24 citations · 76 across the 8 of their papers we have counts for
9 papers
SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
Yuzhi Zhao, Lai-Man Po, Kangcheng Liu +5
In this paper, we propose a scribble-based video colorization network with temporal aggregation called SVCNet. It can colorize monochrome videos based on different user-given color…
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
Xue Yang, Gefan Zhang, Wentong Li +3
Oriented object detection emerges in many applications from aerial images to autonomous driving, while many existing detection benchmarks are annotated with horizontal bounding box…
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
Yuzhi Zhao, Yongzhe Xu, Qiong Yan +3
Night imaging with modern smartphone cameras is troublesome due to low photon count and unavoidable noise in the imaging system. Directly adjusting exposure time and ISO ratings ca…
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction
Wei Shen, Zelin Peng, Xuehui Wang +6
The rapid development of deep learning has made a great progress in image segmentation, one of the fundamental tasks of computer vision. However, the current segmentation algorithm…
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
Yuzhi Zhao, Lai-Man Po, Xuehui Wang +9
The appearances of children are inherited from their parents, which makes it feasible to predict them. Predicting realistic children's faces may help settle many social problems, s…
ContrastMask: Contrastive Learning to Segment Every Thing
Xuehui Wang, Kai Zhao, Ruixin Zhang +3
Partially-supervised instance segmentation is a task which requests segmenting objects from novel unseen categories via learning on limited seen categories with annotated masks thu…
Legacy Photo Editing with Learned Noise Prior
Zhao Yuzhi, Po Lai-Man, Wang Xuehui +5
There are quite a number of photographs captured under undesirable conditions in the last century. Thus, they are often noisy, regionally incomplete, and grayscale formatted. Conve…
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
Xuehui Wang, Qing Wang, Yuzhi Zhao +3
Despite convolutional network-based methods have boosted the performance of single image super-resolution (SISR), the huge computation costs restrict their practical applicability.…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…