23 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH2 papers
- Fuzhou UniversityCN2 papers
- Peking UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- Zhejiang UniversityCN2 papers
- Ajou UniversityKR1 paper
- Beijing Institute of Optoelectronic TechnologyCN1 paper
- Beijing Institute of TechnologyCN1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Collaborative Innovation Center of Quantum MatterCN1 paper
- Computer Vision LaboratoryCH1 paper
- Dalian Maritime UniversityCN1 paper
10 papers
Atoms of Thought: Universal EEG Representation Learning with Microstates
Xinyang Tian, Ruitao Liu, Ziyi Ye +3
Learning universal representations from electroencephalogram (EEG) signals is a cutting-edge approach in the field of neuroinformatics and brain-computer interfaces (BCIs). Convent…
A laser with instability reaching based on a 10-cm-long silicon cavity at sub-5-K temperatures
Zhi-Ang Chen, Hao-Ran Zeng, Wen-Wei Wang +6
The realization of ultra-stable lasers with -level frequency stability has enabled a wide range of researches on precision metrology and fundamental science, where cryoge…
High-Performance Green and Blue Light-Emitting Diodes Enabled by CdZnSe/ZnS Core/Shell Colloidal Quantum Wells
Yunke Zhu, Xiuyuan Lu, Jingjing Qiu +17
The unique anisotropic properties of colloidal quantum wells (CQWs) make them highly promising as components in nanocrystal-based devices. However, the limited performance of green…
Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features
Yong Ma, Senlin Luo, Yu-Ming Shang +2
Researchers have investigated the potential of leveraging pre-trained language models, such as CodeBERT, to enhance source code-related tasks. Previous methodologies have relied on…
Multi-Grid Back-Projection Networks
Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu +2
Multi-Grid Back-Projection (MGBP) is a fully-convolutional network architecture that can learn to restore images and videos with upscaling artifacts. Using the same strategy of mul…
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte +43
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…
Multi-Scale Recursive and Perception-Distortion Controllable Image Super-Resolution
Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu
We describe our solution for the PIRM Super-Resolution Challenge 2018 where we achieved the 2nd best perceptual quality for average RMSE<=16, 5th best for RMSE<=12.5, and 7th best…
Multigrid Backprojection Super-Resolution and Deep Filter Visualization
Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu
We introduce a novel deep-learning architecture for image upscaling by large factors (e.g. 4x, 8x) based on examples of pristine high-resolution images. Our target is to reconstruc…
Control of absorption of monolayer MoS thin-film transistor in one-dimensional defective photonic crystal
Fang-Fang Yang, Ying-Long Huang, Wen-bo Xiao +2
The light absorption and transmission of monolayer MoS in a one-dimensional defective photonic crystal (d-1DPC) is theoretically investigated. The study shows that the strong…