Qiuhong Ke

Learning latent global network for Skeleton-based action prediction

Qiuhong Ke, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaid

Journal article  |  2020  |  IEEE Transactions on Image Processing

Human actions represented with 3D skeleton sequences are robust to clustered backgrounds and illumination changes. In this paper, ..

Time-conditioned action anticipation in one shot

Q Ke, M Fritz, B Schiele

Conference Proceedings  |  2019  |  2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Time-Conditioned Action Anticipation in One Shot

Qiuhong Ke, Mario Fritz, Bernt Schiele

Conference Proceedings  |  2019  |  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

The goal of human action anticipation is to predict future actions. Ideally, in real-world applications such as video surveillance..

Identity Adaptation for Person Re-Identification

Q Ke, M Bennamoun, H Rahmani, S An, F Sohel, F Boussaid

Journal article  |  2018  |  IEEE Access

Person re-identification (re-ID), which aims to identify the same individual from a gallery collected with different cameras, has ..

Leveraging structural context models and ranking score fusion for human interaction prediction

Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid

Journal article  |  2018  |  IEEE Transactions on Multimedia

Predicting an interaction before it is fully executed is very important in applications, such as human-robot interaction and video..

Learning clip representations for skeleton-based 3D action recognition

Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid

Journal article  |  2018  |  IEEE Transactions on Image Processing

This paper presents a new representation of skeleton sequences for 3D action recognition. Existing methods based on hand-crafted f..

Computer vision for human–machine interaction

Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid

Book Chapter  |  2018

Human–machine interaction (HMI) refers to the communication and interaction between a human and a machine via a user interface. No..

Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition

Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaid

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

In this paper, we propose a new approach to recognize the class label of an action before this action is fully performed based on ..

A new representation of skeleton sequences for 3D action recognition

Q Ke, M Bennamoun, S An, F Sohel, F Boussaid

Conference Proceedings  |  2017  |  2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

SkeletonNet: Mining Deep Part Features for 3-D Action Recognition

Q Ke, S An, M Bennamoun, F Sohel, F Boussaid

Journal article  |  2017  |  IEEE signal processing letters

A new representation of skeleton sequences for 3d action recognition

Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid

Conference Proceedings  |  2017  |  Proceedings of the IEEE conference on computer vision and pattern recognition

Human interaction prediction using deep temporal features

Q Ke, M Bennamoun, S An, F Boussaid, F Sohel

Conference Proceedings  |  2016  |  European Conference on Computer Vision Workshops

Sign constrained rectifier networks with applications to pattern decompositions

S An, Q Ke, M Bennamoun, F Boussaid, F Sohel

Conference Proceedings  |  2015  |  Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Identification and shape analysis of Arabidopsis cultivated in nitrogen-free environment

J Zhang, Y Tian, Q Ke

Journal article  |  2014  |  Sensors and Transducers

Arabidopsis Growth Simulation Using Image Processing Technology

J Zhang, Q Ke, Y Tian

Journal article  |  2014  |  Journal of Electrical and Computer Engineering

This paper aims to provide a method to represent the virtualArabidopsisplant at each growth stage. It includes simulating the shap..

Is rotation a nuisance in shape recognition?

Q Ke, Y Li

Conference Proceedings  |  2014  |  Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Arabidopsis growth analysis using image processing technology

Q Ke, J Zhang, Y Tian

Conference Proceedings  |  2013  |  Advanced Materials Research

This paper describes the use of image processing technology on the measurement of Arabidopsis leaf areas. Firstly, a black and whi..

A bubble detection algorithm based on wavelet transform and canny operator for Deinked Pulp flotation column

Y Tian, H Qian, Q Ke

Conference Proceedings  |  2013  |  Applied Mechanics and Materials

Deinked pulp flotation column has been applied in wastepaper recycling. Bubble size in deinked pulp flotation column is very impor..