447 citations · 915 across the 26 of their papers we have counts for
4 papers · 1 filter
Coarse-to-fine Semantic Segmentation from Image-level Labels
Longlong Jing, Yucheng Chen, Yingli Tian
Deep neural network-based semantic segmentation generally requires large-scale cost extensive annotations for training to obtain better performance. To avoid pixel-wise segmentatio…
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…
Incremental Scene Synthesis
Benjamin Planche, Xuejian Rong, Ziyan Wu +5
We present a method to incrementally generate complete 2D or 3D scenes with the following properties: (a) it is globally consistent at each step according to a learned scene prior,…
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…