3 citations · 3 across the 4 of their papers we have counts for
4 papers
Adaptive Redundancy Regulation for Balanced Multimodal Information Refinement
Zhe Yang, Wenrui Li, Hongtao Chen +3
Multimodal learning aims to improve performance by leveraging data from multiple sources. During joint multimodal training, due to modality bias, the advantaged modality often domi…
PAGCNet: A Pose-Aware and Geometry Constrained Framework for Panoramic Depth Estimation
Kanglin Ning, Ruzhao Chen, Penghong Wang +3
Explicitly modeling room background depth as a geometric constraint has proven effective for panoramic depth estimation. However, reconstructing this background depth for regular e…
Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning
Wenrui Li, Penghong Wang, Xingtao Wang +3
Audio-visual zero-shot learning (ZSL) has been extensively researched for its capability to classify video data from unseen classes during training. Nevertheless, current methodolo…
Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning
Wenrui Li, Penghong Wang, Ruiqin Xiong +1
The spiking neural networks (SNNs) that efficiently encode temporal sequences have shown great potential in extracting audio-visual joint feature representations. However, coupling…