A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences
By Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró, Isabelle M Guyon, Shohreh Kasaei, Sergio Escalera. 2017
167 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Abdenour Hadid
- Carl Vondrick
- Brahim Nini
- Yizhou Wang
- Djamila Romaissa Beddiar
- Mohammad Sabokrou
- D. Epstein
In Computer Vision and Pattern Recognition
- D. Epstein
- Mohammad Sabokrou
- Yizhou Wang
- Carl Vondrick
- Abdenour Hadid
- Xiaogang Wang
- Tingting Jiang
- Luc Van Gool
In Human-Computer Interaction
- Abdenour Hadid
- Carl Vondrick
- Brahim Nini
- Yizhou Wang
- Tingting Jiang
- Djamila Romaissa Beddiar
- Mohammad Sabokrou
- D. Epstein
Citations in the corpus
- Oops! Predicting Unintentional Action in Video (2019, background): “Most modern datasets are intended for discriminating between human activities to perform action classification and localization [46, 69, 2, 10, 26, 26, 4, 76].”
- Vision-based human activity recognition: a survey (2020, background): “Reviews on deep-learning based methods of human activities recognition were provided in [16, 132, 210, 225].”
- BAT: Deep Learning Methods on Network Intrusion Detection Using NSL-KDD Dataset (2020, background): “With the superior performance of deep learning in image recognition [23], [24] and speech recognition [25], [26], traffic anomaly detection methods based on deep learning have been proposed.”
- Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization (2019, background): “Please refer to recent surveys [1, 3, 22, 19] for a detailed review.”