Yazhou Yao

Orcid: 0000-0002-0337-9410

According to our database¹, Yazhou Yao authored at least 107 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information.

[BibT_eX]

[DOI]

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

Two-stage fine-grained image classification model based on multi-granularity feature fusion.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

Spatial Structure Constraints for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Group Benefits Instances Selection for Data Purification.

[BibT_eX]

[DOI]

CoRR, 2024

Poly Kernel Inception Network for Remote Sensing Detection.

[BibT_eX]

[DOI]

CoRR, 2024

VideoMAC: Video Masked Autoencoders Meet ConvNets.

[BibT_eX]

[DOI]

CoRR, 2024

Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Spatial Structure Constraints for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning.

[BibT_eX]

[DOI]

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

2023

Guest Editorial: Learning from limited annotations for computer vision tasks.

[BibT_eX]

[DOI]

IET Comput. Vis., August, 2023

Information bottleneck and selective noise supervision for zero-shot learning.

[BibT_eX]

[DOI]

Mach. Learn., July, 2023

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

[BibT_eX]

[DOI]

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

Motion Stimulation for Compositional Action Recognition.

[BibT_eX]

[DOI]

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

Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Hierarchical Co-Attention Propagation Network for Zero-Shot Video Object Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Tao Chen

Yazhou Yao

Jinhui Tang

IEEE Trans. Image Process., 2023

Co-mining: Mining informative samples with noisy labels.

[BibT_eX]

[DOI]

Signal Process., 2023

Robust learning from noisy web data for fine-Grained recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Hierarchical Graph Pattern Understanding for Zero-Shot VOS.

[BibT_eX]

[DOI]

CoRR, 2023

Holistic Prototype Attention Network for Few-Shot VOS.

[BibT_eX]

[DOI]

CoRR, 2023

Co-attention Propagation Network for Zero-Shot Video Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Attention Map Guided Transformer Pruning for Edge Device.

[BibT_eX]

[DOI]

CoRR, 2023

Semi-Supervised Semantic Segmentation With Region Relevance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Multimodal Marketing Intent Analysis for Effective Targeted Advertising.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Guest Editorial: Learning From Noisy Multimedia Data.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Self-Supervised Depth Completion From Direct Visual-LiDAR Odometry in Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Dense Semantics-Assisted Networks for Video Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

DBFC-Net: a uniform framework for fine-grained cross-media retrieval.

[BibT_eX]

[DOI]

Qiong Wang

Youdong Guo

Yazhou Yao

Multim. Syst., 2022

An Uncertainly Dynamic Loss Correction and Global Sample Selection Method for Webly Supervised Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

Circuits Syst. Signal Process., 2022

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Few-Shot Object Detection via Understanding Convolution and Attention.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Unsupervised Pre-training for 3D Object Detection with Transformer.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Feature Difference Enhancement Fusion for Remote Sensing Image Change Detection.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Exploring Linear Feature Disentanglement for Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction.

[BibT_eX]

[DOI]

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

2021

Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Exploiting textual queries for dynamically visual disambiguation.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Knowledge memorization and generation for action recognition in still images.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones.

[BibT_eX]

[DOI]

CoRR, 2021

Local Self-Attention on Fine-grained Cross-media Retrieval.

[BibT_eX]

[DOI]

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Extracting Useful Knowledge from Noisy Web Images via Data Purification for Fine-Grained Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Curriculum-Based Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Video Representation Learning with Graph Contrastive Augmentation.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

CAA: Candidate-Aware Aggregation for Temporal Action Detection.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Link Prediction with Multiple Structural Attentions in Multiplex Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Few-Shot Semantic Segmentation with Cyclic Memory Network.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Jo-SRC: A Contrastive Approach for Combating Noisy Labels.

[BibT_eX]

[DOI]

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

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

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

2020

Exploiting Web Images for Multi-Output Classification: From Category to Subcategories.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Approximate Kernel Selection via Matrix Approximation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Towards Automatic Construction of Diverse, High-Quality Image Datasets.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Pseudo distribution on unseen classes for generalized zero shot learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

CAN-GAN: Conditioned-attention normalized GAN for face age synthesis.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Road segmentation with image-LiDAR data fusion in deep neural network.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2020

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge.

[BibT_eX]

[DOI]

CoRR, 2020

Data-driven Meta-set Based Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Salvage Reusable Samples from Noisy Data for Robust Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

IEEE Access, 2020

A Novel CNN Architecture for Real-Time Point Cloud Recognition in Road Environment.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Multi-model Network for Fine-Grained Cross-Media Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Field-wise Learning for Multi-field Categorical Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Data-driven Meta-set Based Fine-Grained Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Generative Adversarial and Self-Attention Based Fine-Grained Cross-Media Retrieval.

[BibT_eX]

[DOI]

Proceedings of the ICVISP 2020: 4th International Conference on Vision, 2020

Web-Supervised Network for Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Hsi Road: A Hyper Spectral Image Dataset For Road Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Region Graph Embedding Network for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Motion-Attentive Transition for Zero-Shot Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Extracting Multiple Visual Senses for Web Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

Extracting Privileged Information for Enhancing Classifier Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Exploiting textual and visual features for image categorization.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Deep representation learning for road detection using Siamese network.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Clustering-driven unsupervised deep hashing for image retrieval.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Deep Representation Learning for Road Detection through Siamese Network.

[BibT_eX]

[DOI]

CoRR, 2019

Road Segmentation with Image-LiDAR Data Fusion.

[BibT_eX]

[DOI]

CoRR, 2019

Dynamically Visual Disambiguation of Keyword-based Image Search.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

[BibT_eX]

[DOI]

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

Attentive Region Embedding Network for Zero-Shot Learning.

[BibT_eX]

[DOI]

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

2018

Towards automatic construction of diverse, high-quality image dataset

[BibT_eX]

[DOI]

Yazhou Yao

PhD thesis, 2018

Collaborative representation based local discriminant projection for feature extraction.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

Extracting Privileged Information from Untagged Corpora for Classifier Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Discovering and Distinguishing Multiple Visual Senses for Polysemous Words.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Exploiting Web Images for Dataset Construction: A Domain Robust Approach.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

A new web-supervised method for image dataset constructions.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Towards Automatic Construction of Diverse, High-quality Image Dataset.

[BibT_eX]

[DOI]

CoRR, 2017

Refining Image Categorization by Exploiting Web Images and General Corpus.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Learning for Person Reidentification Using Support Vector Machines.

[BibT_eX]

[DOI]

Adv. Multim., 2017

2016

Extracting Visual Knowledge from the Internet: Making Sense of Image Data.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

A Domain Robust Approach For Image Dataset Construction.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Automatic image dataset construction with multiple textual metadata.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Yazhou Yao

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...