Computer Vision for Human-Machine Interaction

By Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd. 2018

79 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

1. G. Wang
2. Jun Liu
3. Ling-yu Duan
4. Alex ChiChung Kot
5. Amir Shahroudy
6. Mauricio Perez
7. Hossein Rahmani
8. Qiuhong Ke

In Computer Vision and Pattern Recognition

1. Jun Liu
2. Alex ChiChung Kot
3. G. Wang
4. Ling-yu Duan
5. Amir Shahroudy
6. Mauricio Perez
7. Hossein Rahmani
8. Qiuhong Ke

In Human-Computer Interaction

1. Jun Liu
2. Alex ChiChung Kot
3. Ling-yu Duan
4. Amir Shahroudy
5. G. Wang
6. Mauricio Perez

Citations in the corpus

• NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding (2019, background): “Specifically, many of them have been evaluated based on the preliminary version [47] of our dataset, or pre-trained on it for transfer learning for other tasks [43], [61], [62], [63], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79].”
• Skeleton-Based Online Action Prediction Using Scale Selection Network (2019, neutral): “research domain [26], [27], and a series of hand-crafted features [28], [29], [30], [31], [32], [33], [34], [35], [36], [37] and deep learning-based approaches [18], [19], [38], [39], [40], [41], [42], [43], [44] have been proposed.”