14 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Expandable Residual Approximation for Knowledge Distillation
Zhaoyi Yan, Binghui Chen, Yunfan Liu +1
Knowledge distillation (KD) aims to transfer knowledge from a large-scale teacher model to a lightweight one, significantly reducing computational and storage requirements. However…
cs.CV2024★ 14 cited
Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting
Mingyue Guo, Binghui Chen, Zhaoyi Yan +2
Multidomain crowd counting aims to learn a general model for multiple diverse datasets. However, deep networks prefer modeling distributions of the dominant domains instead of all…
cs.CV2024
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
Mingyue Guo, Li Yuan, Zhaoyi Yan +3
Crowd counting has achieved significant progress by training regressors to predict instance positions. In heavily crowded scenarios, however, regressors are challenged by uncontrol…