176 citations · 214 across the 4 of their papers we have counts for
7 papers · 1 filter
TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpainting
Taorong Liu, Liang Liao, Delin Chen +4
Image inpainting for completing complicated semantic environments and diverse hole patterns of corrupted images is challenging even for state-of-the-art learning-based inpainting m…
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang +4
Optical-flow-based and kernel-based approaches have been extensively explored for temporal compensation in satellite Video Super-Resolution (VSR). However, these techniques are les…
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion
Liang Liao, Wenyi Chen, Jing Xiao +3
Understanding foggy image sequence in the driving scenes is critical for autonomous driving, but it remains a challenging task due to the difficulty in collecting and annotating re…
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Mingbao Lin, Liujuan Cao, Yuxin Zhang +3
This paper focuses on filter-level network pruning. A novel pruning method, termed CLR-RNF, is proposed. We first reveal a "long-tail" long-tail pruning problem in magnitude-based…
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination
Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su +1
Despite generative adversarial networks (GANs) can hallucinate photo-realistic high-resolution (HR) faces from low-resolution (LR) faces, they cannot guarantee preserving the ident…
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data
Chih-Chung Hsu, Chia-Wen Lin
Given a large unlabeled set of images, how to efficiently and effectively group them into clusters based on extracted visual representations remains a challenging problem. To addre…