14 citations · 72 across the 22 of their papers we have counts for
6 papers · 1 filter
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution
Yifeng Zhou, Chuming Lin, Donghao Luo +4
To achieve promising results on blind image super-resolution (SR), some attempts leveraged the low resolution (LR) images to predict the kernel and improve the SR performance. Howe…
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer
Haoran Zhou, Yun Cao, Wenqing Chu +4
Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of…
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
Lingtong Kong, Boyuan Jiang, Donghao Luo +5
Prevailing video frame interpolation algorithms, that generate the intermediate frames from consecutive inputs, typically rely on complex model architectures with heavy parameters…
High-resolution Iterative Feedback Network for Camouflaged Object Detection
Xiaobin Hu, Shuo Wang, Xuebin Qin +5
Spotting camouflaged objects that are visually assimilated into the background is tricky for both object detection algorithms and humans who are usually confused or cheated by the…
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
Yue Wang, Ran Yi, Luying Li +3
Generating artistic portraits is a challenging problem in computer vision. Existing portrait stylization models that generate good quality results are based on Image-to-Image Trans…
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation
Yifeng Chen, Wenqing Chu, Fangfang Wang +6
Recently, there is growing attention on one-stage panoptic segmentation methods which aim to segment instances and stuff jointly within a fully convolutional pipeline efficiently.…