Emotion recognition is a key capability in human–robot interaction (HRI), but existing multimodal emotion recognition (MER) methods rely mainly on facial, vocal, and textual cues, which are often unreliable in practical HRI settings. In particular, occlusion and degraded or missing modalities can substantially reduce t...
Wen-Zhuo Sun, Xue-Lian Cheng, Richard Attfield et al.· IEEE International Symposium...· 0 citations
This work proposes XPos3R, a generalizable pose regression method that eliminates preoperative preparation, and introduces an asymmetric encoder-decoder architecture that improves cross-modal feature alignment while maintaining computational efficiency.
Shi-Yan Su, Ruyi Zha, Hong-Dong Li et al.· 0 citations
This work builds a synthetic data engine that leverages a spatio-temporal scene graph as a difficulty measure and casts difficulty-controlled query synthesis as a constraint programming problem, producing difficulty-graded data for both evaluation and training and proposes CurrSTVG, a curriculum reinforcement learning...
Xing-Jian Wang, Shi-Jian Wang, Yi-Bo Wang et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.