249 citations · 438 across the 4 of their papers we have counts for
6 papers
Towards Balanced Learning for Instance Recognition
Jiangmiao Pang, Kai Chen, Qi Li +5
Instance recognition is rapidly advanced along with the developments of various deep convolutional neural networks. Compared to the architectures of networks, the training process,…
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
Haoying Li, Yifan Yang, Meng Chang +4
Single image super-resolution (SISR) aims to reconstruct high-resolution (HR) images from the given low-resolution (LR) ones, which is an ill-posed problem because one LR image cor…
Low-light Image Restoration with Short- and Long-exposure Raw Pairs
Meng Chang, Huajun Feng, Zhihai Xu +1
Low-light imaging with handheld mobile devices is a challenging issue. Limited by the existing models and training data, most existing methods cannot be effectively applied in real…
Spatial-Adaptive Network for Single Image Denoising
Meng Chang, Qi Li, Huajun Feng +1
Previous works have shown that convolutional neural networks can achieve good performance in image denoising tasks. However, limited by the local rigid convolutional operation, the…
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang, Kai Chen, Jianping Shi +3
Compared with model architectures, the training process, which is also crucial to the success of detectors, has received relatively less attention in object detection. In this work…
R-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images
Jiangmiao Pang, Cong Li, Jianping Shi +2
Recently, the convolutional neural network has brought impressive improvements for object detection. However, detecting tiny objects in large-scale remote sensing images still rema…