Abstract: Implicit degradation modeling-based blind super-resolution (SR) has attracted more increasing attention in the community due to its excellent generalization to complex degradation scenarios ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

It's Christmas Eve and we are going to go celebrate being young and being alive.

Abstract: Representing hyperspectral images (HSIs) is a complex and challenging task, primarily due to spectral uncertainty. The learnable prototypical contrastive learning is specialized in ...

Whether you're looking to get ahead in your schoolwork, improve a business skill, edit video, or even master French pastry, the top online learning sites we've tested can help. I'm an expert in ...

Learning a new language requires a lot of time, but not necessarily a lot of money. Whether you're traveling to a foreign country or studying for a class, these are the best free language learning ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Authors: Jian Zhu, Xin Zou, Jun Sun, Cheng Luo, Lei Liu, Lingfang Zeng, Ning Zhang, Bian Wu, Chang Tang, Lirong Dai. This repo contains the code and data of Mixture of Ego-Graphs Contrastive ...

The official repository for MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification [pdf] [1]Wang Yuhao, Liu Xuehu, Zhang Pingping, Lu Hu, Tu Zhengzheng, Lu Huchuan.

Using Remote Direct Memory Access (RDMA) is the trend in data centers for achieving high throughput and low latency due to the benefits of hardware offloaded stacks. However, RDMA cannot provide ...