1.2k citations
- Peking UniversityCN933 papers
- Tsinghua UniversityCN893 papers
- Central China Normal UniversityCN881 papers
- Wuhan UniversityCN874 papers
- University of Chinese Academy of SciencesCN819 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT796 papers
- University of GroningenNL791 papers
- Institute of High Energy PhysicsCN756 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FerraraIT745 papers
- Uppsala UniversitySE720 papers
- Lanzhou UniversityCN718 papers
- Henan Normal UniversityCN650 papers
6 papers · 2 filters
A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization
Pavlo Melnyk, Zhiqiang You, Keqin Li
Recent researches introduced fast, compact and efficient convolutional neural networks (CNNs) for offline handwritten Chinese character recognition (HCCR). However, many of them di…
Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks
Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang +2
In recent years, there has been a growing interest in applying convolutional neural networks (CNNs) to low-level vision tasks such as denoising and super-resolution. Due to the coh…
FD-GAN: Face-demorphing generative adversarial network for restoring accomplice's facial image
Fei Peng, Le-bing Zhang, Min Long
Face morphing attack is proved to be a serious threat to the existing face recognition systems. Although a few face morphing detection methods have been put forward, the face morph…
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network
Qiang Zhang, Qiangqiang Yuan, Jie Li +3
The existence of hybrid noise in hyperspectral images (HSIs) severely degrades the data quality, reduces the interpretation accuracy of HSIs, and restricts the subsequent HSIs appl…
A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction
Mingxing Duan, Kenli Li, Qi Tian
Face multi-attribute prediction benefits substantially from multi-task learning (MTL), which learns multiple face attributes simultaneously to achieve shared or mutually related re…
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
Yifei Huang, Minjie Cai, Zhenqiang Li +1
We present a new computational model for gaze prediction in egocentric videos by exploring patterns in temporal shift of gaze fixations (attention transition) that are dependent on…