Zobrazeno 1 - 10
of 5 297
pro vyhledávání: '"LUO, Cheng"'
Autor:
He, Xilin, Luo, Cheng, Xian, Xiaole, Li, Bing, Song, Siyang, Khan, Muhammad Haris, Xie, Weicheng, Shen, Linlin, Ge, Zongyuan
Facial expression datasets remain limited in scale due to privacy concerns, the subjectivity of annotations, and the labor-intensive nature of data collection. This limitation poses a significant challenge for developing modern deep learning-based fa
Externí odkaz:
http://arxiv.org/abs/2410.09865
Autor:
Zhu, Jian, Sheng, Mingkai, Huang, Zhangmin, Chang, Jingfei, Jiang, Jinling, Long, Jian, Luo, Cheng, Liu, Lei
Multi-modal hashing methods are widely used in multimedia retrieval, which can fuse multi-source data to generate binary hash code. However, the individual backbone networks have limited feature expression capabilities and are not jointly pre-trained
Externí odkaz:
http://arxiv.org/abs/2410.07783
In this letter, we investigate the design of multiple reconfigurable intelligent sensing surfaces (RISSs) that enhance both communication and sensing tasks. An RISS incorporates additional active elements tailored to improve sensing accuracy. Our ini
Externí odkaz:
http://arxiv.org/abs/2409.06188
Schizophrenia is a serious psychiatric disorder. Its pathogenesis is not completely clear, making it difficult to treat patients precisely. Because of the complicated non-Euclidean network structure of the human brain, learning critical information f
Externí odkaz:
http://arxiv.org/abs/2408.13830
We introduce Mini-Sequence Transformer (MsT), a simple and effective methodology for highly efficient and accurate LLM training with extremely long sequences. MsT partitions input sequences and iteratively processes mini-sequences to reduce intermedi
Externí odkaz:
http://arxiv.org/abs/2407.15892
Autor:
Wang, Changyue, Su, Weihang, Yiran, Hu, Ai, Qingyao, Wu, Yueyue, Luo, Cheng, Liu, Yiqun, Zhang, Min, Ma, Shaoping
Recent advances in Large Language Models (LLMs) have significantly shaped the applications of AI in multiple fields, including the studies of legal intelligence. Trained on extensive legal texts, including statutes and legal documents, the legal LLMs
Externí odkaz:
http://arxiv.org/abs/2407.14192
Let $\Delta_\kappa$ be the Dunkl Laplacian on $\mathbb{R}^n$ and $\phi: \mathbb{R}^+ \to \mathbb{R}$ is a smooth function. The aim of this manuscript is twofold. First, we study the decay estimate for a class of dispersive semigroup of the form $e^{i
Externí odkaz:
http://arxiv.org/abs/2407.06949
Autor:
Shu, Zixin, Hua, Rui, Yan, Dengying, Lu, Chenxia, Xu, Ning, Li, Jun, Zhu, Hui, Zhang, Jia, Zhao, Dan, Hui, Chenyang, Ye, Junqiu, Liao, Chu, Hao, Qi, Ye, Wen, Luo, Cheng, Wang, Xinyan, Cheng, Chuang, Li, Xiaodong, Liu, Baoyan, Zhou, Xiaji, Zhang, Runshun, Xu, Min, Zhou, Xuezhong
Symptom phenotypes are one of the key types of manifestations for diagnosis and treatment of various disease conditions. However, the diversity of symptom terminologies is one of the major obstacles hindering the analysis and knowledge sharing of var
Externí odkaz:
http://arxiv.org/abs/2407.12851
Vision-language foundation models like CLIP have shown impressive zero-shot generalization, but finetuning on downstream datasets can cause overfitting and loss of its generalization ability on unseen domains. Although collecting additional data from
Externí odkaz:
http://arxiv.org/abs/2405.02586
Autor:
Li, Xin, Yuan, Kun, Pei, Yajing, Lu, Yiting, Sun, Ming, Zhou, Chao, Chen, Zhibo, Timofte, Radu, Sun, Wei, Wu, Haoning, Zhang, Zicheng, Jia, Jun, Zhang, Zhichao, Cao, Linhan, Chen, Qiubo, Min, Xiongkuo, Lin, Weisi, Zhai, Guangtao, Sun, Jianhui, Wang, Tianyi, Li, Lei, Kong, Han, Wang, Wenxuan, Li, Bing, Luo, Cheng, Wang, Haiqiang, Chen, Xiangguang, Meng, Wenhui, Pan, Xiang, Shi, Huiying, Zhu, Han, Xu, Xiaozhong, Sun, Lei, Chen, Zhenzhong, Liu, Shan, Kong, Fangyuan, Fan, Haotian, Xu, Yifang, Xu, Haoran, Yang, Mengduo, Zhou, Jie, Li, Jiaze, Wen, Shijie, Xu, Mai, Li, Da, Yao, Shunyu, Du, Jiazhi, Zuo, Wangmeng, Li, Zhibo, He, Shuai, Ming, Anlong, Fu, Huiyuan, Ma, Huadong, Wu, Yong, Xue, Fie, Zhao, Guozhi, Du, Lina, Guo, Jie, Zhang, Yu, Zheng, Huimin, Chen, Junhao, Liu, Yue, Zhou, Dulan, Xu, Kele, Xu, Qisheng, Sun, Tao, Ding, Zhixiang, Hu, Yuhang
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i.e., Kuaishou/Kwai
Externí odkaz:
http://arxiv.org/abs/2404.11313