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Forthcoming 6G networks have two predominant features of wide coverage and sufficient computation capability. To support the promising applications, Integrated Sensing, Communication, and Computation (ISCC) has been considered as a vital…

Systems and Control · Electrical Eng. & Systems 2024-07-17 Bin Li , Wancheng Xie , Zesong Fei

Integrated Sensing and Communications (ISAC) enables efficient spectrum utilization and reduces hardware costs for beyond 5G (B5G) and 6G networks, facilitating intelligent applications that require both high-performance communication and…

Signal Processing · Electrical Eng. & Systems 2026-01-21 Di Zhang , Yuanhao Cui , Xiaowen Cao , Nanchi Su , Yi Gong , Fan Liu , Weijie Yuan , Xiaojun Jing , J. Andrew Zhang , Jie Xu , Christos Masouros , Dusit Niyato , Marco Di Renzo

Integrated Sensing and Communications (ISAC) is one of the core technologies of 6G, which combines sensing and communication functions into a single system. However, limited computing and storage resources make it impractical to combine…

Signal Processing · Electrical Eng. & Systems 2024-06-04 Jiacheng Wang , Hongyang Du , Geng Sun , Jiawen Kang , Haibo Zhou , Dusit Niyato , Jiming Chen

Computation off-loading in mobile edge computing (MEC) systems constitutes an efficient paradigm of supporting resource-intensive applications on mobile devices. However, the benefit of MEC cannot be fully exploited, when the communications…

Signal Processing · Electrical Eng. & Systems 2020-05-14 Tong Bai , Cunhua Pan , Yansha Deng , Maged Elkashlan , Arumugam Nallanathan , Lajos Hanzo

3D reconstruction and simulation, although interrelated, have distinct objectives: reconstruction requires a flexible 3D representation that can adapt to diverse scenes, while simulation needs a structured representation to model motion…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Shaojie Ma , Yawei Luo , Wei Yang , Yi Yang

Language-augmented scene representations hold great promise for large-scale robotics applications such as search-and-rescue, smart cities, and mining. Many of these scenarios are time-sensitive, requiring rapid scene encoding while also…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Laszlo Szilagyi , Francis Engelmann , Jeannette Bohg

In this paper, we present a real-time photo-realistic SLAM method based on marrying Gaussian Splatting with LiDAR-Inertial-Camera SLAM. Most existing radiance-field-based SLAM systems mainly focus on bounded indoor environments, equipped…

Robotics · Computer Science 2025-08-21 Xiaolei Lang , Laijian Li , Chenming Wu , Chen Zhao , Lina Liu , Yong Liu , Jiajun Lv , Xingxing Zuo

Achieving sharp 3D reconstruction from motion-blurred images alone becomes challenging, motivating recent methods to incorporate event cameras, benefiting from microsecond temporal resolution. However, they suffer from residual artifacts…

Computer Vision and Pattern Recognition · Computer Science 2026-04-27 Feiyu An , Yufei Deng , Zihui Zhang , Rong Xiao

In this paper, we propose a novel joint active and passive beamforming approach for integrated sensing and communication (ISAC) transmission with assistance of reconfigurable intelligent surfaces (RISs) to simultaneously detect a target and…

Signal Processing · Electrical Eng. & Systems 2022-10-26 Xiao Meng , Fan Liu , Shihang Lu , Sundeep Prabhakar Chepuri , Christos Masouros

We introduce RGS-SLAM, a robust Gaussian-splatting SLAM framework that replaces the residual-driven densification stage of GS-SLAM with a training-free correspondence-to-Gaussian initialization. Instead of progressively adding Gaussians as…

Computer Vision and Pattern Recognition · Computer Science 2026-01-16 Wei-Tse Cheng , Yen-Jen Chiou , Yuan-Fu Yang

The visualization of volumetric medical data is crucial for enhancing diagnostic accuracy and improving surgical planning and education. Cinematic rendering techniques significantly enrich this process by providing high-quality…

Computer Vision and Pattern Recognition · Computer Science 2025-07-10 Chengkun Li , Yuqi Tong , Kai Chen , Zhenya Yang , Ruiyang Li , Shi Qiu , Jason Ying-Kuen Chan , Pheng-Ann Heng , Qi Dou

3D Gaussian Splatting (3DGS) enables high-quality rendering of 3D scenes and is getting increasing adoption in domains like autonomous driving and embodied intelligence. However, 3DGS still faces major efficiency challenges when faced with…

Hardware Architecture · Computer Science 2025-07-31 Linye Wei , Jiajun Tang , Fan Fei , Boxin Shi , Runsheng Wang , Meng Li

This letter presents a detailed performance analysis of the intelligent reflecting surface (IRS) aided single-input single-output communication systems, taking into account of the direct link between the transmitter and receiver. A…

Information Theory · Computer Science 2020-08-04 Qin Tao , Junwei Wang , Caijun Zhong

Traditional SLAM algorithms excel at camera tracking, but typically produce incomplete and low-resolution maps that are not tightly integrated with semantics prediction. Recent work integrates Gaussian Splatting (GS) into SLAM to enable…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Mingqi Jiang , Chanho Kim , Chen Ziwen , Li Fuxin

High-fidelity 3D Gaussian Splatting methods excel at capturing fine textures but often overlook model compactness, resulting in massive splat counts, bloated memory, long training, and complex post-processing. We present Micro-Splatting:…

Graphics · Computer Science 2025-09-03 Jee Won Lee , Hansol Lim , Sooyeun Yang , Jongseong Brad Choi

This paper investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the active RIS is equipped with active reflective amplifier, which can effectively circumvent…

Signal Processing · Electrical Eng. & Systems 2022-09-08 Zhangjie Peng , Ruisong Weng , Zhenkun Zhang , Cunhua Pan , Jiangzhou Wang

Recently, Gaussian splatting has emerged as a strong alternative to NeRF, demonstrating impressive 3D modeling capabilities while requiring only a fraction of the training and rendering time. In this paper, we show how the standard Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Luca Savant Aira , Gabriele Facciolo , Thibaud Ehret

In this paper, we investigate an intelligent reflecting surface (IRS) assisted cell-free multiple input multiple output (MIMO) communication system, where distributed multiple IRSs are dedicated deployed to assist distributed multiple base…

Information Theory · Computer Science 2021-08-18 Xie Xie , Chen He , Xiaoya Li , Kun Yang , Z. Jane Wang

Over the past years, we have observed an abundance of approaches for modeling dynamic 3D scenes using Gaussian Splatting (GS). Such solutions use GS to represent the scene's structure and the neural network to model dynamics. Such…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Joanna Waczyńska , Piotr Borycki , Joanna Kaleta , Sławomir Tadeja , Przemysław Spurek

High-fidelity reconstruction of deformable tissues from endoscopic videos remains challenging due to the limitations of existing methods in capturing subtle color variations and modeling global deformations. While 3D Gaussian Splatting…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Qun Ji , Peng Li , Mingqiang Wei
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