Výsledky vyhledávání - "Chen, Zhirong"

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Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation

Autor: Chang, Kaiyan, Chen, Zhirong, Zhou, Yunhao, Zhu, Wenlong, wang, kun, Xu, Haobo, Li, Cangyuan, Wang, Mengdi, Liang, Shengwen, Li, Huawei, Han, Yinhe, Wang, Ying

Natural language interfaces have exhibited considerable potential in the automation of Verilog generation derived from high-level specifications through the utilization of large language models, garnering significant attention. Nevertheless, this pap

Externí odkaz: http://arxiv.org/abs/2407.08473

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Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework

Autor: Chang, Kaiyan, Wang, Kun, Yang, Nan, Wang, Ying, Jin, Dantong, Zhu, Wenlong, Chen, Zhirong, Li, Cangyuan, Yan, Hao, Zhou, Yunhao, Zhao, Zhuoliang, Cheng, Yuan, Pan, Yudong, Liu, Yiqi, Wang, Mengdi, Liang, Shengwen, Han, Yinhe, Li, Huawei, Li, Xiaowei

Recent advances in large language models have demonstrated their potential for automated generation of hardware description language (HDL) code from high-level prompts. Researchers have utilized fine-tuning to enhance the ability of these large langu

Externí odkaz: http://arxiv.org/abs/2403.11202

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CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention

Autor: Bai, Yifeng, Chen, Zhirong, Liang, Pengpeng, Cheng, Erkang

In autonomous driving, 3D lane detection using monocular cameras is an important task for various downstream planning and control tasks. Recent CNN and Transformer approaches usually apply a two-stage scheme in the model design. The first stage trans

Externí odkaz: http://arxiv.org/abs/2402.06423

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CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention

Autor: Bai, Yifeng, Chen, Zhirong, Fu, Zhangjie, Peng, Lang, Liang, Pengpeng, Cheng, Erkang

3D lane detection is an integral part of autonomous driving systems. Previous CNN and Transformer-based methods usually first generate a bird's-eye-view (BEV) feature map from the front view image, and then use a sub-network with BEV feature map as i

Externí odkaz: http://arxiv.org/abs/2209.07989

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BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs

Autor: Peng, Lang, Chen, Zhirong, Fu, Zhangjie, Liang, Pengpeng, Cheng, Erkang

Semantic segmentation in bird's eye view (BEV) is an important task for autonomous driving. Though this task has attracted a large amount of research efforts, it is still challenging to flexibly cope with arbitrary (single or multiple) camera sensors

Externí odkaz: http://arxiv.org/abs/2203.04050

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