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The Visual Object Tracking VOT2016 Challenge Results
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers areExpand
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The Visual Object Tracking VOT2017 Challenge Results
The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-artExpand
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Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
Techniques for information hiding have become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become considerably moreExpand
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Region Duplication Detection Using Image Feature Matching
  • Xunyu Pan, Siwei Lyu
  • Computer Science
  • IEEE Transactions on Information Forensics and…
  • 1 December 2010
Region duplication is a simple and effective operation to create digital image forgeries, where a continuous portion of pixels in an image, after possible geometrical and illumination adjustments,Expand
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Steganalysis using higher-order image statistics
  • Siwei Lyu, H. Farid
  • Computer Science
  • IEEE Transactions on Information Forensics and…
  • 1 November 2006
Techniques for information hiding (steganography) are becoming increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages is alsoExpand
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How realistic is photorealistic
Computer graphics rendering software is capable of generating highly photorealistic images that can be impossible to differentiate from photographic images. As a result, the unique stature ofExpand
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UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking
In recent years, numerous effective multi-object tracking (MOT) methods are developed because of the wide range of applications. Existing performance evaluations of MOT methods usually separate theExpand
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Higher-order Wavelet Statistics and their Application to Digital Forensics
  • H. Farid, Siwei Lyu
  • Computer Science
  • Conference on Computer Vision and Pattern…
  • 16 June 2003
We describe a statistical model for natural images that is built upon a multi-scale wavelet decomposition. The model consists of first- and higher-order statistics that capture certain statisticalExpand
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Mercer kernels for object recognition with local features
  • Siwei Lyu
  • Computer Science
  • IEEE Computer Society Conference on Computer…
  • 20 June 2005
A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate multiple types ofExpand
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Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos
We describe a novel method that simultaneously clusters and associates short sequences of detected faces (termed as face track lets) in videos. The rationale of our method is that face track letExpand
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