Yanming Guo

According to our database, Yanming Guo authored at least 51 papers between 2006 and 2023.

Collaborative distances:

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

2023

CoCoOpter: Pre-train, prompt, and fine-tune the vision-language model for few-shot image classification.

Jie Yan, Yuxiang Xie, Yanming Guo, Yingmei Wei, Xiaoping Zhang, Xidao Luan

Int. J. Multim. Inf. Retr., December, 2023

Special Issue on Open-Domain Image Retrieval in the Wild.

Yu Liu, Yanming Guo, Yusuke Matsui

Int. J. Multim. Inf. Retr., December, 2023

Advancing Ultra-High Precision in Satellite-Ground Time-Frequency Comparison: Ground-Based Experiment and Simulation Verification for the China Space Station.

Yanming Guo, Shuaihe Gao, Zhibing Pan, Pei Wang, Xuewen Gong, Jiangyu Chen, Kun Song, Zhen Zhong, Yaoli Yue, Lishu Guo, Yan Bai, Yuping Gao, Xiaochun Lu, Shougang Zhang

Remote. Sens., November, 2023

Deep learning for video-text retrieval: a review.

Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu

Int. J. Multim. Inf. Retr., June, 2023

Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation.

Yanming Guo

CoRR, 2023

SCaTNet: A Novel Self-supervised Contrastive Framework with Spatial-Channel Attention and Temporal Transformer for Few-Shot Action Recognition.

Zanxi Ruan, Yingmei Wei, Yanming Guo, Yuxiang Xie, Yifei Yuan

Proceedings of the 6th International Conference on Algorithms, 2023

2022

A New Space-to-Ground Microwave-Based Two-Way Time Synchronization Method for Next-Generation Space Atomic Clocks.

Yanming Guo, Shuaihe Gao, Yan Bai, Zhibing Pan, Yinhua Liu, Xiaochun Lu, Shougang Zhang

Remote. Sens., 2022

Chinese named entity recognition: The state of the art.

Pan Liu, Yanming Guo, Fenglei Wang, Guohui Li

Neurocomputing, 2022

MHA-WoML: Multi-head attention and Wasserstein-OT for few-shot learning.

Junyan Yang, Jie Jiang, Yanming Guo

Int. J. Multim. Inf. Retr., 2022

Caption TLSTMs: combining transformer with LSTMs for image captioning.

Jie Yan, Yuxiang Xie, Xidao Luan, Yanming Guo, Quanzhi Gong, Suru Feng

Int. J. Multim. Inf. Retr., 2022

FCT: fusing CNN and transformer for scene classification.

Yuxiang Xie, Jie Yan, Lai Kang, Yanming Guo, Jiahui Zhang, Xidao Luan

Int. J. Multim. Inf. Retr., 2022

Few2Decide: towards a robust model via using few neuron connections to decide.

Jian Li, Yanming Guo, Songyang Lao, Xi Zhao, Liang Bai, Haoran Wang

Int. J. Multim. Inf. Retr., 2022

Automatic Multi-source Data Fusion Technique of Powerline Corridor using UAV Lidar.

Chao Su, Xiaomei Wu, Yanming Guo, Chun Sing Lai, Liang Xu, Xuan Zhao

Proceedings of the IEEE International Smart Cities Conference, 2022

VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining.

Mingrui Lao, Yanming Guo, Wei Chen, Nan Pu, Michael S. Lew

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Relativistic Effects on Satellite-Ground Two-Way Precise Time Synchronization.

Yanming Guo, Yan Bai, Shuaihe Gao, Zhibing Pan, Zibin Han, Decai Zou, Xiaochun Lu, Shougang Zhang

Inf., 2021

Multi-stage hybrid embedding fusion network for visual question answering.

Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew

Neurocomputing, 2021

Towards a high robust neural network via feature matching.

Jian Li, Yanming Guo, Songyang Lao, Yulun Wu, Liang Bai, Yingmei Wei

Int. J. Multim. Inf. Retr., 2021

From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering.

Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew

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

DCA-CLA: A scRNA-seq Classification Framework based on Deep Count Autoencoder.

Yulun Wu, Yanming Guo, Jian Li, Songyang Lao, Jinlin Guo, Haoran Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

A Language Prior Based Focal Loss for Visual Question Answering.

Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

An Inter-Satellite Two-Way Time Synchronization Method Based on Pseudo-Range Conversion.

Yanming Guo, Yan Bai, Decai Zou, Feng Zhang, Shuaihe Gao, Jian Zhang, Zhibing Pan, Xiaochun Lu

Proceedings of the 21st International Conference on Communication Technology, 2021

2020

PFNet: a novel part fusion network for fine-grained visual categorization.

Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao

Multim. Tools Appl., 2020

Special issue on deep learning in image and video retrieval.

Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua

Int. J. Multim. Inf. Retr., 2020

AAE-SC: A scRNA-Seq Clustering Framework Based on Adversarial Autoencoder.

Yulun Wu, Yanming Guo, Yandong Xiao, Songyang Lao

IEEE Access, 2020

Satellite-Ground Two-Way Measuring Method and Performance Evaluation of BDS-3 Inter-Satellite Link System.

Yan Bai, Yanming Guo, Xin Wang, Xiaochun Lu

IEEE Access, 2020

A survey of text classification models.

JinXiong Yang, Liang Bai, Yanming Guo

Proceedings of the RICAI 2020: 2nd International Conference on Robotics, 2020

Development and Application of an Intensive Care Medical Data Set for Deep Learning.

Shangping Zhao, Pan Liu, Guanxiu Tang, Yanming Guo, Guohui Li

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

CycleMatch: A cycle-consistent embedding network for image-text matching.

Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew

Pattern Recognit., 2019

Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation.

Lai Kang, Yingmei Wei, Yuxiang Xie, Jie Jiang, Yanming Guo

IEEE Access, 2019

2018

Bag of Surrogate Parts Feature for Visual Recognition.

Yanming Guo, Yu Liu, Songyang Lao, Erwin M. Bakker, Liang Bai, Michael S. Lew

IEEE Trans. Multim., 2018

Learning visual and textual representations for multimodal matching and classification.

Yu Liu, Li Liu, Yanming Guo, Michael S. Lew

Pattern Recognit., 2018

Fusion that matters: convolutional fusion networks for visual recognition.

Yu Liu, Yanming Guo, Theodoros Georgiou, Michael S. Lew

Multim. Tools Appl., 2018

CNN-RNN: a large-scale hierarchical image classification framework.

Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew

Multim. Tools Appl., 2018

A review of semantic segmentation using deep neural networks.

Yanming Guo, Yu Liu, Theodoros Georgiou, Michael S. Lew

Int. J. Multim. Inf. Retr., 2018

Adaptive Triplet Model for Fine-Grained Visual Categorization.

Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao

IEEE Access, 2018

Multimodal Local Perception Bilinear Pooling for Visual Question Answering.

Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang

IEEE Access, 2018

Cross-Modal Multistep Fusion Network With Co-Attention for Visual Question Answering.

Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang

IEEE Access, 2018

An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation.

Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Delving into Fully Convolutional Networks Activations for Visual Recognition.

Longfei Zhang, Yanming Guo

Proceedings of the 3rd International Conference on Multimedia and Image Processing, 2018

A Dual Prediction Network for Image Captioning.

Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Reference Based on Adaptive Attention Mechanism for Image Captioning.

Shuang Liu, Liang Bai, Yanming Guo, Haoran Wang

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017

What Convnets Make for Image Captioning?

Yu Liu, Yanming Guo, Michael S. Lew

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

On the Exploration of Convolutional Fusion Networks for Visual Recognition.

Yu Liu, Yanming Guo, Michael S. Lew

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Learning a Recurrent Residual Fusion Network for Multimodal Matching.

Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

基于聚类的视频专题演化分析方法 (Video Topic Evolution Analysis Based on Clustering).

Yuxiang Xie, Xidao Luan, Yanming Guo, Chen Li, Xiao Niu

计算机科学, 2016

Deep learning for visual understanding: A review.

Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew

Neurocomputing, 2016

Bag of Surrogate Parts: one inherent feature of deep CNNs.

Yanming Guo, Michael S. Lew

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Convolutional Neural Networks Features: Principal Pyramidal Convolution.

Yanming Guo, Songyang Lao, Yu Liu, Liang Bai, Shi Liu, Michael S. Lew

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

DeepIndex for Accurate and Efficient Image Retrieval.

Yu Liu, Yanming Guo, Song Wu, Michael S. Lew

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

2014

A Comparison between Artificial Neural Network and Cascade-Correlation Neural Network in Concept Classification.

Yanming Guo, Liang Bai, Songyang Lao, Song Wu, Michael S. Lew

Proceedings of the Advances in Multimedia Information Processing - PCM 2014, 2014

2006

A Grid-Based Pseudo-Cache solution for MISD biomedical problems with high confidentiality and efficiency.

Yuan-Shun Dai, Mathew J. Palakal, Shielly Hartanto, Xiaolong Wang, Yanming Guo

Int. J. Bioinform. Res. Appl., 2006