602 citations · 2.6k across the 37 of their papers we have counts for
4 papers · 1 filter
From Trailers to Storylines: An Efficient Way to Learn from Movies
Qingqiu Huang, Yuanjun Xiong, Yu Xiong +2
The millions of movies produced in the human history are valuable resources for computer vision research. However, learning a vision model from movie data would meet with serious d…
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu, Yuanjun Xiong, Stella Yu +1
Neural net classifiers trained on data with annotated class labels can also capture apparent visual similarity among categories without being directed to do so. We study whether th…
Optimizing Video Object Detection via a Scale-Time Lattice
Kai Chen, Jiaqi Wang, Shuo Yang +4
High-performance object detection relies on expensive convolutional networks to compute features, often leading to significant challenges in applications, e.g. those that require d…
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan, Yuanjun Xiong, Dahua Lin
Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts or t…