2023
Temporal Segment Transformer for Action Segmentation.
CoRR, 2023

Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

2022
Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN.
CoRR, 2022

Action Quality Assessment with Temporal Parsing Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Human-Object Interaction Detection via Disentangled Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network.
CoRR, 2021

Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Single Image 3D Object Estimation with Primitive Graph Networks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting.
IEEE Access, 2020

PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation.
IEEE Access, 2020

2019
Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
3D Object Structure Recovery via Semi-supervised Learning on Videos.
Proceedings of the British Machine Vision Conference 2018, 2018

2016
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016