activity
20202026
most citedAIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

5 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts

Alexander K. Saeri, Jess Graham, Michael Noetel +185

Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…

cs.AI2024★ 5 cited

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas

Xiang Hu, Hongyu Fu, Jinge Wang +7

Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produc…

q-bio.OT2024

Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review

Jinge Wang, Zien Cheng, Qiuming Yao +3

The year 2023 marked a significant surge in the exploration of applying large language model (LLM) chatbots, notably ChatGPT, across various disciplines. We surveyed the applicatio…

cs.CV2020★ 1 cited

Deformable Kernel Convolutional Network for Video Extreme Super-Resolution

Xuan Xu, Xin Xiong, Jinge Wang +1

Video super-resolution, which attempts to reconstruct high-resolution video frames from their corresponding low-resolution versions, has received increasingly more attention in rec…

cs.CV2020★ 5 cited

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

Dario Fuoli, Zhiwu Huang, Shuhang Gu +23

This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution (VSR)…