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Results 51-60 of 65 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2015Hashing on nonlinear manifoldsShen, F.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Tang, Z.; Shen, H.
2008Discriminative human action segmentation and recognition using semi-Markov modelShi, Q.; Wang, L.; Cheng, L.; Smola, A.; Conference on Computer Vision and Pattern Recognition (2008 : Anchorage, Alaska)
2012Non-sparse linear representations for visual tracking with online reservoir metric learningLi, X.; Shen, C.; Shi, Q.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (25th : 2012 : Providence, Rhode Island)
2012Robust tracking with weighted online structured learningYao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.; Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmidt, C.; European Conference on Computer Vision (12th : 2012 : Florence, Italy)
2009Discriminative maximum margin image object categorization with exact inferenceShi, Q.; Zhou, L.; Cheng, L.; Schuurmans, D.; Zhang, Y.J.; International Conference on Image and Graphics (5th : 2009 : Xi'an, China)
2010Rapid face recognition using hashingShi, Q.; Li, H.; Shen, C.; IEEE Conference on Computer Vision and Pattern Recognition (23rd : 2010 : San Francisco, CA)
2018Efficient dense labelling of human activity sequences from wearables using fully convolutional networksYao, R.; Lin, G.; Shi, Q.; Ranasinghe, D.C.
2011Real-time visual tracking using compressive sensingLi, H.; Shen, C.; Shi, Q.; IEEE Conference on Computer Vision and Pattern Recognition (24th : 2011 : Colorado Springs, CO, U.S.A.)
2011Is face recognition really a compressive sensing problem?Shi, Q.; Eriksson, A.; Van Den Hengel, A.; Shen, C.; Conference on Computer Vision and Pattern Recognition (2011 : Rhode Island, USA)
2013Sensor enabled wearable RFID technology for mitigating the risk of falls near bedsShinmoto Torres, R.; Ranasinghe, D.; Shi, Q.; Sample, A.; IEEE International Conference on RFID (2013 : Penang, Malaysia)