1.1k citations · 4k across the 76 of their papers we have counts for
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Leishmaniasis Parasite Segmentation and Classification using Deep Learning
Marc Górriz, Albert Aparicio, Berta Raventós +3
Leishmaniasis is considered a neglected disease that causes thousands of deaths annually in some tropical and subtropical countries. There are various techniques to diagnose leishm…
Discriminative Supervised Hashing for Cross-Modal similarity Search
Jun Yu, Xiao-Jun Wu, Josef Kittler
With the advantage of low storage cost and high retrieval efficiency, hashing techniques have recently been an emerging topic in cross-modal similarity search. As multiple modal da…
Pose Invariant 3D Face Reconstruction
Lei Jiang, XiaoJun Wu, Josef Kittler
3D face reconstruction is an important task in the field of computer vision. Although 3D face reconstruction has being developing rapidly in recent years, it is still a challenge f…
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…
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 Discriminative Hashing Codes for Cross-Modal Retrieval based on Multi-view Features
Jun Yu, Xiao-Jun Wu, Josef Kittler
Hashing techniques have been applied broadly in retrieval tasks due to their low storage requirements and high speed of processing. Many hashing methods based on a single view have…
Client-Specific Anomaly Detection for Face Presentation Attack Detection
Shervin Rahimzadeh Arashloo, Josef Kittler
The one-class anomaly detection approach has previously been found to be effective in face presentation attack detection, especially in an \textit{unseen} attack scenario, where th…
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…
One-Class Kernel Spectral Regression
Shervin Rahimzadeh Arashloo, Josef Kittler
The paper introduces a new efficient nonlinear one-class classifier formulated as the Rayleigh quotient criterion optimisation. The method, operating in a reproducing kernel Hilber…
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…
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification
Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen +1
In image set classification, a considerable progress has been made by representing original image sets on Grassmann manifolds. In order to extend the advantages of the Euclidean ba…
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification
Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang +1
In the domain of pattern recognition, using the CovDs (Covariance Descriptors) to represent data and taking the metrics of the resulting Riemannian manifold into account have been…
Multiple Manifolds Metric Learning with Application to Image Set Classification
Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen +1
In image set classification, a considerable advance has been made by modeling the original image sets by second order statistics or linear subspace, which typically lie on the Riem…
L1-(2D)2PCANet: A Deep Learning Network for Face Recognition
YunKun Li, XiaoJun Wu, Josef Kittler
In this paper, we propose a novel deep learning network L1-(2D)2PCANet for face recognition, which is based on L1-norm-based two-directional two-dimensional principal component ana…
A Simple Riemannian Manifold Network for Image Set Classification
Rui Wang, Xiao-Jun Wu, Josef Kittler
In the domain of image-set based classification, a considerable advance has been made by representing original image sets as covariance matrices which typical lie in a Riemannian m…
Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild
Zhen-Hua Feng, Patrik Huber, Josef Kittler +5
This paper investigates the evaluation of dense 3D face reconstruction from a single 2D image in the wild. To this end, we organise a competition that provides a new benchmark data…
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Baris Gecer, Binod Bhattarai, Josef Kittler +1
We propose a novel end-to-end semi-supervised adversarial framework to generate photorealistic face images of new identities with wide ranges of expressions, poses, and illuminatio…
Infrared and Visible Image Fusion using a Deep Learning Framework
Hui Li, Xiao-Jun Wu, Josef Kittler
In recent years, deep learning has become a very active research tool which is used in many image processing fields. In this paper, we propose an effective image fusion method usin…