis LS et al..  2011.  A large-scale benchmark dataset for event recognition in surveillance video. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on.
:3153-3160.

Morariu VI, Davis LS.  2011.  Multi-agent event recognition in structured scenarios. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on.
:3289-3296.

Kembhavi A, Harwood D, Davis LS.  2011.  Vehicle Detection Using Partial Least Squares. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 33(6):1250-1265.

Dondera R, Davis LS.  2011.  Kernel PLS regression for robust monocular pose estimation. Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on.
:24-30.

Chen X, Jain A, Gupta A, Davis LS.  2011.  Piecing together the segmentation jigsaw using context. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on.
:2001-2008.

Tom Yeh, White B, San Pedro J, Katz B, Davis LS.  2011.  A case for query by image and text content: searching computer help using screenshots and keywords. Proceedings of the 20th international conference on World wide web.
:775-784.

Tom Yeh, Chang T-H, Xie B, Walsh G, Watkins I, Wongsuphasawat K, Huang M, Davis LS, Bederson BB.  2011.  Creating contextual help for GUIs using screenshots. Proceedings of the 24th annual ACM symposium on User interface software and technology.
:145-154.

Zhuolin Jiang, Lin Z, Davis LS.  2011.  Learning a discriminative dictionary for sparse coding via label consistent K-SVD. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on.
:1697-1704.

Schwartz W, Davis LS, Pedrini H.  2011.  Local Response Context Applied to Pedestrian Detection. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications.
:181-188.

Kim K, Davis LS.  2011.  Object Detection and Tracking for Intelligent Video Surveillance. Multimedia Analysis, Processing and Communications.
:265-288.

Farrell R, Oza O, Zhang N, Morariu VI, Darrell T, Davis LS.  2011.  Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance. Computer Vision (ICCV), 2011 IEEE International Conference on.
:161-168.

Guo H, Robson Schwartz W, Davis LS.  2011.  Face verification using large feature sets and one shot similarity. Biometrics (IJCB), 2011 International Joint Conference on.
:1-8.

Oh S, Hoogs A, Perera A, Cuntoor N, Chen C-C, Lee J T, Mukherjee S, Aggarwal JK, Lee H, Davis LS et al..  2011.  AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on.
:527-528.

Schwartz WR, da Silva RD, Davis LS, Pedrini H.  2011.  A novel feature descriptor based on the shearlet transform. Image Processing (ICIP), 2011 18th IEEE International Conference on.
:1033-1036.

Ramadan S, Davis LS.  2011.  Action recognition using Partial Least Squares and Support Vector Machines. Image Processing (ICIP), 2011 18th IEEE International Conference on.
:533-536.

2010


Jain A, Gupta A, Davis LS.  2010.  Learning what and how of contextual models for scene labeling. Computer Vision–ECCV 2010.
:199-212.

Han B, Joo SW, Davis LS.  2010.  Multi-Camera Tracking with Adaptive Resource Allocation. International Journal of Computer Vision.
:1-14.

Srinivasan B V, Schwartz W R, Duraiswami R, Davis LS.  2010.  Partial least squares on graphical processor for efficient pattern recognition. Technical Reports of the Computer Science Department.

White B, Tom Yeh, Jimmy Lin, Davis LS.  2010.  Web-scale computer vision using MapReduce for multimedia data mining. Proceedings of the Tenth International Workshop on Multimedia Data Mining.
:9:1–9:10-9:1–9:10.

Schwartz W, Guo H, Davis LS.  2010.  A robust and scalable approach to face identification. Computer Vision–ECCV 2010.
:476-489.

Lin Z, Davis LS.  2010.  Shape analysis and its applications in image understanding. IEEE transactions on pattern analysis and machine intelligence. 32(4):604-618.

Lin Z, Davis LS.  2010.  Shape-based human detection and segmentation via hierarchical part-template matching. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 32(4):604-618.

2009


El-Alfy H, Jacobs DW, Davis LS.  2009.  Assigning cameras to subjects in video surveillance systems. Robotics and Automation, 2009. ICRA '09. IEEE International Conference on.
:837-843.

Han B, Davis LS.  2009.  Probabilistic fusion-based parameter estimation for visual tracking. Computer Vision and Image Understanding. 113(4):435-445.

Siddiquie B, Vitaladevuni SN, Davis LS.  2009.  Combining multiple kernels for efficient image classification. Applications of Computer Vision (WACV), 2009 Workshop on.
:1-8.

Yacoob Y, Davis LS.  2009.  Segmentation using appearance of mesostructure roughness. International journal of computer vision. 83(3):248-273.

Dondera R, Doermann D, Davis LS.  2009.  Action recognition based on human movement characteristics. Motion and Video Computing, 2009. WMVC '09. Workshop on.
:1-8.

