961 citations · 1.5k across the 30 of their papers we have counts for
6 papers · 1 filter
Learning Single Image Defocus Deblurring with Misaligned Training Pairs
Yu Li, Dongwei Ren, Xinya Shu +1
By adopting popular pixel-wise loss, existing methods for defocus deblurring heavily rely on well aligned training image pairs. Although training pairs of ground-truth and blurry i…
Robust Deep Ensemble Method for Real-world Image Denoising
Pengju Liu, Hongzhi Zhang, Jinghui Wang +3
Recently, deep learning-based image denoising methods have achieved promising performance on test data with the same distribution as training set, where various denoising models ba…
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Meisong Zheng +75
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
Yue Cao, Zhaolin Wan, Dongwei Ren +2
Full-reference (FR) image quality assessment (IQA) evaluates the visual quality of a distorted image by measuring its perceptual difference with pristine-quality reference, and has…
Learning Dual-Pixel Alignment for Defocus Deblurring
Yu Li, Yaling Yi, Dongwei Ren +2
It is a challenging task to recover sharp image from a single defocus blurry image in real-world applications. On many modern cameras, dual-pixel (DP) sensors create two-image view…
Localization Distillation for Object Detection
Zhaohui Zheng, Rongguang Ye, Qibin Hou +4
Previous knowledge distillation (KD) methods for object detection mostly focus on feature imitation instead of mimicking the prediction logits due to its inefficiency in distilling…