14 citations · 14 across the 5 of their papers we have counts for
5 papers
Entropy Reveals Block Importance in Masked Self-Supervised Vision Transformers
Peihao Xiang, Kaida Wu, Ou Bai
Masked self-supervised vision transformers have become a dominant pretraining paradigm, yet their substantial model size poses significant challenges for resource-constrained deplo…
Emotional Styles Hide in Deep Speaker Embeddings: Disentangle Deep Speaker Embeddings for Speaker Clustering
Chaohao Lin, Xu Zheng, Kaida Wu +2
Speaker clustering is the task of identifying the unique speakers in a set of audio recordings (each belonging to exactly one speaker) without knowing who and how many speakers are…
Real-Time Load Estimation for Load-lifting Exoskeletons Using Insole Pressure Sensors and Machine Learning
Kaida Wu, Peihao Xiang, Chaohao Lin +1
To enhance lifting-load estimation accuracy in industrial upper-limb assistive exoskeletons, this study proposes a machine learning-based approach using insole pressure sensors. Un…
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition
Peihao Xiang, Kaida Wu, Ou Bai
This paper expands the cascaded network branch of the autoencoder-based multi-task learning (MTL) framework for dynamic facial expression recognition, namely Multi-Task Cascaded Au…
MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition
Peihao Xiang, Chaohao Lin, Kaida Wu +1
This paper presents a novel approach to processing multimodal data for dynamic emotion recognition, named as the Multimodal Masked Autoencoder for Dynamic Emotion Recognition (Mult…