Schwartz W, Pedrini H, Davis LS.  2009.  Video Compression and Retrieval of Moving Object Location Applied to Surveillance. Image Analysis and Recognition.
:906-916.

Refaey MA, Elsayed KM, Hanafy SM, Davis LS.  2009.  Concurrent transition and shot detection in football videos using Fuzzy Logic. Image Processing (ICIP), 2009 16th IEEE International Conference on.
:4341-4344.

Lin Z, Hua G, Davis LS.  2009.  Multiple instance Feature for robust part-based object detection. Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on.
:405-412.

Hussein M, Porikli F, Davis LS.  2009.  Object detection via boosted deformable features. Image Processing (ICIP), 2009 16th IEEE International Conference on.
:1445-1448.

Kembhavi A, Siddiquie B, Miezianko R, McCloskey S, Davis LS, Schwartz WR, Harwood D, Gupta A, Farrell R, Luo Y et al..  2009.  Scene it or not? incremental multiple kernel learning for object detection Proceedings of the International Conference on Computer Vision.

Schwartz W R, Kembhavi A, Harwood D, Davis LS.  2009.  Human detection using partial least squares analysis. Computer Vision, 2009 IEEE 12th International Conference on.
:24-31.

Hussein M, Porikli F, Davis LS.  2009.  PERCEPTION AND NAVIGATION FOR AUTONOMOUS VEHICLES. IEEE Transactions on intelligent transportation systems. 10(3):417-427.

Schwartz WR, Gopalan R, Chellappa R, Davis LS.  2009.  Robust human detection under occlusion by integrating face and person detectors. Proceedings of the Third International Conference on Advances in Biometrics.
:970-979.

Lin Z, Zhuolin Jiang, Davis LS.  2009.  Recognizing actions by shape-motion prototype trees. Computer Vision, 2009 IEEE 12th International Conference on.
:444-451.

Gupta A, Kembhavi A, Davis LS.  2009.  Probabilistic graphical models. IEEE transactions on pattern analysis and machine intelligence. 31(10):1775-1789.

Kembhavi A, Siddiquie B, Miezianko R, McCloskey S, Davis LS.  2009.  Incremental Multiple Kernel Learning for object recognition. Computer Vision, 2009 IEEE 12th International Conference on.
:638-645.

Schwartz WR, Davis LS.  2009.  Learning Discriminative Appearance-Based Models Using Partial Least Squares. Computer Graphics and Image Processing (SIBGRAPI), 2009 XXII Brazilian Symposium on.
:322-329.

Gupta A, Kembhavi A, Davis LS.  2009.  Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 31(10):1775-1789.

Hussein M, Porikli F, Davis LS.  2009.  A Comprehensive Evaluation Framework and a Comparative Study for Human Detectors. Intelligent Transportation Systems, IEEE Transactions on. 10(3):417-427.

BRETEY STEVE, Kuhnly K, Davis LS.  2009.  Visual Tag. 12/533,231

Gupta A, Srinivasan P, Shi J, Davis LS.  2009.  Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos. Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on.
:2012-2019.

Han B, Zhu Y, Comaniciu D, Davis LS.  2009.  Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 31(5):919-930.

2008


Abd-Almageed W, Davis LS.  2008.  Human detection using iterative feature selection and logistic principal component analysis. Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on.
:1691-1697.

Gupta A, Mittal A, Davis LS.  2008.  Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 30(3):493-506.

Kembhavi A, Farrell R, Luo Y, Jacobs DW, Duraiswami R, Davis LS.  2008.  Tracking Down Under: Following the Satin Bowerbird. Applications of Computer Vision, 2008. WACV 2008. IEEE Workshop on.
:1-7.

Tran S, Lin Z, Harwood D, Davis LS.  2008.  UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking. Multimodal Technologies for Perception of Humans.
:179-190.

Morariu V, Srinivasan BV, Raykar VC, Duraiswami R, Davis LS.  2008.  Automatic online tuning for fast Gaussian summation. Advances in Neural Information Processing Systems.

Roy SD, Tran SD, Davis LS, Vikram BS.  2008.  Multi-resolution Tracking in Space and Time. Computer Vision, Graphics Image Processing, 2008. ICVGIP '08. Sixth Indian Conference on.
:352-358.

Kembhavi A, Schwartz WR, Davis LS, others.  2008.  Resource allocation for tracking multiple targets using particle filters. The Eighth International Workshop on Visual Surveillance.

Refaey MA, Abd-Almageed W, Davis LS.  2008.  A Logic Framework for Sports Video Summarization Using Text-Based Semantic Annotation. Semantic Media Adaptation and Personalization, 2008. SMAP '08. Third International Workshop on.
:69-75.

Farrell R, Davis LS.  2008.  Decentralized discovery of camera network topology. Distributed Smart Cameras, 2008. ICDSC 2008. Second ACM/IEEE International Conference on.
:1-10.

Pages