Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments. - Hao Dong 011; Xieyuanli Chen; Cyrill Stachniss (ECMR, 2021)

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction. - Hao Dong 011; Xianjing Zhang; Xuan Jiang; Jun Zhang 051; Jintao Xu 001; Rui Ai 001; Weihao Gu; Huimin Lu 002; Juho Kannala; Xieyuanli Chen (CoRR, 2022)

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors. - Hao Dong 011; Xieyuanli Chen; Mihai Dusmanu; Viktor Larsson; Marc Pollefeys; Cyrill Stachniss (ICRA, 2023)

SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization. - Hao Dong 011; Ismail Nejjar; Han Sun; Eleni N. Chatzi; Olga Fink (NeurIPS, 2023)

Online pole segmentation on range images for long-term LiDAR localization in urban environments. - Hao Dong 011; Xieyuanli Chen; Simo Särkkä; Cyrill Stachniss (Robotics Auton. Syst., 2023)

Towards Multimodal Open-Set Domain Generalization and Adaptation Through Self-supervision. - Hao Dong 011; Eleni N. Chatzi; Olga Fink (ECCV (59), 2024)

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation. - Hao Dong 011; Weihao Gu; Xianjing Zhang; Jintao Xu 001; Rui Ai 001; Huimin Lu 002; Juho Kannala; Xieyuanli Chen (ICRA, 2024)

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities. - Hao Dong 011; Yue Zhao 016; Eleni N. Chatzi; Olga Fink (NeurIPS, 2024)

Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making. - Yuan Tian 014; Wenqi Zhou; Hao Dong 011; David S. Kammer; Olga Fink (CoRR, 2024)

Unseen Visual Anomaly Generation. - Han Sun; Yunkang Cao; Hao Dong 011; Olga Fink (CVPR, 2025)

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization. - Hao Dong 011; Eleni N. Chatzi; Olga Fink (ICLR, 2025)

Recall and Refine: A Simple but Effective Source-free Open- set Domain Adaptation Framework. - Ismail Nejjar; Hao Dong 011; Olga Fink (Trans. Mach. Learn. Res., 2025)

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models. - Hao Dong 011; Moru Liu; Kaiyang Zhou; Eleni N. Chatzi; Juho Kannala; Cyrill Stachniss; Olga Fink (CoRR, 2025)

Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation. - Moru Liu; Hao Dong 011; Jessica Kelly; Olga Fink; Mario Trapp (CoRR, 2025)

To Trust Or Not To Trust Your Vision-Language Model's Prediction. - Hao Dong 011; Moru Liu; Jian Liang; Eleni N. Chatzi; Olga Fink (CoRR, 2025)

NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation. - Hao Dong 011; Gaëtan Frusque; Yue Zhao 016; Eleni N. Chatzi; Olga Fink (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adapting Vision-Language Models Without Labels: A Comprehensive Survey. - Hao Dong 011; Lijun Sheng; Jian Liang; Ran He; Eleni N. Chatzi; Olga Fink (CoRR, 2025)