2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
Changsheng Lv, Shuai Zhang, Yapeng Tian +2
In this paper, we propose a Disentangled Counterfactual Learning~(DCL) approach for physical audiovisual commonsense reasoning. The task aims to infer objects' physics commonsense…