Fayao Liu

According to our database, Fayao Liu authored at least 58 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On Representation Knowledge Distillation for Graph Neural Networks.

Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan Sheng Foo

IEEE Trans. Neural Networks Learn. Syst., April, 2024

LCReg: Long-tailed image classification with Latent Categories based Recognition.

Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

Pattern Recognit., January, 2024

Neural Logic Vision Language Explainer.

Xiaofeng Yang, Fayao Liu, Guosheng Lin

IEEE Trans. Multim., 2024

Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior.

Cheng Chen, Xiaofeng Yang, Fan Yang, Chengzeng Feng, Zhoujie Fu, Chuan-Sheng Foo, Guosheng Lin, Fayao Liu

CoRR, 2024

Rethinking Few-shot 3D Point Cloud Semantic Segmentation.

Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie

CoRR, 2024

PromptAD: Zero-shot Anomaly Detection using Text Prompts.

Yiting Li, Adam David Goodge, Fayao Liu, Chuan-Sheng Foo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration.

Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction.

Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Temporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences.

Hanyu Shi, Ruibo Li, Fayao Liu, Guosheng Lin

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Integrating topology beyond descriptions for zero-shot learning.

Ziyi Chen, Yutong Gao, Congyan Lang, Lili Wei, Yidong Li, Hongzhe Liu, Fayao Liu

Pattern Recognit., November, 2023

Self-Training Vision Language BERTs With a Unified Conditional Model.

Xiaofeng Yang, Fengmao Lv, Fayao Liu, Guosheng Lin

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Unsupervised 3D Pose Transfer With Cross Consistency and Dual Reconstruction.

Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Depth and Video Segmentation Based Visual Attention for Embodied Question Answering.

Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, Zhenmin Tang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Effective End-to-End Vision Language Pretraining With Semantic Visual Loss.

Xiaofeng Yang, Fayao Liu, Guosheng Lin

IEEE Trans. Multim., 2023

Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting.

Xiaofeng Yang, Yiwen Chen, Cheng Chen, Chi Zhang, Yi Xu, Xulei Yang, Fayao Liu, Guosheng Lin

CoRR, 2023

Few-shot Image Generation via Style Adaptation and Content Preservation.

Xiaosheng He, Fan Yang, Fayao Liu, Guosheng Lin

CoRR, 2023

Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation.

Shichao Dong, Fayao Liu, Guosheng Lin

CoRR, 2023

MoDA: Modeling Deformable 3D Objects from Casual Videos.

Chaoyue Song, Tianyi Chen, Yiwen Chen, Jiacheng Wei, Chuan Sheng Foo, Fayao Liu, Guosheng Lin

CoRR, 2023

ELFNet: Evidential Local-global Fusion for Stereo Matching.

Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision.

Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Feature flow: In-network feature flow estimation for video object detection.

Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu

Pattern Recognit., 2022

CRCNet: Few-Shot Segmentation with Cross-Reference and Region-Global Conditional Networks.

Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu

Int. J. Comput. Vis., 2022

RWSeg: Cross-graph Competing Random Walks for Weakly Supervised 3D Instance Segmentation.

Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin

CoRR, 2022

Learning Spatial and Temporal Variations for 4D Point Cloud Segmentation.

Hanyu Shi, Jiacheng Wei, Hao Wang, Fayao Liu, Guosheng Lin

CoRR, 2022

Long-tailed Recognition by Learning from Latent Categories.

Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

CoRR, 2022

Weakly Supervised Segmentation on Outdoor 4D point clouds with Temporal Matching and Spatial Graph Propagation.

Hanyu Shi, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis.

Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Chaitanya K. Joshi, Jie Lin

Proceedings of the International Conference on 3D Vision, 2022

2021

Few-Shot Segmentation with Global and Local Contrastive Learning.

Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

CoRR, 2021

Point Discriminative Learning for Unsupervised Representation Learning on 3D Point Clouds.

Fayao Liu, Guosheng Lin, Chuan-Sheng Foo

CoRR, 2021

Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds.

Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Fayao Liu, Tzu-Yi Hung

CoRR, 2021

3D Pose Transfer with Correspondence Learning and Mesh Refinement.

Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding.

Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

On Automatic Data Augmentation for 3D Point Cloud Classification.

Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan Sheng Foo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

RefineNet: Multi-Path Refinement Networks for Dense Prediction.

Guosheng Lin, Fayao Liu, Anton Milan, Chunhua Shen, Ian D. Reid

IEEE Trans. Pattern Anal. Mach. Intell., 2020

TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering.

Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

CRNet: Cross-Reference Networks for Few-Shot Segmentation.

Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Local fusion networks with chained residual pooling for video action recognition.

Feixiang He, Fayao Liu, Rui Yao, Guosheng Lin

Image Vis. Comput., 2019

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering.

Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, Yazhou Yao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Towards Robust Curve Text Detection With Conditional Spatial Expansion.

Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Structured Learning of Tree Potentials in CRF for Image Segmentation.

Fayao Liu, Guosheng Lin, Ruizhi Qiao, Chunhua Shen

IEEE Trans. Neural Networks Learn. Syst., 2018

Correlation Propagation Networks for Scene Text Detection.

Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang

CoRR, 2018

2017

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

Fayao Liu, Guosheng Lin, Chunhua Shen

IEEE Trans. Image Process., 2017

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

Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen

Int. J. Comput. Vis., 2017

2016

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields.

Fayao Liu, Chunhua Shen, Guosheng Lin, Ian Reid

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Online unsupervised feature learning for visual tracking.

Fayao Liu, Chunhua Shen, Ian Reid, Anton van den Hengel

Image Vis. Comput., 2016

Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss.

Fayao Liu, Guosheng Lin, Chunhua Shen

CoRR, 2016

Structured Learning of Binary Codes with Column Generation.

Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen

CoRR, 2016

2015

CRF learning with CNN features for image segmentation.

Fayao Liu, Guosheng Lin, Chunhua Shen

Pattern Recognit., 2015

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

Michael Milford, Stephanie M. Lowry, Niko Sünderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Deep convolutional neural fields for depth estimation from a single image.

Fayao Liu, Chunhua Shen, Guosheng Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Efficient Dual Approach to Distance Metric Learning.

Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel

IEEE Trans. Neural Networks Learn. Syst., 2014

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

Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin

IEEE J. Biomed. Health Informatics, 2014

From Kernel Machines to Ensemble Learning.

Chunhua Shen, Fayao Liu

CoRR, 2014

2013

An Efficient Dual Approach to Distance Metric Learning

Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel

CoRR, 2013

Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification.

Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin

CoRR, 2013

2011

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

Proceedings of the Frontiers in Algorithmics and Algorithmic Aspects in Information and Management, 2011