Qiuhong Ke

Image amodal completion: A survey

J Ao, Q Ke, KA Ehinger

Journal article  |  2023  |  Computer Vision and Image Understanding

Existing computer vision systems can compete with humans in understanding the visible parts of objects, but still fall far short o..

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition

A Zhu, Q Ke, M Gong, J Bailey

Conference Proceedings  |  2023  |  Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023

Skeleton-based action recognition receives increasing attention because skeleton sequences reduce training complexity by eliminati..

A survey of automated data augmentation algorithms for deep learning-based image classification tasks

Z Yang, RO Sinnott, J Bailey, Q Ke

Journal article  |  2023  |  Knowledge and Information Systems

In recent years, one of the most popular techniques in the computer vision community has been the deep learning technique. As a da..

Progressive Video Summarization via Multimodal Self-supervised Learning

H Li, Q Ke, M Gong, T Drummond

Conference Proceedings  |  2023  |  Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023

Modern video summarization methods are based on deep neural networks that require a large amount of annotated data for training. H..

Video Joint Modelling Based on Hierarchical Transformer for Co-summarization.

Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang

Journal article  |  2022  |  IEEE Trans Pattern Anal Mach Intell

Video summarization aims to automatically generate a summary (storyboard or video skim) of a video, which can facilitate large-sca..

Human Action Recognition From Various Data Modalities: A Review.

Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu

Journal article  |  2022  |  IEEE Trans Pattern Anal Mach Intell

Human Action Recognition (HAR) aims to understand human behavior and assign a label to each action. It has a wide range of applica..

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition

T Li, LG Foo, Q Ke, H Rahmani, A Wang, J Wang, J Liu

Book Chapter  |  2022  |  Lecture Notes in Computer Science

The goal of fine-grained action recognition is to successfully discriminate between action categories with subtle differences. To ..

IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition

Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu

Book Chapter  |  2022  |  Lecture Notes in Computer Science

Human interaction recognition is very important in many applications. One crucial cue in recognizing an interaction is the interac..

Action-ViT: Pedestrian Intent Prediction in Traffic Scenes

S Zhao, H Li, Q Ke, L Liu, R Zhang

Journal article  |  2022  |  IEEE Signal Processing Letters

Pedestrian crossing intention prediction is crucial to traffic safety, which is a challenging task in real traffic scenarios. Trad..

ERA: Expert Retrieval and Assembly for Early Action Prediction

LG Foo, T Li, H Rahmani, Q Ke, J Liu

Book Chapter  |  2022  |  Lecture Notes in Computer Science

Early action prediction aims to successfully predict the class label of an action before it is completely performed. This is a cha..