Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Ao Li

Ao Li

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

Nov 07, 2022
Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He

Figure 1 for Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

Figure 2 for Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

Figure 3 for Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

Figure 4 for Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

* arXiv admin note: text overlap with arXiv:2105.07825, arXiv:2105.08826, arXiv:2211.04470, arXiv:2211.03885, arXiv:2211.05256

Access Paper or Ask Questions

Deep Domain Adaptation for Pavement Crack Detection

Nov 19, 2021
Huijun Liu, Chunhua Yang, Ao Li, Yongxin Ge, Sheng Huang, Xin Feng, Zhimin Ruan

Figure 1 for Deep Domain Adaptation for Pavement Crack Detection

Figure 2 for Deep Domain Adaptation for Pavement Crack Detection

Figure 3 for Deep Domain Adaptation for Pavement Crack Detection

Figure 4 for Deep Domain Adaptation for Pavement Crack Detection

* 12 pages, 10 figures

Access Paper or Ask Questions

Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs

Aug 05, 2020
Xiaozheng Jian, Jianqiu Lu, Zexi Yuan, Ao Li

Figure 1 for Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs

Figure 2 for Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs

Figure 3 for Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs

Figure 4 for Fast top-K Cosine Similarity Search through XOR-Friendly Binary Quantization on GPUs

* 10 pages, 6 figures

Access Paper or Ask Questions

Multiple criteria decision-making for lane-change model

Oct 22, 2019
Ao Li, Liting Sun, Wei Zhan, Masayoshi Tomizuka

Figure 1 for Multiple criteria decision-making for lane-change model

Figure 2 for Multiple criteria decision-making for lane-change model

Figure 3 for Multiple criteria decision-making for lane-change model

Figure 4 for Multiple criteria decision-making for lane-change model

* Submitted to ICRA 2020

Access Paper or Ask Questions

Spam Review Detection with Graph Convolutional Networks

Aug 22, 2019
Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li

Figure 1 for Spam Review Detection with Graph Convolutional Networks

Figure 2 for Spam Review Detection with Graph Convolutional Networks

Figure 3 for Spam Review Detection with Graph Convolutional Networks

Figure 4 for Spam Review Detection with Graph Convolutional Networks

* Accepted at CIKM 2019

Access Paper or Ask Questions