24 citations · 28 across the 6 of their papers we have counts for
6 papers
Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network
Hao Xing, Darius Burschka
Human activities recognition is an important task for an intelligent robot, especially in the field of human-robot collaboration, it requires not only the label of sub-activities b…
RCRN: Real-world Character Image Restoration Network via Skeleton Extraction
Daqian Shi, Xiaolei Diao, Hao Tang +3
Constructing high-quality character image datasets is challenging because real-world images are often affected by image degradation. There are limitations when applying current ima…
Weakly Supervised Video Salient Object Detection via Point Supervision
Shuyong Gao, Haozhe Xing, Wei Zhang +3
Video salient object detection models trained on pixel-wise dense annotation have achieved excellent performance, yet obtaining pixel-by-pixel annotated datasets is laborious. Seve…
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network
Hao Xing, Darius Burschka
In skeleton-based action recognition, Graph Convolutional Networks model human skeletal joints as vertices and connect them through an adjacency matrix, which can be seen as a loca…
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
Hao Xing, Yuxuan Xue, Mingchuan Zhou +1
This paper propose a novel dictionary learning approach to detect event action using skeletal information extracted from RGBD video. The event action is represented as several late…
Product Image Recognition with Guidance Learning and Noisy Supervision
Qing Li, Xiaojiang Peng, Liangliang Cao +3
This paper considers recognizing products from daily photos, which is an important problem in real-world applications but also challenging due to background clutters, category dive…