441 citations · 2.5k across the 54 of their papers we have counts for
12 papers · 1 filter
TDN: Temporal Difference Networks for Efficient Action Recognition
Limin Wang, Zhan Tong, Bin Ji +1
Temporal modeling still remains challenging for action recognition in videos. To mitigate this issue, this paper presents a new video architecture, termed as Temporal Difference Ne…
Finding Action Tubes with a Sparse-to-Dense Framework
Yuxi Li, Weiyao Lin, Tao Wang +5
The task of spatial-temporal action detection has attracted increasing attention among researchers. Existing dominant methods solve this problem by relying on short-term informatio…
Context-Aware RCNN: A Baseline for Action Detection in Videos
Jianchao Wu, Zhanghui Kuang, Limin Wang +2
Video action detection approaches usually conduct actor-centric action recognition over RoI-pooled features following the standard pipeline of Faster-RCNN. In this work, we first e…
Dynamic Sampling Networks for Efficient Action Recognition in Videos
Yin-Dong Zheng, Zhaoyang Liu, Tong Lu +1
The existing action recognition methods are mainly based on clip-level classifiers such as two-stream CNNs or 3D CNNs, which are trained from the randomly selected clips and applie…
TAM: Temporal Adaptive Module for Video Recognition
Zhaoyang Liu, Limin Wang, Wayne Wu +2
Video data is with complex temporal dynamics due to various factors such as camera motion, speed variation, and different activities. To effectively capture this diverse motion pat…
SketchyCOCO: Image Generation from Freehand Scene Sketches
Chengying Gao, Qi Liu, Qi Xu +3
We introduce the first method for automatic image generation from scene-level freehand sketches. Our model allows for controllable image generation by specifying the synthesis goal…