This document discusses two papers related to neural networks and video understanding. The first paper proposes a non-local neural network that uses a pairwise function to model long-range dependencies. The second paper presents TVNet, which uses an end-to-end learning approach with a TV-L1 algorithm to learn motion representations for video understanding tasks. Experiments are conducted to evaluate the proposed methods.

1. Non-Local Neural Network
Wang Xiaolong

2. Non-Local

3. Pairwise function

4. Non-local Block

7. End-to-End Learning of Motion
Representation for Video Understanding
Lijie Fan , Wenbing Huang
Tencent AI Lab, Tsinghua University

8. TV-L1 Alg

9. TVNet Motivation

10. Net Arch

11. Experiment

12. Experiment

13. Experiment