24 citations · 106 across the 26 of their papers we have counts for
4 papers · 1 filter
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM
Bingbing Zhuang, Quoc-Huy Tran, Pan Ji +3
Self-calibration of camera intrinsics and radial distortion has a long history of research in the computer vision community. However, it remains rare to see real applications of su…
Neural Collaborative Subspace Clustering
Tong Zhang, Pan Ji, Mehrtash Harandi +2
We introduce the Neural Collaborative Subspace Clustering, a neural model that discovers clusters of data points drawn from a union of low-dimensional subspaces. In contrast to pre…
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
Xuelian Cheng, Yiran Zhong, Yuchao Dai +2
In this paper, we present LidarStereoNet, the first unsupervised Lidar-stereo fusion network, which can be trained in an end-to-end manner without the need of ground truth depth ma…
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
Yiran Zhong, Pan Ji, Jianyuan Wang +2
Unsupervised deep learning for optical flow computation has achieved promising results. Most existing deep-net based methods rely on image brightness consistency and local smoothne…