4 citations · 15 across the 10 of their papers we have counts for
7 papers · 1 filter
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video
Renlong Wu, Zhilu Zhang, Mingyang Chen +2
Recent 4D reconstruction methods have yielded impressive results but rely on sharp videos as supervision. However, motion blur often occurs in videos due to camera shake and object…
Multi-modal Crowd Counting via Modal Emulation
Chenhao Wang, Xiaopeng Hong, Zhiheng Ma +3
Multi-modal crowd counting is a crucial task that uses multi-modal cues to estimate the number of people in crowded scenes. To overcome the gap between different modalities, we pro…
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…
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding
Wenrui Li, Xiaopeng Hong, Ruiqin Xiong +1
Temporal video grounding (TVG) is a critical task in video content understanding, requiring precise alignment between video content and natural language instructions. Despite signi…
DV-Hop localization based on Distance Estimation using Multinode and Hop Loss in WSNs
Penghong Wang, Xingtao Wang, Wenrui Li +2
Location awareness is a critical issue in wireless sensor network applications. For more accurate location estimation, the two issues should be considered extensively: 1) how to su…
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
Wenxue Cui, Xingtao Wang, Xiaopeng Fan +3
Existing image compressed sensing (CS) coding frameworks usually solve an inverse problem based on measurement coding and optimization-based image reconstruction, which still exist…
Probability-based Distance Estimation Model for 3D DV-Hop Localization in WSNs
Penghong Wang, Hao Wang, Wenrui Li +2
Localization is one of the pivotal issues in wireless sensor network applications. In 3D localization studies, most algorithms focus on enhancing the location prediction process, l…