Goodge, Adam

8 publications

ICLR 2025 Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu

ICCV 2025 Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation Tiankai Chen, Yushu Li, Adam Goodge, Fei Teng, Xulei Yang, Tianrui Li, Xun Xu

ECML-PKDD 2025 SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation Adam Goodge, Bryan Hooi, Jingyi Liao, Yongyi Su, Wee Siong Ng, Xun Xu, Xulei Yang

WACV 2024 PromptAD: Zero-Shot Anomaly Detection Using Text Prompts Yiting Li, Adam Goodge, Fayao Liu, Chuan-Sheng Foo

ECML-PKDD 2022 ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng

IJCAI 2022 CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi

AAAI 2022 LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng

IJCAI 2020 Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng