19 citations · 22 across the 6 of their papers we have counts for
6 papers
Discovering Common Information in Multi-view Data
Qi Zhang, Mingfei Lu, Shujian Yu +2
We introduce an innovative and mathematically rigorous definition for computing common information from multi-view data, drawing inspiration from Gács-Körner common information in…
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
Xiuquan Hou, Meiqin Liu, Senlin Zhang +2
DETR-like methods have significantly increased detection performance in an end-to-end manner. The mainstream two-stage frameworks of them perform dense self-attention and select a…
Hierarchical Large Language Models in Cloud Edge End Architecture for Heterogeneous Robot Cluster Control
Zhirong Luan, Yujun Lai, Rundong Huang +4
Despite their powerful semantic understanding and code generation capabilities, Large Language Models (LLMs) still face challenges when dealing with complex tasks. Multi agent stra…
IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction
Yuehai Chen
Predicting the trajectory of pedestrians in crowd scenarios is indispensable in self-driving or autonomous mobile robot field because estimating the future locations of pedestrians…
Learning Discriminative Features for Crowd Counting
Yuehai Chen, Qingzhong Wang, Jing Yang +3
Crowd counting models in highly congested areas confront two main challenges: weak localization ability and difficulty in differentiating between foreground and background, leading…
Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map
Yuehai Chen, Jing Yang, Badong Chen +2
Counting objects in crowded scenes remains a challenge to computer vision. The current deep learning based approach often formulate it as a Gaussian density regression problem. Suc…