3 citations · 9 across the 7 of their papers we have counts for
8 papers
Depth-Supervised Fusion Network for Seamless-Free Image Stitching
Zhiying Jiang, Ruhao Yan, Zengxi Zhang +2
Image stitching synthesizes images captured from multiple perspectives into a single image with a broader field of view. The significant variations in object depth often lead to la…
SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancement
Zeru Shi, Zengxi Zhang, Kemeng Cui +3
Images captured in harsh environments often exhibit blurred details, reduced contrast, and color distortion, which hinder feature detection and matching, thereby affecting the accu…
HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning
Zengxi Zhang, Zhiying Jiang, Long Ma +3
Underwater images are often affected by light refraction and absorption, reducing visibility and interfering with subsequent applications. Existing underwater image enhancement met…
CARNet: Collaborative Adversarial Resilience for Robust Underwater Image Enhancement and Perception
Zengxi Zhang, Zeru Shi, Zhiying Jiang +1
Due to the uneven absorption of different light wavelengths in aquatic environments, underwater images suffer from low visibility and clear color deviations. With the advancement o…
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond
Zengxi Zhang, Zhiying Jiang, Jinyuan Liu +2
Underwater images suffer from light refraction and absorption, which impairs visibility and interferes the subsequent applications. Existing underwater image enhancement methods ma…
Multi-Spectral Image Stitching via Spatial Graph Reasoning
Zhiying Jiang, Zengxi Zhang, Jinyuan Liu +2
Multi-spectral image stitching leverages the complementarity between infrared and visible images to generate a robust and reliable wide field-of-view (FOV) scene. The primary chall…
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining
Zhiying Jiang, Risheng Liu, Shuzhou Yang +2
Rain streaks significantly decrease the visibility of captured images and are also a stumbling block that restricts the performance of subsequent computer vision applications. The…
Breaking Modality Disparity: Harmonized Representation for Infrared and Visible Image Registration
Zhiying Jiang, Zengxi Zhang, Jinyuan Liu +2
Since the differences in viewing range, resolution and relative position, the multi-modality sensing module composed of infrared and visible cameras needs to be registered so as to…