1 code implementation • 20 Jan 2024 • Haoxiang Yang, Chengguo Yuan, Yabin Zhu, Lan Chen, Xiao Wang, Jin Tang
The mainstream human activity recognition (HAR) algorithms are developed based on RGB cameras, which are easily influenced by low-quality images (e. g., low illumination, motion blur).
no code implementations • 18 Dec 2023 • Qi Mao, Lan Chen, YuChao Gu, Zhen Fang, Mike Zheng Shou
Recent diffusion-based image editing approaches have exhibited impressive editing capabilities in images with simple compositions.
1 code implementation • 30 Nov 2023 • Dong Li, Jiandong Jin, Yuhao Zhang, Yanlin Zhong, Yaoyang Wu, Lan Chen, Xiao Wang, Bin Luo
Current methods typically employ backbone networks to individually extract the features of RGB frames and event streams, and subsequently fuse these features for pattern recognition.
1 code implementation • 17 Oct 2023 • Bo Jiang, Zitian Wang, Xixi Wang, Ziyan Zhang, Lan Chen, Xiao Wang, Bin Luo
Then, each pixel of feature map is regarded as a graph node and the graph neural network is proposed to model the structured information for coarse change map prediction.
1 code implementation • 23 Aug 2023 • Chengguo Yuan, Yu Jin, Zongzhen Wu, Fanting Wei, Yangzirui Wang, Lan Chen, Xiao Wang
Additionally, a bottleneck Transformer is introduced to facilitate the fusion of the dual-stream information.
no code implementations • 14 Apr 2023 • Lan Chen, Xi Chen, Shiyu Wu, Yaqi Yang, Meng Chang, HengShu Zhu
To this end, in this paper, we introduce a preliminary data-driven study on the future of ChatGPT-enabled labor market from the view of Human-AI Symbiosis instead of Human-AI Confrontation.
1 code implementation • 9 Nov 2022 • Zheng Lian, Mingyu Xu, Lan Chen, Licai Sun, Bin Liu, JianHua Tao
In this paper, we relax this assumption and focus on a more general problem, noisy PLL, where the ground-truth label may not exist in the candidate set.
no code implementations • 10 Jun 2022 • Xin Wang, Xiaolin Hou, Lan Chen, Yoshihisa Kishiyama, Takahiro Asai
Considering its large impact on air-interface design, it will be a candidate technology for 6th generation (6G) networks, in which an air interface designed by artificial intelligence can be used.
1 code implementation • 4 Mar 2022 • Zheng Lian, Lan Chen, Licai Sun, Bin Liu, JianHua Tao
To this end, we propose a novel framework for incomplete multimodal learning in conversations, called "Graph Complete Network (GCNet)", filling the gap of existing works.
no code implementations • 23 Feb 2021 • Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai
Moreover, as such methods only add details, they require coarse meshes to be close to fine meshes, which can be either impossible, or require unrealistic constraints when generating fine meshes.