Guansong Pang

Domain-Skewed Federated Learning with Feature Decoupling and Calibration CVPR 2026 MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models AAAI 2026 TargetVAU: Multimodal Anomaly-Aware Reasoning for Target Behavior Understanding in Videos AAAI 2026 Unleashing Vision-Language Semantics for Deepfake Video Detection CVPR 2026 Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination WACV 2025 Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection ICCV 2025 Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection ICCV 2025 FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting IJCAI 2025 GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers ICML 2025 HVI: A New Color Space for Low-light Image Enhancement CVPR 2025 Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting ICML 2025 Open-Set Graph Anomaly Detection via Normal Structure Regularisation ICLR 2025 Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts IJCAI 2025 AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection ICLR 2024 Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection CVPR 2024 Generative Semi-supervised Graph Anomaly Detection NeurIPS 2024 Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024 Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation NeurIPS 2024 Open-Vocabulary Video Anomaly Detection CVPR 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 Simple Image-Level Classification Improves Open-Vocabulary Object Detection AAAI 2024 Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024 VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection AAAI 2024 Anomaly Detection Under Distribution Shift ICCV 2023 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment AAAI 2023 Feature Prediction Diffusion Model for Video Anomaly Detection ICCV 2023 Glocal Energy-Based Learning for Few-Shot Open-Set Recognition CVPR 2023 Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation ICCV 2023 Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection NeurIPS 2023 Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection CVPR 2022 Deep One-Class Classification via Interpolated Gaussian Descriptor AAAI 2022 Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes ECCV 2022 BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification ICCV 2021 Occluded Person Re-Identification With Single-Scale Global Representations ICCV 2021 Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning ICCV 2021 Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection CVPR 2020 Unsupervised Representation Learning by Predicting Random Distances IJCAI 2020 Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning IJCAI 2017 Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection IJCAI 2017 Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings IJCAI 2016