4 citations · 4 across the 4 of their papers we have counts for
4 papers
Toward Robust Semi-supervised Regression via Dual-stream Knowledge Distillation
Ye Su, Hezhe Qiao, Wei Huang +1
Semi-supervised regression (SSR), which aims to predict continuous scores for samples while reducing the reliance on large-scale labeled data, has recently attracted considerable a…
Semantic-guided Representation Learning for Multi-Label Recognition
Ruhui Zhang, Hezhe Qiao, Pengcheng Xu +2
Multi-label Recognition (MLR) involves assigning multiple labels to each data instance in an image, offering advantages over single-label classification in complex scenarios. Howev…
Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction
Hongbin Liang, Hezhe Qiao, Wei Huang +3
Ensuring the safety of vulnerable road users through accurate prediction of pedestrian crossing intention (PCI) plays a crucial role in the context of autonomous and assisted drivi…
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Hezhe Qiao, Guansong Pang
We reveal a one-class homophily phenomenon, which is one prevalent property we find empirically in real-world graph anomaly detection (GAD) datasets, i.e., normal nodes tend to hav…