Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Wang, Hanyi"'
Autor:
Ding, Henghui, Hong, Lingyi, Liu, Chang, Xu, Ning, Yang, Linjie, Fan, Yuchen, Miao, Deshui, Gu, Yameng, Li, Xin, He, Zhenyu, Wang, Yaowei, Yang, Ming-Hsuan, Chai, Jinming, Ma, Qin, Zhang, Junpei, Jiao, Licheng, Liu, Fang, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Liu, Xu, Li, LingLing, Fang, Hao, Pan, Feiyu, Lu, Xiankai, Zhang, Wei, Cong, Runmin, Tran, Tuyen, Cao, Bin, Zhang, Yisi, Wang, Hanyi, He, Xingjian, Liu, Jing
Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th Large-scale Video Object Segmentation (LSVOS) challenge in conjunction
Externí odkaz:
http://arxiv.org/abs/2409.05847
Referring Video Object Segmentation is an emerging multi-modal task that aims to segment objects in the video given a natural language expression. In this work, we build two instance-centric models and fuse predicted results from frame-level and inst
Externí odkaz:
http://arxiv.org/abs/2408.10541
Generative models have shown a giant leap in synthesizing photo-realistic images with minimal expertise, sparking concerns about the authenticity of online information. This study aims to develop a universal AI-generated image detector capable of ide
Externí odkaz:
http://arxiv.org/abs/2404.04883
Autor:
Sun, Yuqian, Wang, Hanyi, Chan, Pok Man, Tabibi, Morteza, Zhang, Yan, Lu, Huan, Chen, Yuheng, Lee, Chang Hee, Asadipour, Ali
We address the integration of storytelling and Large Language Models (LLMs) to develop engaging and believable Social Chatbots (SCs) in community settings. Motivated by the potential of fictional characters to enhance social interactions, we introduc
Externí odkaz:
http://arxiv.org/abs/2309.11478
Autor:
Wang, Hanyi1,2 (AUTHOR), Wei, Rongchang3 (AUTHOR), Wei, Youjing1 (AUTHOR), Su, Jiali1 (AUTHOR), Xu, Jiajia1 (AUTHOR), Yao, Maoxiao1 (AUTHOR), Tian, Dongna1 (AUTHOR), Zhou, Hao1 (AUTHOR) zhouhao@gxmzu.edu.cn
Publikováno v:
Scientific Reports. 11/6/2024, Vol. 14 Issue 1, p1-13. 13p.
Autor:
Gao, Xinyu1,2 (AUTHOR) gao-xy23@mails.tsinghua.edu.cn, Wang, Hanyi1,3 (AUTHOR) why19947680622@163.com, Chen, Kuilin1,2 (AUTHOR) ckl23@mails.tsinghua.edu.cn, Guo, Yifan1,3 (AUTHOR) guo-yf23@mails.tsinghua.edu.cn, Zhou, Jin4 (AUTHOR) zhou.jin@sz.tsinghua.edu.cn, Xie, Weidong1,3 (AUTHOR) zhou.jin@sz.tsinghua.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9194. 23p.
As ultra-realistic face forgery techniques emerge, deepfake detection has attracted increasing attention due to security concerns. Many detectors cannot achieve accurate results when detecting unseen manipulations despite excellent performance on kno
Externí odkaz:
http://arxiv.org/abs/2211.03346
Publikováno v:
In International Journal of Rock Mechanics and Mining Sciences November 2024 183
Autor:
Hu, ZhiWen, Wang, HanYi
Publikováno v:
In Geoenergy Science and Engineering November 2024 242
Publikováno v:
In Chemical Engineering Journal 15 October 2024 498