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2020 – today
- 2024
[j33]Jiangfan Liu, Yishan Li, Yanming Guo, Yu Liu, Jun Tang, Ying Nie:
Generation and Countermeasures of adversarial examples on vision: a survey. Artif. Intell. Rev. 57(8): 199 (2024)- [j32]Yishan Li, Yanming Guo, Yulun Wu, Yuxiang Xie, Mingrui Lao, Tianyuan Yu, Yirun Ruan:
RDAT: an efficient regularized decoupled adversarial training mechanism. Int. J. Multim. Inf. Retr. 13(2): 24 (2024) - [j31]Huilin Deng
, Hongchen Luo, Wei Zhai, Yanming Guo, Yang Cao, Yu Kang:
Prioritized Local Matching Network for Cross-Category Few-Shot Anomaly Detection. IEEE Trans. Artif. Intell. 5(9): 4550-4561 (2024) - [c21]Yulun Wu, Mingrui Lao, Yanming Guo, Dongmei Chen, Tianyuan Yu:
Boosting Adversarial Robustness Distillation Via Hybrid Decomposed Knowledge. ICASSP 2024: 4715-4719 - [i6]Yanming Guo, Jin Ma:
ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainability. CoRR abs/2406.09046 (2024) - [i5]Yanming Guo, Jin Ma:
Quantitative Global Carbon Inequality Network. CoRR abs/2406.16092 (2024) - [i4]Yanming Guo:
Multimodal Multilabel Classification by CLIP. CoRR abs/2406.16141 (2024) - 2023
- [j30]Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu:
Deep learning for video-text retrieval: a review. Int. J. Multim. Inf. Retr. 12(1): 3 (2023) - [j29]Jie Yan, Yuxiang Xie, Yanming Guo, Yingmei Wei, Xiaoping Zhang, Xidao Luan:
CoCoOpter: Pre-train, prompt, and fine-tune the vision-language model for few-shot image classification. Int. J. Multim. Inf. Retr. 12(2): 27 (2023) - [j28]Yu Liu, Yanming Guo, Yusuke Matsui:
Special Issue on Open-Domain Image Retrieval in the Wild. Int. J. Multim. Inf. Retr. 12(2): 36 (2023) - [j27]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:
Advancing Ultra-High Precision in Satellite-Ground Time-Frequency Comparison: Ground-Based Experiment and Simulation Verification for the China Space Station. Remote. Sens. 15(22): 5393 (2023) - [c20]Zanxi Ruan, Yingmei Wei, Yanming Guo, Yuxiang Xie, Yifei Yuan:
SCaTNet: A Novel Self-supervised Contrastive Framework with Spatial-Channel Attention and Temporal Transformer for Few-Shot Action Recognition. ACAI 2023: 135-140 - [i3]Cunjuan Zhu, Qi Jia, Wei Chen, Yanming Guo, Yu Liu:
Deep Learning for Video-Text Retrieval: a Review. CoRR abs/2302.12552 (2023) - [i2]Yanming Guo:
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation. CoRR abs/2311.01023 (2023) - 2022
- [j26]Jie Yan, Yuxiang Xie, Xidao Luan, Yanming Guo, Quanzhi Gong, Suru Feng:
Caption TLSTMs: combining transformer with LSTMs for image captioning. Int. J. Multim. Inf. Retr. 11(2): 111-121 (2022) - [j25]Jian Li, Yanming Guo, Songyang Lao, Xi Zhao, Liang Bai, Haoran Wang:
Few2Decide: towards a robust model via using few neuron connections to decide. Int. J. Multim. Inf. Retr. 11(2): 189-198 (2022) - [j24]Yuxiang Xie, Jie Yan, Lai Kang, Yanming Guo, Jiahui Zhang, Xidao Luan:
FCT: fusing CNN and transformer for scene classification. Int. J. Multim. Inf. Retr. 11(4): 611-618 (2022) - [j23]Junyan Yang, Jie Jiang, Yanming Guo:
MHA-WoML: Multi-head attention and Wasserstein-OT for few-shot learning. Int. J. Multim. Inf. Retr. 11(4): 681-694 (2022) - [j22]Pan Liu, Yanming Guo, Fenglei Wang, Guohui Li:
Chinese named entity recognition: The state of the art. Neurocomputing 473: 37-53 (2022) - [j21]Yanming Guo, Shuaihe Gao, Yan Bai, Zhibing Pan, Yinhua Liu, Xiaochun Lu, Shougang Zhang:
