35 citations · 133 across the 21 of their papers we have counts for
26 papers · 1 filter
Towards more realistic human motion prediction with attention to motion coordination
Pengxiang Ding, Jianqin Yin
Joint relation modeling is a curial component in human motion prediction. Most existing methods rely on skeletal-based graphs to build the joint relations, where local interactive…
SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition
Shaojie Zhang, Jianqin Yin, Yonghao Dang +1
Graph convolution networks (GCNs) have achieved remarkable performance in skeleton-based action recognition. However, previous GCN-based methods rely on elaborate human priors exce…
Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios
Yuanyuan Jiang, Jianqin Yin
Audio-visual question answering (AVQA) is a challenging task that requires multistep spatio-temporal reasoning over multimodal contexts. Recent works rely on elaborate target-agnos…
MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition
Guoliang Xu, Jianqin Yin
The task of Group Activity Recognition (GAR) aims to predict the activity category of the group by learning the actor spatial-temporal interaction relation in the group. Therefore,…
SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection
Binglu Ren, Jianqin Yin
In the perception task of autonomous driving, multi-modal methods have become a trend due to the complementary characteristics of LiDAR point clouds and image data. However, the pe…
Global Relation Modeling and Refinement for Bottom-Up Human Pose Estimation
Ruoqi Yin, Jianqin Yin
In this paper, we concern on the bottom-up paradigm in multi-person pose estimation (MPPE). Most previous bottom-up methods try to consider the relation of instances to identify di…