Concepedia

Few-frame Action Recognition

Few-Frame Action Recognition is an action recognition paradigm that focuses on identifying human actions from video sequences consisting of a minimal number of frames, typically significantly fewer than those used in standard video-based methods, thereby emphasizing efficient temporal sampling and robust feature extraction under severe frame scarcity.

48

Publications

3K

Citations

211

Authors

84

Institutions

Publications per year

2017–2026

46

Parents

Publications

48

Action snippets: How many frames does human action recognition require?

Luc van Gool · 2008 · 530 citations

, , +13

Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs

Jingwei Ji, Ranjay Krishna, Li Fei-Fei et al. · 2020 · 285 citations

, , +16

Spatio-temporal Relation Modeling for Few-shot Action Recognition

Anirudh Thatipelli, Sanath Narayan, Salman Khan et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 147 citations

, , +16

Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition

Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu et al. · IEEE Transactions on Circuits and Systems for Video Technology · 2016 · 127 citations

, , +13

Hybrid Relation Guided Set Matching for Few-shot Action Recognition

Xiang Wang, Shiwei Zhang, Zhiwu Qing et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 127 citations

, , +13

1–5 of 48

Authors

211

  1. CG
    Changxin Gao

    Huazhong University of Science and Technology, China

    4 publications · 338 citations

    4

    h-index

  2. XW
    Xiang Wang

    Huazhong University of Science and Technology, China

    4 publications · 338 citations

    4

    h-index

  3. NS
    Nong Sang

    Huazhong University of Science and Technology, China

    4 publications · 338 citations

    4

    h-index

  4. ZQ
    Zhiwu Qing

    Huazhong University of Science and Technology, China

    3 publications · 264 citations

    3

    h-index

  5. YJ
    Yu–Gang Jiang

    Fudan University, China

    2 publications · 125 citations

    2

    h-index

1–5 of 211

Institutions

84

  1. Australian National University

    Canberra, Australia

    4 h-index

    11 publications

    637 citations

  2. Huazhong University of Science and Technology

    Wuhan, China

    4 h-index

    17 publications

    1.4K citations

  3. Australian Centre for Robotic Vision

    Brisbane, Australia

    3 h-index

    7 publications

    415 citations

  4. Data61

    Sydney, Australia

    3 h-index

    3 publications

    146 citations

  5. Commonwealth Scientific and Industrial Research Organisation

    Canberra, Australia

    3 h-index

    3 publications

    146 citations

  6. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    8 publications

    283 citations

  7. Tencent (China)

    Shenzhen, China

    3 h-index

    10 publications

    299 citations

  8. Nanjing University

    Nanjing, China

    3 h-index

    4 publications

    150 citations

1–8 of 84

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 251 citations

    8

    h-index

  2. 4

    h-index

  3. 3

    h-index

  4. Computer Vision and Image Understanding

    CVIU · 2 publications · 57 citations

    2

    h-index

  5. Pattern Recognition

    2 publications · 94 citations

    2

    h-index

1–5