Adam Goodge

According to our database, Adam Goodge authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities.

Adam Goodge, Wee Siong Ng, Bryan Hooi, See-Kiong Ng

CoRR, January, 2025

2024

COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection.

Jingyi Liao, Xun Xu, 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

CoRR, 2024

When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection.

Adam Goodge, Bryan Hooi, Wee Siong Ng

CoRR, 2024

PromptAD: Zero-shot Anomaly Detection using Text Prompts.

Yiting Li, Adam David Goodge, Fayao Liu, Chuan-Sheng Foo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022

ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring.

Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias.

Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks.

Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact.

Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020