Qiuhong Ke

Hierarchical Paired Channel Fusion Network for Street Scene Change Detection

Yinjie Lei, Duo Peng, Pingping Zhang, Qiuhong Ke, Haifeng Li

Journal article  |  2021  |  IEEE TRANSACTIONS ON IMAGE PROCESSING

Street Scene Change Detection (SSCD) aims to locate the changed regions between a given street-view image pair captured at differe..

Long-Term Anticipation of Activities with Cycle Consistency

Y Abu Farha, Q Ke, B Schiele, J Gall

Conference Proceedings  |  2021  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

With the success of deep learning methods in analyzing activities in videos, more attention has recently been focused towards anti..

HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks

Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang

Conference Proceedings  |  2020  |  20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020)

Hexagonal CNN models have shown superior performance in applications such as IACT data analysis and aerial scene classification du..

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

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  |  Asian Conference on Computer Vision

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