16 citations · 16 across the 5 of their papers we have counts for
5 papers · 1 filter
SSPFusion: A Semantic Structure-Preserving Approach for Infrared and Visible Image Fusion
Qiao Yang, Yu Zhang, Yutong Chen +2
Most existing learning-based multi-modality image fusion (MMIF) methods suffer from significant structure inconsistency due to their inappropriate usage of structural features at t…
A Comprehensive Comparison of Projections in Omnidirectional Super-Resolution
Huicheng Pi, Senmao Tian, Ming Lu +3
Super-Resolution (SR) has gained increasing research attention over the past few years. With the development of Deep Neural Networks (DNNs), many super-resolution methods based on…
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input
Senmao Tian, Ming Lu, Jiaming Liu +3
With the development of high-definition display devices, the practical scenario of Super-Resolution (SR) usually needs to super-resolve large input like 2K to higher resolution (4K…
GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework
Ming Wang, Beibei Lin, Xianda Guo +5
Many gait recognition methods first partition the human gait into N-parts and then combine them to establish part-based feature representations. Their gait recognition performance…
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation
Beibei Lin, Shunli Zhang, Xin Yu
Gait recognition is one of the most important biometric technologies and has been applied in many fields. Recent gait recognition frameworks represent each gait frame by descriptor…