Min Dou

According to our database, Min Dou authored at least 18 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes.

Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Tiantian Wei, Min Dou, Botian Shi, Yong Liu

CoRR, 2024

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving.

Xuemeng Yang, Licheng Wen, Yukai Ma, Jianbiao Mei, Xin Li, Tiantian Wei, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao

CoRR, 2024

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models.

Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao

CoRR, 2024

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.

Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Zhenxiang Li, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Zhongying Tu, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai

CoRR, 2024

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving.

Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao

CoRR, 2024

Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond.

Zheng Zhu, Xiaofeng Wang, Wangbo Zhao, Chen Min, Nianchen Deng, Min Dou, Yuqi Wang, Botian Shi, Kai Wang, Chi Zhang, Yang You, Zhaoxiang Zhang, Dawei Zhao, Liang Xiao, Jian Zhao, Jiwen Lu, Guan Huang

CoRR, 2024

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Zhe Chen, Weiyun Wang, Hao Tian, Shenglong Ye, Zhangwei Gao, Erfei Cui, Wenwen Tong, Kongzhi Hu, Jiapeng Luo, Zheng Ma, Ji Ma, Jiaqi Wang, Xiaoyi Dong, Hang Yan, Hewei Guo, Conghui He, Botian Shi, Zhenjiang Jin, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang

CoRR, 2024

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.

Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao

CoRR, 2024

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving.

Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, Xing Gao, Xinyu Cai, Bo Zhang, Xuemeng Yang, Yeqi Bai, Hongbin Zhou, Botian Shi

CoRR, 2024

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models.

Daocheng Fu, Xin Li, Licheng Wen, Min Dou, Pinlong Cai, Botian Shi, Yu Qiao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving.

Daocheng Fu, Wenjie Lei, Licheng Wen, Pinlong Cai, Song Mao, Min Dou, Botian Shi, Yu Qiao

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models.

Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Identifying Core Wavelengths of Oil Tree's Hyperspectral Data by Taylor Expansion.

Zhibin Sun, Xinyue Jiang, Xuehai Tang, Lipeng Yan, Fan Kuang, Xiaozhou Li, Min Dou, Bin Wang, Xiang Gao

Remote. Sens., June, 2023

Towards Knowledge-driven Autonomous Driving.

Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong Liu, Liang He, Yu Qiao

CoRR, 2023

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving.

Licheng Wen, Xuemeng Yang, Daocheng Fu, Xiaofeng Wang, Pinlong Cai, Xin Li, Tao Ma, Yingxuan Li, Linran Xu, Dengke Shang, Zheng Zhu, Shaoyan Sun, Yeqi Bai, Xinyu Cai, Min Dou, Shuanglu Hu, Botian Shi, Yu Qiao

CoRR, 2023

LimSim: A Long-Term Interactive Multi-Scenario Traffic Simulator.

Licheng Wen, Daocheng Fu, Song Mao, Pinlong Cai, Min Dou, Yikang Li, Yu Qiao

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation.

Ben Fei, Siyuan Huang, Jiakang Yuan, Botian Shi, Bo Zhang, Tao Chen, Min Dou, Yu Qiao

CoRR, 2022