40 citations · 85 across the 4 of their papers we have counts for
4 papers · 1 filter
Cross-head Supervision for Crowd Counting with Noisy Annotations
Mingliang Dai, Zhizhong Huang, Jiaqi Gao +2
Noisy annotations such as missing annotations and location shifts often exist in crowd counting datasets due to multi-scale head sizes, high occlusion, etc. These noisy annotations…
Motion Matters: A Novel Motion Modeling For Cross-View Gait Feature Learning
Jingqi Li, Jiaqi Gao, Yuzhen Zhang +2
As a unique biometric that can be perceived at a distance, gait has broad applications in person authentication, social security, and so on. Existing gait recognition methods suffe…
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Jiaqi Gao, Jingqi Li, Hongming Shan +4
Crowd counting has important applications in public safety and pandemic control. A robust and practical crowd counting system has to be capable of continuously learning with the ne…
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting
Jiaqi Gao, Zhizhong Huang, Yiming Lei +4
Most conventional crowd counting methods utilize a fully-supervised learning framework to establish a mapping between scene images and crowd density maps. They usually rely on a la…