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

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

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

ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. - Adam Goodge; Bryan Hooi; See-Kiong Ng; Wee Siong Ng (ECML/PKDD (1), 2022)

When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection. - Adam Goodge; Bryan Hooi; Wee Siong Ng (BMVC, 2024)

PromptAD: Zero-shot Anomaly Detection using Text Prompts. - Yiting Li; Adam David Goodge; Fayao Liu; Chuan-Sheng Foo (WACV, 2024)

COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection. - Jingyi Liao; Xun Xu 002; Manh Cuong Nguyen; Adam Goodge; Chuan Sheng Foo (IEEE Trans. Image Process., 2024)

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 002 (ICLR, 2025)

Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities. - Adam Goodge; Wee Siong Ng; Bryan Hooi; See-Kiong Ng (CoRR, 2025)

SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation. - Adam Goodge; Xun Xu 002; Bryan Hooi; Wee Siong Ng; Jingyi Liao; Yongyi Su; Xulei Yang (CoRR, 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 001; Xulei Yang; Tianrui Li 001; Xun Xu 002 (CoRR, 2025)