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Rizhao Fan

2 accepted papers

2024

Exploring Few-Beam LiDAR Assistance in Self-Supervised Multi-Frame Depth Estimation

IROS 2024poster

Self-supervised multi-frame depth estimation methods only require unlabeled monocular videos for training. However, most existing methods face challenges, including accuracy degradation caused by moving objects in dynamic scenes and scale ambiguity due to the absence of real-world references. In thi…

Cited by 0SourceScholar
2022

Learning to Adapt to Low-Resource Paraphrase Generation

EMNLP 2022main

Paraphrase generation is a longstanding NLP task and achieves great success with the aid of large corpora. However, transferring a paraphrasing model to another domain encounters the problem of domain shifting especially when the data is sparse. At the same time, widely using large pre-trained langu…

Cited by 4SourcePDFScholar