Adam Goodge - RankMe

16 papers A* 4A 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model. ICLR Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu
2025	J	`jnl`	Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation. CoRR Tiankai Chen, Yushu Li, Adam Goodge, Fei Teng, XuLei Yang, Tianrui Li, Xun Xu
2025	—	`conf`	SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation. ECML/PKDD (1) Adam Goodge, Bryan Hooi, Jingyi Liao, Yongyi Su, Wee Siong Ng, Xun Xu, XuLei Yang
2025	J	`jnl`	SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation. CoRR Adam Goodge, Xun Xu, Bryan Hooi, Wee Siong Ng, Jingyi Liao, Yongyi Su, XuLei Yang
2025	J	`jnl`	Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities. CoRR Adam Goodge, Wee Siong Ng, Bryan Hooi, See-Kiong Ng
2024	J	`jnl`	COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection. CoRR Jingyi Liao, Xun Xu, Manh Cuong Nguyen, Adam Goodge, Chuan Sheng Foo
2024	J	`jnl`	COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection. IEEE Trans. Image Process. Jingyi Liao, Xun Xu, Manh Cuong Nguyen, Adam Goodge, Chuan Sheng Foo
2024	J	`jnl`	Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model. CoRR Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu
2024	A	`conf`	When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection. BMVC Adam Goodge, Bryan Hooi, Wee Siong Ng
2024	J	`jnl`	When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection. CoRR Adam Goodge, Bryan Hooi, Wee Siong Ng
2022	—	`conf`	ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. ECML/PKDD (1) Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2022	J	`jnl`	ARES: Locally Adaptive Reconstruction-based Anomaly Scoring. CoRR Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2022	A*	`conf`	CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. IJCAI Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi
2022	A*	`conf`	LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2021	J	`jnl`	LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. CoRR Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2020	A*	`conf`	Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. IJCAI Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng