Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Hu, Yihan"'
Autor:
Hu, Yihan, Chai, Siqi, Yang, Zhening, Qian, Jingyu, Li, Kun, Shao, Wenxin, Zhang, Haichao, Xu, Wei, Liu, Qiang
As autonomous driving systems being deployed to millions of vehicles, there is a pressing need of improving the system's scalability, safety and reducing the engineering cost. A realistic, scalable, and practical simulator of the driving world is hig
Externí odkaz:
http://arxiv.org/abs/2407.02797
Despite significant advancements in image matting, existing models heavily depend on manually-drawn trimaps for accurate results in natural image scenarios. However, the process of obtaining trimaps is time-consuming, lacking user-friendliness and de
Externí odkaz:
http://arxiv.org/abs/2404.00335
We aim to leverage diffusion to address the challenging image matting task. However, the presence of high computational overhead and the inconsistency of noise sampling between the training and inference processes pose significant obstacles to achiev
Externí odkaz:
http://arxiv.org/abs/2312.05915
Autor:
Hu, Yihan, Li, Kun, Liang, Pingyuan, Qian, Jingyu, Yang, Zhening, Zhang, Haichao, Shao, Wenxin, Ding, Zhuangzhuang, Xu, Wei, Liu, Qiang
This paper presents our 2nd place solution for the NuPlan Challenge 2023. Autonomous driving in real-world scenarios is highly complex and uncertain. Achieving safe planning in the complex multimodal scenarios is a highly challenging task. Our approa
Externí odkaz:
http://arxiv.org/abs/2306.15700
Autor:
Hu, Yihan, Yang, Jiazhi, Chen, Li, Li, Keyu, Sima, Chonghao, Zhu, Xizhou, Chai, Siqi, Du, Senyao, Lin, Tianwei, Wang, Wenhai, Lu, Lewei, Jia, Xiaosong, Liu, Qiang, Dai, Jifeng, Qiao, Yu, Li, Hongyang
Modern autonomous driving system is characterized as modular tasks in sequential order, i.e., perception, prediction, and planning. In order to perform a wide diversity of tasks and achieve advanced-level intelligence, contemporary approaches either
Externí odkaz:
http://arxiv.org/abs/2212.10156
Autor:
Hu, Yihan, Shao, Wenxin, Jiang, Bo, Chen, Jiajie, Chai, Siqi, Yang, Zhening, Qian, Jingyu, Zhou, Helong, Liu, Qiang
In this report, we introduce our solution to the Occupancy and Flow Prediction challenge in the Waymo Open Dataset Challenges at CVPR 2022, which ranks 1st on the leaderboard. We have developed a novel hierarchical spatial-temporal network featured w
Externí odkaz:
http://arxiv.org/abs/2206.10118
Publikováno v:
In Ecotoxicology and Environmental Safety 15 September 2024 283
Publikováno v:
In Emerging Contaminants September 2024 10(3)
There have been two streams in the 3D detection from point clouds: single-stage methods and two-stage methods. While the former is more computationally efficient, the latter usually provides better detection accuracy. By carefully examining the two-s
Externí odkaz:
http://arxiv.org/abs/2112.09205
Autor:
Hu, Yihan, Xiong, Linxue, Cai, Xiaojia, Lin, Zicong, Zhou, Xinglong, Zhang, Jiong, Tang, Xiufeng, Zhan, Yunfeng, Luo, Jianyi
Publikováno v:
In Solar Energy Materials and Solar Cells 15 August 2024 274