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Results 1511-1520 of 1687 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2013A scalable unsupervised feature merging approach to efficient dimensionality reduction of high-dimensional visual dataLiu, L.; Wang, L.; IEEE International Conference on Computer Vision (14th : 2013 : Sydney, Australia)
2012What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detectionLiu, L.; Wang, L.; IEEE Conference on Computer Vision and Pattern Recognition (25th : 2012 : Providence, Rhode Island)
2011In defense of soft-assignment codingLiu, L.; Wang, L.; Liu, X.; IEEE International Conference on Computer Vision (2011 : Barcelona, Spain)
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)
2013Extended depth-of-field via focus stacking and graph cutsZhang, C.; Bastian, J.; Shen, C.; Van Den Hengel, A.; Shen, T.; Conference on Image Processing (2013 : Melbourne)
2013Detection- and trajectory-level exclusion in multiple object trackingMilan, A.; Schindler, K.; Roth, S.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)
2013Approximate constraint generation for efficient structured boostingLin, G.; Shen, C.; Van Den Hengel, A.; International Conference on Image Processing (20th : 2013 : Melbourne, Australia)
2013Challenges of ground truth evaluation of multi-target trackingMilan, A.; Schindler, K.; Roth, S.; IEEE Conference on Computer Vision and Pattern Recognition Workshops (2013 : Portland, Oregon)
2013Part-based visual tracking with online latent structural learningYao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)
2013Bilinear programming for human activity recognition with unknown MRF graphsWang, Z.; Shi, Q.; Shen, C.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)