202 citations · 204 across the 4 of their papers we have counts for
4 papers
UFD-PRiME: Unsupervised Joint Learning of Optical Flow and Stereo Depth through Pixel-Level Rigid Motion Estimation
Shuai Yuan, Carlo Tomasi
Both optical flow and stereo disparities are image matches and can therefore benefit from joint training. Depth and 3D motion provide geometric rather than photometric information…
Unsupervised Flow Refinement near Motion Boundaries
Shuzhi Yu, Hannah Halin Kim, Shuai Yuan +1
Unsupervised optical flow estimators based on deep learning have attracted increasing attention due to the cost and difficulty of annotating for ground truth. Although performance…
Cross-Attention Transformer for Video Interpolation
Hannah Halin Kim, Shuzhi Yu, Shuai Yuan +1
We propose TAIN (Transformers and Attention for video INterpolation), a residual neural network for video interpolation, which aims to interpolate an intermediate frame given two c…
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani, Francesco Solera, Roger S. Zou +2
To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pair of precision-recall measures of performance that treats errors of all types un…