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20232026
most citedRethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective

2 citations · 8 across the 39 of their papers we have counts for

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13 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

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation

Wenwen Qiang, Ziyin Gu, Lingyu Si +4

In this paper, we addressed the limitation of relying solely on distribution alignment and source-domain empirical risk minimization in Unsupervised Domain Adaptation (UDA). Our in…

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…