GTA: Global Temporal Attention for Video Action Understanding

GTA: Global Temporal Attention for Video Action Understanding

15 December 2020

Zuxuan Wu

Hao Chen

Ser-Nam Lim

Abhinav Shrivastava

Papers citing "GTA: Global Temporal Attention for Video Action Understanding"

9 / 9 papers shown

Title
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Xi Li CVBM 21 31 0 06 Jun 2023
Align and Attend: Multimodal Summarization with Dual Contrastive Losses Bo He Jun Wang Jielin Qiu Trung Bui Abhinav Shrivastava Zhaowen Wang 20 65 0 13 Mar 2023
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition Tomoya Nitta Tsubasa Hirakawa H. Fujiyoshi Toru Tamaki 50 0 0 27 Jul 2022
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization Bo He Xitong Yang Le Kang Zhiyu Cheng Xingfa Zhou Abhinav Shrivastava 18 77 0 29 Mar 2022
M2A: Motion Aware Attention for Accurate Video Action Recognition Brennan Gebotys Alexander Wong David A Clausi 19 3 0 18 Nov 2021
Temporal-attentive Covariance Pooling Networks for Video Recognition Zilin Gao Qilong Wang Bingbing Zhang Q. Hu P. Li 13 24 0 27 Oct 2021
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection Xin Zhou Le Kang Zhiyu Cheng Bo He Jingyu Xin 28 34 0 28 Jun 2021
Graph-Based Global Reasoning Networks Yunpeng Chen Marcus Rohrbach Zhicheng Yan Shuicheng Yan Jiashi Feng Yannis Kalantidis GNN NAI 266 457 0 30 Nov 2018
ECO: Efficient Convolutional Network for Online Video Understanding Mohammadreza Zolfaghari Kamaljeet Singh Thomas Brox 119 496 0 24 Apr 2018