Generalizing Event-Based Motion Deblurring in Real-World Scenarios

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Lei Yu, Wen Yang, Jianzhuang Liu, Gui-Song Xia | Summary: Event-based motion deblurring has shown promising results by exploiting low-latency events. However, current approaches are limited in their practical usage, as they assume the same spatial resolution of inputs and specific blurriness distributions. This work […]


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Optimizing Cache Content Placement in Integrated Terrestrial and Non-terrestrial Networks

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Giovanni Geraci, Tony Q. S. Quek, , | Summary: Non-terrestrial networks (NTN) offer potential for efficient content broadcast in remote regions, thereby extending the reach of digital services. In this paper, we introduce a novel approach to optimize wireless edge content placement using NTN. Specifically, […]


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Optimizing Cache Content Placement in Integrated Terrestrial and Non-terrestrial Networks

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Giovanni Geraci, Lingxiang Li, Peng Wang, Tony Q. S. Quek | Summary: Non-terrestrial networks (NTN) have emerged as a transformative solution to bridge the digital divide and deliver essential services to remote and underserved areas. In this context, low Earth orbit (LEO) satellite constellations offer […]


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Wireless Edge Content Broadcast via Integrated Terrestrial and Non-terrestrial Networks

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Giovanni Geraci, Lingxiang Li, Peng Wang, Tony Q. S. Quek | Summary: Non-terrestrial networks (NTN) have emerged as a transformative solution to bridge the digital divide and deliver essential services to remote and underserved areas. In this context, low Earth orbit (LEO) satellite constellations offer […]


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FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels

Kavli Affiliate: Feng Wang | First 5 Authors: Lue Fan, Feng Wang, Naiyan Wang, Zhaoxiang Zhang, | Summary: LiDAR-based fully sparse architecture has garnered increasing attention. FSDv1 stands out as a representative work, achieving impressive efficacy and efficiency, albeit with intricate structures and handcrafted designs. In this paper, we present FSDv2, an evolution that aims […]


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Interpretable inverse-designed cavity for on-chip nonlinear and quantum optics

Kavli Affiliate: Eli Yablonovitch | Summary:Inverse design is a powerful tool in wave-physics and in particular in photonics for compact, high-performance devices. To date, applications have mostly been limited to linear systems and it has rarely been investigated or demonstrated in the nonlinear regime. In addition, the "black box" nature of inverse design techniques has […]


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Maximally-Localized Exciton Wannier Functions for Solids

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Jonah B. Haber, Diana Y. Qiu, Felipe H. da Jornada, Jeffrey B. Neaton, | Summary: We introduce a maximally-localized Wannier function representation of Bloch excitons, two-particle correlated electron-hole excitations, in crystalline solids, where the excitons are maximally-localized with respect to an average electron-hole coordinate in real […]


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Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion

Kavli Affiliate: Feng Wang | First 5 Authors: Yang Liu, Feng Wang, Naiyan Wang, Zhaoxiang Zhang, | Summary: Radar is ubiquitous in autonomous driving systems due to its low cost and good adaptability to bad weather. Nevertheless, the radar detection performance is usually inferior because its point cloud is sparse and not accurate due to […]


Continue.. Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion

Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion

Kavli Affiliate: Feng Wang | First 5 Authors: Yang Liu, Feng Wang, Naiyan Wang, Zhaoxiang Zhang, | Summary: Radar is ubiquitous in autonomous driving systems due to its low cost and good adaptability to bad weather. Nevertheless, the radar detection performance is usually inferior because its point cloud is sparse and not accurate due to […]


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A universal equivariant graph neural network for the elasticity tensors of any crystal system

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Mingjian Wen, Matthew K. Horton, Jason M. Munro, Patrick Huck, Kristin A. Persson | Summary: The elasticity tensor that describes the elastic response of a material to external forces is among the most fundamental properties of materials. The availability of full elasticity tensors for inorganic crystalline […]


Continue.. A universal equivariant graph neural network for the elasticity tensors of any crystal system