activity
20162023
most citedSpatiotemporal Residual Networks for Video Action Recognition

493 citations · 548 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20232 cited

StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos

Nikita Dvornik, Isma Hadji, Ran Zhang +4

Instructional videos are an important resource to learn procedural tasks from human demonstrations. However, the instruction steps in such videos are typically short and sparse, wi…

cs.CV20221 cited

Sports Video Analysis on Large-Scale Data

Dekun Wu, He Zhao, Xingce Bao +1

This paper investigates the modeling of automated machine description on sports video, which has seen much progress recently. Nevertheless, state-of-the-art approaches fall quite s…

cs.CV2022

Is Appearance Free Action Recognition Possible?

Filip Ilic, Thomas Pock, Richard P. Wildes

Intuition might suggest that motion and dynamic information are key to video-based action recognition. In contrast, there is evidence that state-of-the-art deep-learning video unde…

cs.CV2016493 cited

Spatiotemporal Residual Networks for Video Action Recognition

Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes

Two-stream Convolutional Networks (ConvNets) have shown strong performance for human action recognition in videos. Recently, Residual Networks (ResNets) have arisen as a new techni…

cs.CV201652 cited

Review of Action Recognition and Detection Methods

Soo Min Kang, Richard P. Wildes

In computer vision, action recognition refers to the act of classifying an action that is present in a given video and action detection involves locating actions of interest in spa…