activity
20152023
most citedVideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

441 citations · 2.5k across the 54 of their papers we have counts for

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Showing 2020Show all

12 papers · 1 filter

cs.CV2020★ 25 cited

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…

cs.CV2020

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…

cs.CV2020★ 4 cited

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…

cs.CV2020★ 86 cited

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…

cs.CV2020

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…

cs.CV2020★ 6 cited

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…