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Deep convolutional neural fields for depth estimation from a single image

• Fayao Liu, Chunhua Shen, Guosheng Lin
• 2015 IEEE Conference on Computer Vision and…
• 2015

We consider the problem of depth estimation from a single monocular image in this work. It is a challenging task as no reliable depth cues are available, e.g., stereo correspondences, motions etc.… (More)

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

• Fayao Liu, Chunhua Shen, Guosheng Lin, Ian D. Reid
• IEEE Transactions on Pattern Analysis and Machine…
• 2016

In this article, we tackle the problem of depth estimation from single monocular images. Compared with depth estimation using multiple images such as stereo depth perception, depth from monocular… (More)

Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition

• Michael Milford, Stephanie M. Lowry, +8 authors Ian D. Reid
• 2015 IEEE Conference on Computer Vision and…
• 2015

Vision-based localization on robots and vehicles remains unsolved when extreme appearance change and viewpoint change are present simultaneously. The current state of the art approaches to this… (More)

Multiple Kernel Learning in the Primal for Multimodal Alzheimer’s Disease Classification

• Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin
• IEEE Journal of Biomedical and Health Informatics
• 2014

To achieve effective and efficient detection of Alzheimer's disease (AD), many machine learning methods have been introduced into this realm. However, the general case of limited training samples, as… (More)

CRF learning with CNN features for image segmentation

• Fayao Liu, Guosheng Lin, Chunhua Shen
• Pattern Recognition
• 2015

Conditional Random Rields (CRF) have been widely applied in image segmentations. While most studies rely on handcrafted features, we here propose to exploit a pre-trained large convolutional neural… (More)

Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures

• Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen
• International Journal of Computer Vision
• 2016

Hashing methods aim to learn a set of hash functions which map the original features to compact binary codes with similarity preserving in the Hamming space. Hashing has proven a valuable tool for… (More)

Learning Deep Convolutional Features for MRI Based Alzheimer's Disease Classification

• Fayao Liu, Chunhua Shen
• ArXiv
• 2014

Effective and accurate diagnosis of Alzheimer's disease (AD) or mild cognitive impairment (MCI) can be critical for early treatment and thus has attracted more and more attention nowadays. Since… (More)

PSAEC: an improved algorithm for short read error correction using partial suffix arrays

• Zhiheng Zhao, Jianping Yin, Yubin Zhan, Wei Xiong, Yong Li, Fayao Liu
• FAW-AAIM
• 2011

Discriminative Training of Deep Fully Connected Continuous CRFs With Task-Specific Loss

• Fayao Liu, Guosheng Lin, Chunhua Shen
• IEEE Transactions on Image Processing
• 2017

Recent works on deep conditional random fields (CRFs) have set new records on many vision tasks involving structured predictions. Here, we propose a fully connected deep continuous CRF model with… (More)

Online Unsupervised Feature Learning for Visual Tracking

• Fayao Liu, Chunhua Shen, Ian D. Reid, Anton van den Hengel
• Image Vision Comput.
• 2016

Feature encoding with respect to an over-complete dictionary learned by unsupervised methods, followed by spatial pyramid pooling, and linear classification, has exhibited powerful strength in… (More)

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