1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2020
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing
Yajie Xing, Jingbo Wang, Gang Zeng
Depth data provide geometric information that can bring progress in RGB-D scene parsing tasks. Several recent works propose RGB-D convolution operators that construct receptive fie…
cs.CV2017★ 1 cited
Orthogonal and Idempotent Transformations for Learning Deep Neural Networks
Jingdong Wang, Yajie Xing, Kexin Zhang +1
Identity transformations, used as skip-connections in residual networks, directly connect convolutional layers close to the input and those close to the output in deep neural netwo…