142 citations · 605 across the 25 of their papers we have counts for
3 papers · 1 filter
Discovering Spatio-Temporal Action Tubes
Yuancheng Ye, Xiaodong Yang, Yingli Tian
In this paper, we address the challenging problem of spatial and temporal action detection in videos. We first develop an effective approach to localize frame-level action regions…
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction
Longlong Jing, Xiaodong Yang, Jingen Liu +1
The success of deep neural networks generally requires a vast amount of training data to be labeled, which is expensive and unfeasible in scale, especially for video collections. T…
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
Deqing Sun, Xiaodong Yang, Ming-Yu Liu +1
We investigate two crucial and closely related aspects of CNNs for optical flow estimation: models and training. First, we design a compact but effective CNN model, called PWC-Net,…