3.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Beihang UniversityCN29 papers
- Peng Cheng LaboratoryCN4 papers
- Chinese Academy of SciencesCN3 papers
- Peking UniversityCN3 papers
- Baidu (China)CN2 papers
- Institute of Information EngineeringCN2 papers
- National University of Defense TechnologyCN2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Tencent (China)CN2 papers
- Tsinghua UniversityCN2 papers
- Advanced Digital Sciences CenterSG1 paper
- Agency for Science, Technology and ResearchSG1 paper
7 papers · 1 filter
Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss
Jia Li, Jinming Su, Changqun Xia +2
By the aid of attention mechanisms to weight the image features adaptively, recent advanced deep learning-based models encourage the predicted results to approximate the ground-tru…
A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor
Sijia Wen, Yinqiang Zheng, Feng Lu
The emergence of the single-chip polarized color sensor now allows for simultaneously capturing chromatic and polarimetric information of the scene on a monochromatic image plane.…
Distortion-adaptive Salient Object Detection in 360 Omnidirectional Images
Jia Li, Jinming Su, Changqun Xia +1
Image-based salient object detection (SOD) has been extensively explored in the past decades. However, SOD on 360 omnidirectional images is less studied owing to the lack o…
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Feifan Lv, Yu Li, Feng Lu
Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in…
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Xingjun Ma, Yuhao Niu, Lin Gu +4
Deep neural networks (DNNs) have become popular for medical image analysis tasks like cancer diagnosis and lesion detection. However, a recent study demonstrates that medical deep…
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
Jia Li, Kui Fu, Shengwei Zhao +1
The performance of video saliency estimation techniques has achieved significant advances along with the rapid development of Convolutional Neural Networks (CNNs). However, devices…
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
Kui Fu, Peipei Shi, Yafei Song +3
Large convolutional neural network models have recently demonstrated impressive performance on video attention prediction. Conventionally, these models are with intensive computati…