Search Results for author: Huilin Xu

Found 4 papers, 2 papers with code

Learning Physical Dynamics for Object-centric Visual Prediction

no code implementations15 Mar 2024 Huilin Xu, Tao Chen, Feng Xu

The ability to model the underlying dynamics of visual scenes and reason about the future is central to human intelligence.

Object

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future

2 code implementations6 Dec 2023 Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Huilin Xu, Pinlong Cai, Li Chen, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Chunjing Xu, Tiancai Wang, Fei Xia, Beipeng Mu, Zhihui Peng, Dahua Lin, Yu Qiao

With the continuous maturation and application of autonomous driving technology, a systematic examination of open-source autonomous driving datasets becomes instrumental in fostering the robust evolution of the industry ecosystem.

Autonomous Driving

Physics-assisted Deep Learning for FMCW Radar Quantitative Imaging of Two-dimension Target

no code implementations5 Jul 2023 Zhuoyang Liu, Huilin Xu, Feng Xu

Radar imaging is crucial in remote sensing and has many applications in detection and autonomous driving.

Autonomous Driving Denoising

FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark

1 code implementation15 Jul 2021 Liang Xu, Xiaojing Lu, Chenyang Yuan, Xuanwei Zhang, Huilin Xu, Hu Yuan, Guoao Wei, Xiang Pan, Xin Tian, Libo Qin, Hu Hai

While different learning schemes -- fine-tuning, zero-shot, and few-shot learning -- have been widely explored and compared for languages such as English, there is comparatively little work in Chinese to fairly and comprehensively evaluate and compare these methods and thus hinders cumulative progress.

Few-Shot Learning Machine Reading Comprehension +4

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