2 citations · 7 across the 42 of their papers we have counts for
10 papers · 1 filter
Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction
Mengshi Qi, Yuxin Yang, Huadong Ma
Effective modeling of group interactions and dynamic semantic intentions is crucial for forecasting behaviors like trajectories or movements. In complex scenarios like sports, agen…
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving
Dacheng Liao, Mengshi Qi, Liang Liu +1
In current open real-world autonomous driving scenarios, challenges such as sensor failure and extreme weather conditions hinder the generalization of most autonomous driving perce…
T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving
Changsheng Lv, Mengshi Qi, Liang Liu +1
Understanding the traffic scenes and then generating high-definition (HD) maps present significant challenges in autonomous driving. In this paper, we defined a novel Traffic Topol…
PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation
Rui Wang, Mengshi Qi, Yingxia Shao +2
Monitoring blood pressure with non-invasive sensors has gained popularity for providing comfortable user experiences, one of which is a significant function of smart wearables. Alt…
Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
Zhe Zhao, Mengshi Qi, Huadong Ma
Generating realistic human grasps is a crucial yet challenging task for applications involving object manipulation in computer graphics and robotics. Existing methods often struggl…
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
Wulian Yun, Mengshi Qi, Fei Peng +1
Existing action quality assessment (AQA) methods often require a large number of label annotations for fully supervised learning, which are laborious and expensive. In practice, th…
Mutual Distillation Learning For Person Re-Identification
Huiyuan Fu, Kuilong Cui, Chuanming Wang +2
With the rapid advancements in deep learning technologies, person re-identification (ReID) has witnessed remarkable performance improvements. However, the majority of prior works h…
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction
Yuxin Yang, Pengfei Zhu, Mengshi Qi +1
Human trajectory forecasting is a critical challenge in fields such as robotics and autonomous driving. Due to the inherent uncertainty of human actions and intentions in real-worl…
Multi-Stage Contrastive Regression for Action Quality Assessment
Qi An, Mengshi Qi, Huadong Ma
In recent years, there has been growing interest in the video-based action quality assessment (AQA). Most existing methods typically solve AQA problem by considering the entire vid…
Towards Efficient Object Re-Identification with A Novel Cloud-Edge Collaborative Framework
Chuanming Wang, Yuxin Yang, Mengshi Qi +1
Object re-identification (ReID) is committed to searching for objects of the same identity across cameras, and its real-world deployment is gradually increasing. Current ReID metho…