1 code implementation • CVPR 2023 • Chen Ziwen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alex Schwing, Alex Colburn, Li Fuxin
To achieve this, we propose AutoFocusFormer (AFF), a local-attention transformer image recognition backbone, which performs adaptive downsampling by learning to retain the most important pixels for the task.
Ranked #4 on Instance Segmentation on Cityscapes val
1 code implementation • 18 Feb 2021 • Chen Ziwen, Zixuan Guo, Jerod Weinman
Given stereo or egomotion image pairs, a popular and successful method for unsupervised learning of monocular depth estimation is to measure the quality of image reconstructions resulting from the learned depth predictions.
1 code implementation • 23 Nov 2019 • Chen Ziwen, Wenxuan Wu, Zhongang Qi, Li Fuxin
In this paper, we propose a novel approach to visualize features important to the point cloud classifiers.