MGSampler: An Explainable Sampling Strategy for Video Action Recognition

MGSampler: An Explainable Sampling Strategy for Video Action Recognition

20 April 2021

Gangshan Wu

Papers citing "MGSampler: An Explainable Sampling Strategy for Video Action Recognition"

10 / 10 papers shown

Title
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation Zhiwu Qing Shiwei Zhang Jiayu Wang Xiang Wang Yujie Wei Yingya Zhang Changxin Gao Nong Sang VGen DiffM 24 37 0 07 Dec 2023
MGMAE: Motion Guided Masking for Video Masked Autoencoding Bingkun Huang Zhiyu Zhao Guozhen Zhang Yu Qiao Limin Wang 22 29 0 21 Aug 2023
Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration Harry Cheng Yangyang Guo Liqiang Nie Zhiyong Cheng Mohan S. Kankanhalli 17 7 0 27 Jul 2023
Efficient Video Action Detection with Token Dropout and Context Refinement Lei Chen Zhan Tong Yibing Song Gangshan Wu Limin Wang 21 14 0 17 Apr 2023
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action Recognition Ruiqi Xian Xijun Wang Dinesh Manocha 10 8 0 05 Mar 2023
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection Jing Tan Yuhong Wang Gangshan Wu Limin Wang 39 14 0 01 Mar 2022
MVFNet: Multi-View Fusion Network for Efficient Video Recognition Wenhao Wu Dongliang He Tianwei Lin Fu Li Chuang Gan Errui Ding 87 68 0 13 Dec 2020
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition Chenxu Luo Alan Yuille 113 149 0 28 Sep 2019
AdaFrame: Adaptive Frame Selection for Fast Video Recognition Zuxuan Wu Caiming Xiong Chih-Yao Ma R. Socher L. Davis 110 194 0 29 Nov 2018
ECO: Efficient Convolutional Network for Online Video Understanding Mohammadreza Zolfaghari Kamaljeet Singh Thomas Brox 119 495 0 24 Apr 2018