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cs.CV2024
UAHOI: Uncertainty-aware Robust Interaction Learning for HOI Detection
Mu Chen, Minghan Chen, Yi Yang
This paper focuses on Human-Object Interaction (HOI) detection, addressing the challenge of identifying and understanding the interactions between humans and objects within a given…
cs.CV2024
Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
Mu Chen, Zhedong Zheng, Yi Yang
Scene segmentation via unsupervised domain adaptation (UDA) enables the transfer of knowledge acquired from source synthetic data to real-world target data, which largely reduces t…
cs.CV2024
PiPa++: Towards Unification of Domain Adaptive Semantic Segmentation via Self-supervised Learning
Mu Chen, Zhedong Zheng, Yi Yang
Unsupervised domain adaptive segmentation aims to improve the segmentation accuracy of models on target domains without relying on labeled data from those domains. This approach is…