100 citations
- Nankai UniversityCN2 papers
- Eastern UniversityUS1 paper
- Inception Institute of Artificial IntelligenceAE1 paper
- Jinan UniversityCN1 paper
- Peking UniversityCN1 paper
- Polytechnique MontréalCA1 paper
- Sun Yat-sen UniversityCN1 paper
- Tianjin UniversityCN1 paper
- Université de Bretagne SudFR1 paper
- University of AmsterdamNL1 paper
- Zhejiang UniversityCN1 paper
7 papers
Towards Intrinsically Calibrated Uncertainty Quantification in Industrial Data-Driven Models via Diffusion Sampler
Yiran Ma, Jerome Le Ny, Zhichao Chen +1
In modern process industries, data-driven models are important tools for real-time monitoring when key performance indicators are difficult to measure directly. While accurate pred…
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark
Gang Xu, Yu-chen Yang, Liang Wang +2
Joint Super-Resolution and Inverse Tone-Mapping (joint SR-ITM) aims to increase the resolution and dynamic range of low-resolution and standard dynamic range images. Recent network…
Hardy's inequality for Hermite expansions revisited
Peng Chen, Jinsen Xiao
In this article, we give a short proof of Hardy's inequality for Hermite expansions of functions in the classical Hardy spaces , by using an atomic decompositio…
Using Gaia DR2 to make a systematic comparison between two geometric distortion solutions
Z. J. Zheng, Q. Y. Peng, F. R. Lin
Gaia Data Release 2 (Gaia DR2) provides high accuracy and precision astrometric parameters (position, parallax, and proper motion) for more than 1 billion sources and is revolution…
Several Typical Paradigms of Industrial Big Data Application
Hu Shaolin, Zhang Qinghua, Su Naiquan +1
Industrial big data is an important part of big data family, which has important application value for industrial production scheduling, risk perception, state identification, safe…
Conditional Variational Image Deraining
Ying-Jun Du, Jun Xu, Xian-Tong Zhen +2
Image deraining is an important yet challenging image processing task. Though deterministic image deraining methods are developed with encouraging performance, they are infeasible…