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18 papers · 2 filters
MDLatLRR: A novel decomposition method for infrared and visible image fusion
Hui Li, Xiao-Jun Wu, Josef Kittler
Image decomposition is crucial for many image processing tasks, as it allows to extract salient features from source images. A good image decomposition method could lead to a bette…
Deformable Object Tracking with Gated Fusion
Wenxi Liu, Yibing Song, Dengsheng Chen +5
The tracking-by-detection framework receives growing attentions through the integration with the Convolutional Neural Networks (CNNs). Existing tracking-by-detection based methods,…
Landmark Weighting for 3DMM Shape Fitting
Yu Yanga, Xiao-Jun Wu, Josef Kittler
Human face is a 3D object with shape and surface texture. 3D Morphable Model (3DMM) is a powerful tool for reconstructing the 3D face from a single 2D face image. In the shape fitt…
Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Tracking
Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu +1
With efficient appearance learning models, Discriminative Correlation Filter (DCF) has been proven to be very successful in recent video object tracking benchmarks and competitions…
Semi-supervised Hashing for Semi-Paired Cross-View Retrieval
Jun Yu, Xiao-Jun Wu, Josef Kittler
Recently, hashing techniques have gained importance in large-scale retrieval tasks because of their retrieval speed. Most of the existing cross-view frameworks assume that data are…
Component SPD Matrices: A lower-dimensional discriminative data descriptor for image set classification
Kai-Xuan Chen, Xiao-Jun Wu
In the domain of pattern recognition, using the SPD (Symmetric Positive Definite) matrices to represent data and taking the metrics of resulting Riemannian manifold into account ha…