Shuo Wang

Orcid: 0000-0002-4881-9344

Affiliations:
  • University of Science and Technology of China, School of Information Science and Technology, Hefei, China
  • Hefei University of Technology, School of Computer Science and Information Engineering, China (Ph.D.)


According to our database1, Shuo Wang authored at least 34 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Feature Mixture on Pre-Trained Model for Few-Shot Learning.
IEEE Trans. Image Process., 2024

Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation.
CoRR, 2024

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models.
CoRR, 2024

Hierarchical Space-Time Attention for Micro-Expression Recognition.
CoRR, 2024

JPA: A Joint-Part Attention for Mitigating Overfocusing on 3D Human Pose Estimation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Hierarchical Supervised Contrastive Learning for Multimodal Sentiment Analysis.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Selective Vision-Language Subspace Projection for Few-shot CLIP.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Pseudo Content Hallucination for Unpaired Image Captioning.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective.
Proceedings of the Computer Vision - ECCV 2024, 2024

Boosting Few-Shot Learning via Attentive Feature Regularization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A meaningful learning method for zero-shot semantic segmentation.
Sci. China Inf. Sci., November, 2023

Boosting Hyperspectral Image Classification with Dual Hierarchical Learning.
ACM Trans. Multim. Comput. Commun. Appl., January, 2023

Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

CAR: Consolidation, Augmentation and Regulation for Recipe Retrieval.
CoRR, 2023

Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan.
CoRR, 2023

Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-Modal Contrastive Learning for Event Extraction.
Proceedings of the Database Systems for Advanced Applications, 2023

Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

How Can Contrastive Pre-training Benefit Audio-Visual Segmentation? A Study from Supervised and Zero-shot Perspectives.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Spatio-Temporal Collaborative Module for Efficient Action Recognition.
IEEE Trans. Image Process., 2022

Attention in Attention: Modeling Context Correlation for Efficient Video Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hierarchical Hourglass Convolutional Network for Efficient Video Classification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multi-directional Knowledge Transfer for Few-Shot Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Few-shot learning with relation propagation and constraint.
IET Comput. Vis., 2021

Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Large-Scale Few-Shot Learning via Multi-modal Knowledge Discovery.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Adversarial Network for Deep Active Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Cross-Modality Retrieval by Joint Correlation Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Dense Temporal Convolution Network for Sign Language Translation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Connectionist Temporal Fusion for Sign Language Translation.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018


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