Kavli Affiliate: Feng Wang | First 5 Authors: Zhengyang Lu, Feng Wang, , , | Summary: Super-resolution techniques are crucial in improving image granularity, particularly in complex urban scenes, where preserving geometric structures is vital for data-informed cultural heritage applications. In this paper, we propose a city scene super-resolution method via geometric error minimization. The […]
Kavli Affiliate: Feng Wang | First 5 Authors: Lijun He, Ziye Jia, Juncheng Wang, Feng Wang, Erick Lansard | Summary: In Earth Observation Satellite Networks (EOSNs) with a large number of battery-carrying satellites, proper power allocation and task scheduling are crucial to improving the data offloading efficiency. As such, we jointly optimize power allocation and […]
Kavli Affiliate: Naomi S. Ginsberg | First 5 Authors: Matthew J. Hurley, Christian P. N. Tanner, Joshua Portner, James K. Utterback, Igor Coropceanu | Summary: Solution-phase bottom up self-assembly of nanocrystals into superstructures such as ordered superlattices is an attractive strategy to generate functional materials of increasing complexity, including very recent advances that incorporate strong […]
Kavli Affiliate: Naomi S. Ginsberg | First 5 Authors: Matthew J. Hurley, Christian P. N. Tanner, Joshua Portner, James K. Utterback, Igor Coropceanu | Summary: Solution-phase bottom up self-assembly of nanocrystals into superstructures such as ordered superlattices is an attractive strategy to generate functional materials of increasing complexity, including very recent advances that incorporate strong […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu | Summary: We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1. removing softmax […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: With the development of artificial intelligence, large-scale models have become increasingly intelligent. However, numerous studies indicate that hallucinations within these large models are a bottleneck hindering the development of AI research. In the pursuit of achieving strong artificial intelligence, a […]
Kavli Affiliate: Feng Wang | First 5 Authors: Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu | Summary: In the realm of artificial intelligence, the emergence of foundation models, backed by high computing capabilities and extensive data, has been revolutionary. Segment Anything Model (SAM), built on the Vision Transformer (ViT) model with millions […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]