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20172020
most citedOrthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

90 citations · 188 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2020

Novel View Synthesis from only a 6-DoF Camera Pose by Two-stage Networks

Xiang Guo, Bo Li, Yuchao Dai +2

Novel view synthesis is a challenging problem in computer vision and robotics. Different from the existing works, which need the reference images or 3D models of the scene to gener…

cs.CV2019★ 18 cited

MVS^2: Deep Unsupervised Multi-view Stereo with Multi-View Symmetry

Yuchao Dai, Zhidong Zhu, Zhibo Rao +1

The success of existing deep-learning based multi-view stereo (MVS) approaches greatly depends on the availability of large-scale supervision in the form of dense depth maps. Such…

cs.CV2019★ 1 cited

MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity Map for Stereo Matching

Zhibo Rao, Mingyi He, Yuchao Dai +3

Disparity prediction from stereo images is essential to computer vision applications including autonomous driving, 3D model reconstruction, and object detection. To predict accurat…

cs.LG2017★ 90 cited

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

Lei Huang, Xianglong Liu, Bo Lang +3

Orthogonal matrix has shown advantages in training Recurrent Neural Networks (RNNs), but such matrix is limited to be square for the hidden-to-hidden transformation in RNNs. In thi…

cs.CV2017★ 18 cited

Single image depth estimation by dilated deep residual convolutional neural network and soft-weight-sum inference

Bo Li, Yuchao Dai, Huahui Chen +1

This paper proposes a new residual convolutional neural network (CNN) architecture for single image depth estimation. Compared with existing deep CNN based methods, our method achi…

cs.CV2017★ 10 cited

Skeleton Boxes: Solving skeleton based action detection with a single deep convolutional neural network

Bo Li, Huahui Chen, Yucheng Chen +2

Action recognition from well-segmented 3D skeleton video has been intensively studied. However, due to the difficulty in representing the 3D skeleton video and the lack of training…

cs.CV2017★ 51 cited

Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn

Bo Li, Mingyi He, Xuelian Cheng +2

This paper presents an image classification based approach for skeleton-based video action recognition problem. Firstly, A dataset independent translation-scale invariant image map…