no code implementations • 20 Mar 2024 • Ningyi Liao, Zihao Yu, Siqiang Luo
Graph Neural Networks (GNNs) have shown promising performance in various graph learning tasks, but at the cost of resource-intensive computations.
no code implementations • 16 Jan 2024 • Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen
Furthermore, a temporal transformer is utilized for spatiotemporal feature fusion across the video.
1 code implementation • 27 May 2023 • Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui
The key intuition behind our approach is to utilize the semantic mapping between the minor modifications on the input text and the affected regions on the output image.
no code implementations • 28 Jan 2023 • Yu Chen, Zihao Yu, Shu Song, Tianning Yu, Jianming Li, Gim Hee Lee
Despite the impressive results achieved by many existing Structure from Motion (SfM) approaches, there is still a need to improve the robustness, accuracy, and efficiency on large-scale scenes with many outlier matches and sparse view graphs.