4 citations · 16 across the 9 of their papers we have counts for
9 papers
Structure-preserving Feature Alignment for Old Photo Colorization
Yingxue Pang, Xin Jin, Jun Fu +1
Deep learning techniques have made significant advancements in reference-based colorization by training on large-scale datasets. However, directly applying these methods to the tas…
Scale Guided Hypernetwork for Blind Super-Resolution Image Quality Assessment
Jun Fu
With the emergence of image super-resolution (SR) algorithm, how to blindly evaluate the quality of super-resolution images has become an urgent task. However, existing blind SR im…
Design of The Kinetic Inductance Detector Based Focal Plane Assembly for The Terahertz Intensity Mapper
L. -J. Liu, R. M. J. Janssen, C. M. Bradford +16
We report on the kinetic inductance detector (KID) array focal plane assembly design for the Terahertz Intensity Mapper (TIM). Each of the 2 arrays consists of 4 wafer-sized dies (…
Design and testing of Kinetic Inductance Detector package for the Terahertz Intensity Mapper
L. -J. Liu, R. M. J Janssen, C. M. Bradford +16
The Terahertz Intensity Mapper (TIM) is designed to probe the star formation history in dust-obscured star-forming galaxies around the peak of cosmic star formation. This will be d…
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
Yiting Lu, Jun Fu, Xin Li +6
Coronary CT Angiography (CCTA) is susceptible to various distortions (e.g., artifacts and noise), which severely compromise the exact diagnosis of cardiovascular diseases. The appr…
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective
Xin Li, Xin Jin, Jun Fu +3
Collecting amounts of distorted/clean image pairs in the real world is non-trivial, which seriously limits the practical applications of these supervised learning-based methods on…
Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment
Jun Fu, Chen Hou, Wei Zhou +2
In no-reference 360-degree image quality assessment (NR 360IQA), graph convolutional networks (GCNs), which model interactions between viewports through graphs, have achieved impre…
Bayesian Graph Convolutional Network for Traffic Prediction
Jun Fu, Wei Zhou, Zhibo Chen
Recently, adaptive graph convolutional network based traffic prediction methods, learning a latent graph structure from traffic data via various attention-based mechanisms, have ac…
Direct Adaptive Controller for Uncertain MIMO Dynamic Systems with Time-varying Delay and Dead-zone Inputs
Zhijun Li, Ziting Chen, Jun Fu +1
This paper presents an adaptive tracking control method for a class of nonlinearly parameterized MIMO dynamic systems with time-varying delay and unknown nonlinear dead-zone inputs…