4 citations · 15 across the 10 of their papers we have counts for
11 papers
Beyond Single Solution: Multi-Hypothesis Collaborative Deep Unfolding Network for Image Compressive Sensing
Wenxue Cui, Hualin Li, Yuhang Qin +3
Recent deep unfolding networks (DUNs) have advanced Compressive Sensing (CS) by effectively integrating iterative optimization with deep learning architectures. However, most CS ap…
A Tree-guided CNN for image super-resolution
Chunwei Tian, Mingjian Song, Xiaopeng Fan +3
Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not…
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…
Spiking Semantic Communication for Feature Transmission with HARQ
Mengyang Wang, Jiahui Li, Mengyao Ma +1
In Collaborative Intelligence (CI), the Artificial Intelligence (AI) model is divided between the edge and the cloud, with intermediate features being sent from the edge to the clo…
SNN-SC: A Spiking Semantic Communication Framework for Collaborative Intelligence
Mengyang Wang, Jiahui Li, Mengyao Ma +1
Collaborative Intelligence (CI) has emerged as a promising framework for deploying Artificial Intelligence (AI) models on resource-constrained edge devices. In CI, the AI model is…