Fayao Liu

Publications
Influence

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

Fayao Liu, Chunhua Shen, Guosheng Lin, I. Reid
Computer Science, Medicine
IEEE Transactions on Pattern Analysis and Machine…
25 February 2015

We present a deep convolutional neural field model for estimating depths from single monocular images, aiming to jointly explore the capacity of deep CNN and continuous CRF. Expand

Deep convolutional neural fields for depth estimation from a single image

Fayao Liu, Chunhua Shen, Guosheng Lin
Computer Science
IEEE Conference on Computer Vision and Pattern…
24 November 2014

We consider the problem of depth estimation from a single monocular image in this work. Expand

CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning

Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen
Computer Science
IEEE/CVF Conference on Computer Vision and…
6 March 2019

We present CANet, a class-agnostic segmentation network that performs few-shot segmentation on new classes with only a few annotated images available. Expand

Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation

Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao
Computer Science
IEEE/CVF International Conference on Computer…
1 October 2019

In this paper, we propose to model structured segmentation data with graphs and apply attentive graph reasoning to propagate label information from support data to query data. Expand

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

Fayao Liu, L. Zhou, Chunhua Shen, Jianping Yin
Computer Science, Mathematics
IEEE Journal of Biomedical and Health Informatics
2 October 2013

We propose a novel multiple kernel-learning framework to combine multimodal features for AD classification, which is scalable and easy to implement. Expand

CRF Learning with CNN Features for Image Segmentation

Fayao Liu, Guosheng Lin, Chunhua Shen
Computer Science
Pattern Recognit.
27 March 2015

A deep CNN is trained on the ImageNet dataset and transferred to image segmentations here for constructing potentials of superpixels. Expand

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

Michael Milford, Stephanie M. Lowry, +8 authors I. Reid
Engineering, Computer Science
IEEE Conference on Computer Vision and Pattern…
7 June 2015

In this paper we significantly improve the viewpoint invariance of the SeqSLAM algorithm by using state-of-the-art deep learning techniques to generate synthetic viewpoints. Expand

RefineNet: Multi-Path Refinement Networks for Dense Prediction

Guosheng Lin, Fayao Liu, A. Milan, Chunhua Shen, I. Reid
Computer Science, Medicine
IEEE Transactions on Pattern Analysis and Machine…
1 May 2020

We present RefineNet, a generic multi-path refinement network that explicitly exploits all the information available along the down-sampling process to enable high-resolution prediction using long-range residual connections. Expand

CRNet: Cross-Reference Networks for Few-Shot Segmentation

W. Liu, Chi Zhang, Guosheng Lin, Fayao Liu
Computer Science
IEEE/CVF Conference on Computer Vision and…
24 March 2020

In this paper, we propose a cross-reference network (CRNet) for few-shot segmentation. Expand

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

Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, H. Shen
Mathematics, Computer Science
International Journal of Computer Vision
22 February 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. Expand

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