![](/project/tslstm/featured_hu689fc9b909e4b0691b5d5cf7d2c6ad61_186098_720x0_resize_lanczos_2.png)
![Min-Hung Chen](/author/min-hung-chen/avatar_huc3acf39b4c2265ec309e042ecb270b7c_902720_270x270_fill_lanczos_center_2.png)
Related
- Temporal Attentive Alignment for Video Domain Adaptation
- TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition
- Action Segmentation with Temporal Domain Adaptation
- Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras
- Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
Publications
TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition
[SPIC 2019] Simple but effective CNN- and RNN-based approaches to exploit temporal dynamics for videos.