Search Results for author: Xiangchao Yan

Found 6 papers, 6 papers with code

StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding

1 code implementation20 Sep 2023 Renqiu Xia, Bo Zhang, Haoyang Peng, Hancheng Ye, Xiangchao Yan, Peng Ye, Botian Shi, Yu Qiao, Junchi Yan

Charts are common in literature across different scientific fields, conveying rich information easily accessible to readers.

Ranked #17 on Chart Question Answering on ChartQA (using extra training data)

Chart Question Answering Language Modelling +2

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving

1 code implementation19 Sep 2023 Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao

Our contributions are threefold: (1) Occupancy prediction is shown to be promising for learning general representations, which is demonstrated by extensive experiments on plenty of datasets and tasks.

3D Object Detection Autonomous Driving +3

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

2 code implementations11 Sep 2023 Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao

Domain shifts such as sensor type changes and geographical situation variations are prevalent in Autonomous Driving (AD), which poses a challenge since AD model relying on the previous domain knowledge can be hardly directly deployed to a new domain without additional costs.

Autonomous Driving Domain Generalization

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset

1 code implementation NeurIPS 2023 Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao

It is a long-term vision for Autonomous Driving (AD) community that the perception models can learn from a large-scale point cloud dataset, to obtain unified representations that can achieve promising results on different tasks or benchmarks.

Autonomous Driving Point Cloud Pre-training

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