Xixi Liu

Doctoral Student at Signal Processing and Biomedical Engineering

Xixi Liu is a PhD student in the Computer Vision and Medical Image Analysis group. She is participating in the Wallenberg AI, Autonomous Systems and Software Program (WASP). Her research focuses on enabling the reliable deployment of multi-modal foundation models, with an emphasis on applications in out-of-distribution (OOD) detection and mitigating hallucinations.

Source: chalmers.se
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Showing 5 publications

2024

Text Prompt Augmentation for Zero-shot Out-of-Distribution Detection

Xixi Liu, Christopher Zach
2024 European Conference on Computer Vision. Vol. 15059-15147
Paper in proceeding
2024

Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays

Xixi Liu, Jennifer Alvén, Ida Häggström et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14349 LNCS, p. 293-302
Paper in proceeding
2023

GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection

Xixi Liu, Yaroslava Lochman, Christopher Zach
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2023-June, p. 23946-23955
Paper in proceeding
2022

Effortless Training of Joint Energy-Based Models with Sliced Score Matching

Xixi Liu, Dorian Staudt, Che-Tsung Lin et al
Proceedings - International Conference on Pattern Recognition. Vol. 2022-August, p. 2643-2649
Paper in proceeding
2022

Joint Energy-based Model for Deep Probabilistic Regression

Xixi Liu, Che-Tsung Lin, Christopher Zach
Proceedings - International Conference on Pattern Recognition. Vol. 2022-August, p. 2693-2699
Paper in proceeding

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