Guanghua Gu

5 papers · 2023–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16)

Venues

AAAI (3) CVPR (2)

Top co-authors

Chuangchuang Tan (5) Yao Zhao (4) Yunchao Wei (4) Shikui Wei (3) Ping Liu (2) Renshuai Tao (1) Huan Liu (1) Baoyuan Wu (1) Hao Fu (1) Zebing Yao (1)

Research topics

Computer Vision (4) Deep Learning (4) Machine Learning (4) Analysis (4) Application Areas (3) Core Methods (3) Learning Types · Deep Learning (3) Artificial Intelligence (2) Architectures (2) Core AI (2) Learning Types · Machine Learning (1) Models (1)

Keywords

deepfake detection (3) artifact detection (2) convolutional neural network (2) image generation (1) domain generalization (1) transfer learning (1) anomaly detection (1) prompt engineering (1) frequency domain (1) cross-modal hashing (1) cross-domain generalization (1) frequency spectrum (1) image forensics (1) generative network (1) synthetic image detection (1) fake image detection (1) frequency domain learning (1) gan detection (1) artifact representation (1) gradient-based feature (1)

Papers

ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing AAAI 2026 C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection AAAI 2025 Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning AAAI 2024 Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection CVPR 2024 Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection CVPR 2023