7 citations · 10 across the 4 of their papers we have counts for
4 papers
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation
Boxiang Zhang, Zunran Wang, Yonggen Ling +3
Existing methods of cross-modal domain adaptation for 3D semantic segmentation predict results only via 2D-3D complementarity that is obtained by cross-modal feature matching. Howe…
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
Zidong Guo, Zejian Yuan, Chong Zhang +3
Gaze is the essential manifestation of human attention. In recent years, a series of work has achieved high accuracy in gaze estimation. However, the inter-personal difference limi…
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
Ziyang Song, Zejian Yuan, Chong Zhang +3
In recognition-based action interaction, robots' responses to human actions are often pre-designed according to recognized categories and thus stiff. In this paper, we specify a ne…
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Ziyang Song, Ziyi Yin, Zejian Yuan +4
Despite the notable progress made in action recognition tasks, not much work has been done in action recognition specifically for human-robot interaction. In this paper, we deeply…