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20232026
most citedRAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction

5 citations · 5 across the 16 of their papers we have counts for

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23 papers · 1 filter

cs.CV2026

Beyond Illumination: A Conditional Mutual Information-Guided Network for Low-Light Image Enhancement

Ya-nan Guan, Shaonan Zhang, Tao Dai +5

Low-light image enhancement (LLIE) seeks to restore structural fidelity, natural color rendition, and proper exposure from images captured under inadequate lighting conditions. Rec…

cs.CV2026

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)

Ya-nan Guan, Shaonan Zhang, Hang Guo +55

In this paper, we present a comprehensive overview of the NTIRE 2026 3rd Restore Any Image Model (RAIM) challenge, with a specific focus on Track 3: AI Flash Portrait. Despite sign…

cs.CV2025

CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection

Yaohua Zha, Xue Yuerong, Chunlin Fan +4

Deep learning-based 3D anomaly detection methods have demonstrated significant potential in industrial manufacturing. However, many approaches are specifically designed for anomaly…

cs.CV2025

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation

Yuxuan Zhou, Tao Yu, Wen Huang +3

The generalization capability of deepfake detectors is critical for real-world use. Data augmentation via synthetic fake face generation effectively enhances generalization, yet cu…

cs.CV2025

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter

Yaohua Zha, Yanzi Wang, Hang Guo +7

Applying pre-trained models to assist point cloud understanding has recently become a mainstream paradigm in 3D perception. However, existing application strategies are straightfor…

cs.CV2025

Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning

Jinpeng Wang, Tianci Luo, Yaohua Zha +7

Visual In-Context Learning (VICL) enables adaptively solving vision tasks by leveraging pixel demonstrations, mimicking human-like task completion through analogy. Prompt selection…