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20232026
most citedMeta-Auxiliary Learning for Micro-Expression Recognition

5 citations · 13 across the 34 of their papers we have counts for

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10 papers · 1 filter

cs.CV2025

Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection

Jingyao Wang, Yiming Chen, Lingyu Si +1

Scene understanding is one of the core tasks in computer vision, aiming to extract semantic information from images to identify objects, scene categories, and their interrelationsh…

cs.CV2025

Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation

Jingyao Wang, Jianqi Zhang, Wenwen Qiang +1

Despite the strength of the Segment Anything Model (SAM), it struggles with generalization issues in open-vocabulary multi-entity segmentation (OVMS). Through empirical and causal…

cs.CV2024★ 1 cited

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition

Jingyao Wang, Wenwen Qiang, Changwen Zheng +1

Fine-grained emotion recognition (FER) plays a vital role in various fields, such as disease diagnosis, personalized recommendations, and multimedia mining. However, existing FER m…

cs.CV2024★ 2 cited

DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation

Yuxuan Yang, Tao Geng

Interior design is a complex and creative discipline involving aesthetics, functionality, ergonomics, and materials science. Effective solutions must meet diverse requirements, typ…

cs.CV2024

Less yet robust: crucial region selection for scene recognition

Jianqi Zhang, Mengxuan Wang, Jingyao Wang +3

Scene recognition, particularly for aerial and underwater images, often suffers from various types of degradation, such as blurring or overexposure. Previous works that focus on co…

cs.CV2024

Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning

Jingyao Wang, Luntian Mou, Changwen Zheng +1

Freeform handwriting authentication verifies a person's identity from their writing style and habits in messy handwriting data. This technique has gained widespread attention in re…

cs.CV2024★ 5 cited

Meta-Auxiliary Learning for Micro-Expression Recognition

Jingyao Wang, Yunhan Tian, Yuxuan Yang +3

Micro-expressions (MEs) are involuntary movements revealing people's hidden feelings, which has attracted numerous interests for its objectivity in emotion detection. However, desp…

cs.CV2023

CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication

Jingyao Wang, Luntian Mou, Changwen Zheng +1

Handwriting authentication is a valuable tool used in various fields, such as fraud prevention and cultural heritage protection. However, it remains a challenging task due to the c…

cs.CV2023★ 1 cited

Text-based Person Search without Parallel Image-Text Data

Yang Bai, Jingyao Wang, Min Cao +4

Text-based person search (TBPS) aims to retrieve the images of the target person from a large image gallery based on a given natural language description. Existing methods are domi…

cs.CV2023

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening

Min Cao, Yang Bai, Jingyao Wang +3

Under the flourishing development in performance, current image-text retrieval methods suffer from -related time complexity, which hinders their application in practice. Targeti…