← Search

Yijia Liu

3 accepted papers

2025

FreeDriveRF: Monocular RGB Dynamic NeRF Without Poses for Autonomous Driving via Point-Level Dynamic-Static Decoupling

ICRA 2025

Dynamic scene reconstruction for autonomous driving enables vehicles to perceive and interpret complex scene changes more precisely. Dynamic Neural Radiance Fields (NeRFs) have recently shown promising capability in scene modeling. However, many existing methods rely heavily on accurate poses inputs

Cited by 4SourcecodeScholar
2021

Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models

NAACL 2021long

Chinese pre-trained language models usually process text as a sequence of characters, while ignoring more coarse granularity, e.g., words. In this work, we propose a novel pre-training paradigm for Chinese — Lattice-BERT, which explicitly incorporates word representations along with characters, thus…

2021

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation

ACL 2021long

Existing work in multilingual pretraining has demonstrated the potential of cross-lingual transferability by training a unified Transformer encoder for multiple languages. However, much of this work only relies on the shared vocabulary and bilingual contexts to encourage the correlation across langu…