A New Space-to-Ground Microwave-Based Two-Way Time Synchronization Method for Next-Generation Space Atomic Clocks. Remote. Sens. 14(3): 528 (2022) - [c19]Mingrui Lao, Yanming Guo, Wei Chen, Nan Pu, Michael S. Lew:
VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining. ICASSP 2022: 4833-4837 - [c18]Chao Su, Xiaomei Wu, Yanming Guo, Chun Sing Lai, Liang Xu, Xuan Zhao:
Automatic Multi-source Data Fusion Technique of Powerline Corridor using UAV Lidar. ISC2 2022: 1-5 - 2021
- [j20]Jian Li, Yanming Guo, Songyang Lao, Yulun Wu, Liang Bai, Yingmei Wei:
Towards a high robust neural network via feature matching. Int. J. Multim. Inf. Retr. 10(4): 227-237 (2021) - [j19]Mingrui Lao, Yanming Guo, Nan Pu, Wei Chen, Yu Liu, Michael S. Lew:
Multi-stage hybrid embedding fusion network for visual question answering. Neurocomputing 423: 541-550 (2021) - [j18]Yanming Guo, Yan Bai, Shuaihe Gao, Zhibing Pan, Zibin Han, Decai Zou, Xiaochun Lu, Shougang Zhang:
Relativistic Effects on Satellite-Ground Two-Way Precise Time Synchronization. Inf. 12(10): 422 (2021) - [c17]Yanming Guo, Yan Bai, Decai Zou, Feng Zhang, Shuaihe Gao, Jian Zhang, Zhibing Pan, Xiaochun Lu:
An Inter-Satellite Two-Way Time Synchronization Method Based on Pseudo-Range Conversion. ICCT 2021: 1236-1241 - [c16]Mingrui Lao, Yanming Guo, Yu Liu, Michael S. Lew:
A Language Prior Based Focal Loss for Visual Question Answering. ICME 2021: 1-6 - [c15]Yulun Wu, Yanming Guo, Jian Li, Songyang Lao, Jinlin Guo, Haoran Wang:
DCA-CLA: A scRNA-seq Classification Framework based on Deep Count Autoencoder. IJCNN 2021: 1-10 - [c14]Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew:
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering. ACM Multimedia 2021: 3370-3379 - 2020
- [j17]Yan Bai, Yanming Guo, Xin Wang, Xiaochun Lu:
Satellite-Ground Two-Way Measuring Method and Performance Evaluation of BDS-3 Inter-Satellite Link System. IEEE Access 8: 157530-157540 (2020) - [j16]Yulun Wu, Yanming Guo, Yandong Xiao, Songyang Lao:
AAE-SC: A scRNA-Seq Clustering Framework Based on Adversarial Autoencoder. IEEE Access 8: 178962-178975 (2020) - [j15]Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua:
Special issue on deep learning in image and video retrieval. Int. J. Multim. Inf. Retr. 9(2): 61-62 (2020) - [j14]Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao:
PFNet: a novel part fusion network for fine-grained visual categorization. Multim. Tools Appl. 79(45-46): 33397-33416 (2020) - [c13]Shangping Zhao, Pan Liu, Guanxiu Tang, Yanming Guo, Guohui Li:
Development and Application of an Intensive Care Medical Data Set for Deep Learning. IEEE BigData 2020: 3369-3373 - [c12]JinXiong Yang, Liang Bai, Yanming Guo:
A survey of text classification models. RICAI 2020: 327-334
2010 – 2019
- 2019
- [j13]Lai Kang, Yingmei Wei, Yuxiang Xie, Jie Jiang, Yanming Guo:
Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation. IEEE Access 7: 109460-109473 (2019) - [j12]Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew:
CycleMatch: A cycle-consistent embedding network for image-text matching. Pattern Recognit. 93: 365-379 (2019) - 2018
- [j11]Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang:
Cross-Modal Multistep Fusion Network With Co-Attention for Visual Question Answering. IEEE Access 6: 31516-31524 (2018) - [j10]Mingrui Lao, Yanming Guo, Hui Wang, Xin Zhang:
Multimodal Local Perception Bilinear Pooling for Visual Question Answering. IEEE Access 6: 57923-57932 (2018) - [j9]Jingyun Liang, Jinlin Guo, Yanming Guo, Songyang Lao:
