Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Gao, Shenyuan"'
Autor:
Gao, Shenyuan, Yang, Jiazhi, Chen, Li, Chitta, Kashyap, Qiu, Yihang, Geiger, Andreas, Zhang, Jun, Li, Hongyang
World models can foresee the outcomes of different actions, which is of paramount importance for autonomous driving. Nevertheless, existing driving world models still have limitations in generalization to unseen environments, prediction fidelity of c
Externí odkaz:
http://arxiv.org/abs/2405.17398
Autor:
Yang, Jiazhi, Gao, Shenyuan, Qiu, Yihang, Chen, Li, Li, Tianyu, Dai, Bo, Chitta, Kashyap, Wu, Penghao, Zeng, Jia, Luo, Ping, Zhang, Jun, Geiger, Andreas, Qiao, Yu, Li, Hongyang
In this paper, we introduce the first large-scale video prediction model in the autonomous driving discipline. To eliminate the restriction of high-cost data collection and empower the generalization ability of our model, we acquire massive data from
Externí odkaz:
http://arxiv.org/abs/2403.09630
Autor:
Zhang, Xinjie, Gao, Shenyuan, Liu, Zhening, Shao, Jiawei, Ge, Xingtong, He, Dailan, Xu, Tongda, Wang, Yan, Zhang, Jun
Existing learning-based stereo image codec adopt sophisticated transformation with simple entropy models derived from single image codecs to encode latent representations. However, those entropy models struggle to effectively capture the spatial-disp
Externí odkaz:
http://arxiv.org/abs/2403.08505
Compared with previous two-stream trackers, the recent one-stream tracking pipeline, which allows earlier interaction between the template and search region, has achieved a remarkable performance gain. However, existing one-stream trackers always let
Externí odkaz:
http://arxiv.org/abs/2303.16580
Transformer trackers have achieved impressive advancements recently, where the attention mechanism plays an important role. However, the independent correlation computation in the attention mechanism could result in noisy and ambiguous attention weig
Externí odkaz:
http://arxiv.org/abs/2207.09603
Autor:
Gao, Shenyuan, Xu, Gang, Yang, Jianhai, Lin, Peng, Jiang, Dapeng, Wang, Xiaozhong, Cai, Menglu, Dai, Liyan
Publikováno v:
In Tetrahedron 15 June 2024 159
Publikováno v:
In Engineering Applications of Artificial Intelligence March 2024 129
Publikováno v:
In Tetrahedron 16 November 2023 148
Publikováno v:
In Journal of Safety Science and Resilience September 2023 4(3):305-315
Akademický článek
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