no code implementations • 16 Jul 2020 • Ruichao Xiao, Manish Kumar Singh, Rose Yu
Neural relational inference (NRI) is a deep generative model that can reason about relations in complex dynamics without supervision.
1 code implementation • 26 Sep 2018 • Ruichao Xiao, Wenxiu Sun, Jiahao Pang, Qiong Yan, Jimmy Ren
Our method is evaluated on both real-istic and synthetic stereo image pairs, and produces supe-rior results compared to the calibrated rectification or otherself-rectification approaches
no code implementations • 25 Sep 2018 • Ruichao Xiao, Wenxiu Sun, Chengxi Yang
Intuitively, the vari-ance in the Laplacian distribution is large for low confidentpixels while small for high-confidence pixels.
1 code implementation • CVPR 2018 • Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy Ren, Ruichao Xiao, Jin Zeng, Liang Lin
By feeding real stereo pairs of different domains to stereo models pre-trained with synthetic data, we see that: i) a pre-trained model does not generalize well to the new domain, producing artifacts at boundaries and ill-posed regions; however, ii) feeding an up-sampled stereo pair leads to a disparity map with extra details.