Adaptive Triplet Model for Fine-Grained Visual Categorization. IEEE Access 6: 76776-76786 (2018) - [j8]Yanming Guo, Yu Liu, Theodoros Georgiou, Michael S. Lew:
A review of semantic segmentation using deep neural networks. Int. J. Multim. Inf. Retr. 7(2): 87-93 (2018) - [j7]Yanming Guo, Yu Liu, Erwin M. Bakker, Yuanhao Guo, Michael S. Lew:
CNN-RNN: a large-scale hierarchical image classification framework. Multim. Tools Appl. 77(8): 10251-10271 (2018) - [j6]Yu Liu, Yanming Guo, Theodoros Georgiou, Michael S. Lew:
Fusion that matters: convolutional fusion networks for visual recognition. Multim. Tools Appl. 77(22): 29407-29434 (2018) - [j5]Yu Liu, Li Liu, Yanming Guo, Michael S. Lew:
Learning visual and textual representations for multimodal matching and classification. Pattern Recognit. 84: 51-67 (2018) - [j4]Yanming Guo, Yu Liu, Songyang Lao, Erwin M. Bakker, Liang Bai, Michael S. Lew:
Bag of Surrogate Parts Feature for Visual Recognition. IEEE Trans. Multim. 20(6): 1525-1536 (2018) - [c11]Shuang Liu, Liang Bai, Yanming Guo, Haoran Wang:
Reference Based on Adaptive Attention Mechanism for Image Captioning. BigMM 2018: 1-8 - [c10]Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew:
A Dual Prediction Network for Image Captioning. ICME 2018: 1-6 - [c9]Longfei Zhang, Yanming Guo:
Delving into Fully Convolutional Networks Activations for Visual Recognition. ICMIP 2018: 99-104 - [c8]Yu Liu, Yanming Guo, Wei Chen, Michael S. Lew:
An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation. ICPR 2018: 219-224 - 2017
- [c7]Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew:
Learning a Recurrent Residual Fusion Network for Multimodal Matching. ICCV 2017: 4127-4136 - [c6]Yu Liu, Yanming Guo, Michael S. Lew:
On the Exploration of Convolutional Fusion Networks for Visual Recognition. MMM (1) 2017: 277-289 - [c5]Yu Liu, Yanming Guo, Michael S. Lew:
What Convnets Make for Image Captioning? MMM (1) 2017: 416-428 - 2016
- [j3]Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu, Michael S. Lew:
Deep learning for visual understanding: A review. Neurocomputing 187: 27-48 (2016) - [j2]Yuxiang Xie, Xidao Luan, Yanming Guo, Chen Li, Xiao Niu:
基于聚类的视频专题演化分析方法 (Video Topic Evolution Analysis Based on Clustering). 计算机科学 43(7): 62-66 (2016) - [c4]Yanming Guo, Michael S. Lew:
Bag of Surrogate Parts: one inherent feature of deep CNNs. BMVC 2016 - [i1]Yu Liu, Yanming Guo, Michael S. Lew:
On the Exploration of Convolutional Fusion Networks for Visual Recognition. CoRR abs/1611.05503 (2016) - 2015
- [c3]Yu Liu, Yanming Guo, Song Wu, Michael S. Lew:
DeepIndex for Accurate and Efficient Image Retrieval. ICMR 2015: 43-50 - [c2]Yanming Guo, Songyang Lao, Yu Liu, Liang Bai, Shi Liu, Michael S. Lew:
Convolutional Neural Networks Features: Principal Pyramidal Convolution. PCM (1) 2015: 245-253 - 2014
- [c1]Yanming Guo, Liang Bai, Songyang Lao, Song Wu, Michael S. Lew:
A Comparison between Artificial Neural Network and Cascade-Correlation Neural Network in Concept Classification. PCM 2014: 248-253
2000 – 2009
- 2006
- [j1]Yuan-Shun Dai, Mathew J. Palakal, Shielly Hartanto, Xiaolong Wang, Yanming Guo:
A Grid-Based Pseudo-Cache solution for MISD biomedical problems with high confidentiality and efficiency. Int. J. Bioinform. Res. Appl. 2(3): 259-281 (2006)
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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