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Article
Topology-preserved human reconstruction with details
Due to the high diversity and complexity of body shapes, it is challenging to directly estimate the human geometry from a single image with the various clothing styles. Most of the model-based approaches are l...
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Chapter and Conference Paper
Box-Supervised Instance Segmentation with Level Set Evolution
In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box annotations, which has recently attracted a lot of research atte...
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Article
Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining
With the rapid development of deep learning techniques, semantic image segmentation has been considerably improved recently, which is viewed as the key problem of scene understanding in computer vision. These ...
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Article
Realtime and robust object matching with a large number of templates
Most of conventional object matching methods are based on comparing local features, which are too computational demanding. Recently, Dominant Orientation Templates (DOT) were proposed to solve the efficiency i...
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Chapter and Conference Paper
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results
The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned mo...
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Chapter and Conference Paper
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 are presented, with a l...
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Chapter and Conference Paper
The Visual Object Tracking VOT2014 Challenge Results
The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 38 trackers are presented. T...
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Chapter and Conference Paper
A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration
Although the correlation filter-based trackers achieve the competitive results both on accuracy and robustness, there is still a need to improve the overall tracking capability. In this paper, we presented a v...
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Chapter and Conference Paper
A Convolutional Treelets Binary Feature Approach to Fast Keypoint Recognition
Fast keypoint recognition is essential to many vision tasks. In contrast to the classification-based approaches [1,2], we directly formulate the keypoint recognition as an image patch retrieval problem, which ...
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Chapter and Conference Paper
Kernel Maximum a Posteriori Classification with Error Bound Analysis
Kernel methods have been widely used in data classification. Many kernel-based classifiers like Kernel Support Vector Machines (KSVM) assume that data can be separated by a hyperplane in the feature space. The...
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Chapter and Conference Paper
An Effective Approach to 3D Deformable Surface Tracking
The key challenge with 3D deformable surface tracking arises from the difficulty in estimating a large number of 3D shape parameters from noisy observations. A recent state-of-the-art approach attacks this pro...
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Chapter and Conference Paper
Face Retrieval with Relevance Feedback Using Lifting Wavelets Features
By using support vector machine (SVM), this paper presents a novel face retrieval scheme in face database based on lifting wavelets features. The relevance feedback mechanism is also performed. The scheme can ...
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Chapter and Conference Paper
Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality
One main challenge in Augmented Reality (AR) applications is to keep track of video objects with their movement, orientation, size, and position accurately. This poses a challenging task to recover non-rigid s...
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Chapter and Conference Paper
CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval
In this paper, we describe our studies of cross-language and cross-media image retrieval at the ImageCLEF 2005. This is the first participation of our CUHK (The Chinese University of Hong Kong) group at ImageC...
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Chapter and Conference Paper
A New Enhanced Nearest Feature Space (ENFS) Classifier for Gabor Wavelets Features-Based Face Recognition
This paper proposes a new Enhanced Nearest Feature Space Classifier (ENFS) which inherits the generalization capability from Nearest Feature Space method. Additionally, estimated variance can optimize the clas...
