activity
20182022
most citedSingle Image Dehazing with An Independent Detail-Recovery Network

3 citations · 4 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV20221 cited

Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction

De Cheng, Yan Li, Dingwen Zhang +3

Single image dehazing as a fundamental low-level vision task, is essential for the development of robust intelligent surveillance system. In this paper, we make an early effort to…

cs.CV20213 cited

Single Image Dehazing with An Independent Detail-Recovery Network

Yan Li, De Cheng, Jiande Sun +3

Single image dehazing is a prerequisite which affects the performance of many computer vision tasks and has attracted increasing attention in recent years. However, most existing d…

eess.IV2020

Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning

Min Gao, Yukun Guo, Tristan T. Hormel +3

Typical optical coherence tomographic angiography (OCTA) acquisition areas on commercial devices are 3x3- or 6x6-mm. Compared to 3x3-mm angiograms with proper sampling density, 6x6…

cs.IR2020

Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation

Yang Xu, Lei Zhu, Zhiyong Cheng +2

Hashing is an effective technique to address the large-scale recommendation problem, due to its high computation and storage efficiency on calculating the user preferences on items…

cs.IR2019

Fusion-supervised Deep Cross-modal Hashing

Li Wang, Lei Zhu, En Yu +2

Deep hashing has recently received attention in cross-modal retrieval for its impressive advantages. However, existing hashing methods for cross-modal retrieval cannot fully captur…

cs.IT2018

Joint Optimization of a UAV's Trajectory and Transmit Power for Covert Communications

Xiaobo Zhou, Shihao Yan, Jinsong Hu +3

This work considers covert communications in the context of unmanned aerial vehicle (UAV) networks, aiming to hide a UAV for transmitting critical information out of a scenario tha…