1 code implementation • ICCV 2023 • Zhexiong Wan, Yuxin Mao, Jing Zhang, Yuchao Dai
Recently, the RGB images and point clouds fusion methods have been proposed to jointly estimate 2D optical flow and 3D scene flow.
1 code implementation • CVPR 2023 • Bin Fan, Yuxin Mao, Yuchao Dai, Zhexiong Wan, Qi Liu
Rolling shutter correction (RSC) is becoming increasingly popular for RS cameras that are widely used in commercial and industrial applications.
1 code implementation • 16 Nov 2022 • Zhexiong Wan, Yuchao Dai, Yuxin Mao
In this paper, we propose a novel deep learning-based dense and continuous optical flow estimation framework from a single image with event streams, which facilitates the accurate perception of high-speed motion.
no code implementations • 13 Oct 2022 • Yuxin Mao, Zhexiong Wan, Yuchao Dai, Xin Yu
Single image blind deblurring is highly ill-posed as neither the latent sharp image nor the blur kernel is known.
2 code implementations • 20 Apr 2021 • Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes
For the former, we apply transformer to a deterministic model, and explain that the effective structure modeling and global context modeling abilities lead to its superior performance compared with the CNN based frameworks.
no code implementations • 14 Sep 2020 • Zhexiong Wan, Yuxin Mao, Yuchao Dai
Optical flow estimation is an important computer vision task, which aims at estimating the dense correspondences between two frames.