activity
20142024
most citedFrugal Online Incentive Mechanisms for Crowdsourcing Tasks Truthfully

12 citations · 16 across the 8 of their papers we have counts for

collaborators

8 papers

cs.MM20241 cited

G3R: Generating Rich and Fine-grained mmWave Radar Data from 2D Videos for Generalized Gesture Recognition

Kaikai Deng, Dong Zhao, Wenxin Zheng +3

Millimeter wave radar is gaining traction recently as a promising modality for enabling pervasive and privacy-preserving gesture recognition. However, the lack of rich and fine-gra…

eess.IV2024

NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results

Xin Li, Kun Yuan, Yajing Pei +65

This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…

cs.CV2024

Region-Aware Exposure Consistency Network for Mixed Exposure Correction

Jin Liu, Huiyuan Fu, Chuanming Wang +1

Exposure correction aims to enhance images suffering from improper exposure to achieve satisfactory visual effects. Despite recent progress, existing methods generally mitigate eit…

cs.CV20241 cited

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…

cs.CV2024

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…

cs.CV2024

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…