1 code implementation • 28 Dec 2023 • Shanglin Li, Bohan Zeng, Yutang Feng, Sicheng Gao, Xuhui Liu, Jiaming Liu, Li Lin, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang
We then propose a Region-IoU scheme for precise image layer extraction from an off-the-shelf segment model.
1 code implementation • 22 Dec 2023 • Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann
Federated learning (FL) is a machine learning paradigm in which distributed local nodes collaboratively train a central model without sharing individually held private data.
1 code implementation • 9 Oct 2023 • Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Hong Li, Sicheng Gao, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng Yan
However, the appearance of 3D objects produced by these text-to-3D models is unpredictable, and it is hard for the single-image-to-3D methods to deal with complex images, thus posing a challenge in generating appearance-controllable 3D objects.
1 code implementation • 17 May 2023 • Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, XiaoLong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang
Brain signal visualization has emerged as an active research area, serving as a critical interface between the human visual system and computer vision models.