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Fully connected layers are a primary source of memory and computational overhead in deep neural networks due to their dense, often redundant parameterization. While various compression techniques exist, they frequently introduce complex…

Machine Learning · Computer Science 2025-12-16 Maksymilian Szorc

We propose a general algorithm for non-conforming adaptive mesh refinement (AMR) of unstructured meshes in high-order finite element codes. Our focus is on h-refinement with a fixed polynomial order. The algorithm handles triangular,…

Numerical Analysis · Computer Science 2019-05-13 Jakub Červený , Veselin Dobrev , Tzanio Kolev

This paper explores the use of reconfigurable intelligent surfaces (RIS) in mitigating cross-system interference in spectrum sharing and secure wireless applications. Unlike conventional RIS that can only adjust the phase of the incoming…

Information Theory · Computer Science 2023-07-03 Fangzhou Wang , A. Lee Swindlehurst

Imitation learning is a powerful tool for training robot manipulation policies, allowing them to learn from expert demonstrations without manual programming or trial-and-error. However, common methods of data collection, such as human…

Robotics · Computer Science 2023-10-18 Murtaza Dalal , Ajay Mandlekar , Caelan Garrett , Ankur Handa , Ruslan Salakhutdinov , Dieter Fox

Developable surfaces are commonly observed in various applications such as architecture, product design, manufacturing, mechanical materials, and data physicalization as well as in the development of tangible interaction and deformable…

Graphics · Computer Science 2023-06-16 Chao Yuan , Nan Cao , Yang Shi

Movable antennas (MAs) and intelligent reflecting surfaces (IRSs) enable active antenna repositioning and passive phase-shift tuning for channel reconfiguration, respectively. Integrating MAs and IRSs boosts spatial degrees of freedom,…

Signal Processing · Electrical Eng. & Systems 2026-01-06 Qingqing Wu , Ziyuan Zheng , Ying Gao , Weidong Mei , Xin Wei , Wen Chen , Boyu Ning

Reconfigurable intelligent surface (RIS) is a two-dimensional periodic structure integrated with a large number of reflective elements, which can manipulate electromagnetic waves in a digital way, offering great potentials for wireless…

Machine Learning · Computer Science 2025-01-22 Zhen Zhang , Jun Hui Qiu , Jun Wei Zhang , Hui Dong Li , Dong Tang , Qiang Cheng , Wei Lin

Recently, the reconfigurable intelligent surface (RIS), benefited from the breakthrough on the fabrication of programmable meta-material, has been speculated as one of the key enabling technologies for the future six generation (6G)…

Information Theory · Computer Science 2022-06-23 Chongwen Huang , Ronghong Mo , Chau Yuen

While current talking head models are capable of generating photorealistic talking head videos, they provide limited pose controllability. Most methods require specific video sequences that should exactly contain the head pose desired,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-19 Kwangho Lee , Patrick Kwon , Myung Ki Lee , Namhyuk Ahn , Junsoo Lee

Active metasurfaces enable dynamic control of light for applications in beam steering, pixelated holography, and adaptive optics, but demonstrations of two-dimensional (2D) electrically addressable arrays have so far been limited. Here we…

Reconfigurable intelligent surfaces (RISs) are envisioned as a key enabler for next-generation wireless networks, offering programmable control over propagation environments. While extensive research focuses on planar RIS architectures,…

Signal Processing · Electrical Eng. & Systems 2026-02-16 Mohamadreza Delbari , Ehsan Mohammadi , Mostafa Darabi , Arash Asadi , Alejandro Jiménez-Sáez , Vahid Jamali

Conventional soft pneumatic actuators, typically based on hollow elastomeric chambers, often suffer from small structural support and require costly geometry-specific redesigns for multimodal functionality. Porous materials such as foam,…

Robotics · Computer Science 2025-12-16 Canqi Meng , Weibang Bai

The advancements in neural rendering have increased the need for techniques that enable intuitive editing of 3D objects represented as neural implicit surfaces. This paper introduces a novel neural algorithm for parameterizing neural…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Baixin Xu , Jiangbei Hu , Fei Hou , Kwan-Yee Lin , Wayne Wu , Chen Qian , Ying He

We present Neural Shape Deformation Priors, a novel method for shape manipulation that predicts mesh deformations of non-rigid objects from user-provided handle movements. State-of-the-art methods cast this problem as an optimization task,…

Computer Vision and Pattern Recognition · Computer Science 2023-02-02 Jiapeng Tang , Lev Markhasin , Bi Wang , Justus Thies , Matthias Nießner

We present a novel shape-approximating anisotropic re-meshing algorithm as a geometric generalization of the adaptive moving mesh method. Conventional moving mesh methods reduce the interpolation error of a mesh that discretizes a given…

Computational Geometry · Computer Science 2023-06-21 Nicolas Nebel , Albert Chern

Robotic surface consisting of many actuators can change shape to perform tasks, such as facilitating human-machine interactions and transporting objects. Increasing the number of actuators can enhance the robot's capacity, but controlling…

Robotics · Computer Science 2024-12-03 Yuchen Zhao

In this paper, we focus on radar imaging using active sensing with a single transceiver and reconfigurable intelligent surface (RIS). RISs are arrays with tunable passive phase shifter elements that can modify the propagation channel. The…

Signal Processing · Electrical Eng. & Systems 2023-08-14 R. S. Prasobh Sankar , Sundeep Prabhakar Chepuri

Intelligent reflecting surface (IRS) is an emerging technology to enhance spatial multiplexing in wireless networks. This letter considers the discrete passive beamforming design for IRS in order to maximize the minimum…

Information Theory · Computer Science 2024-08-29 Wenhai Lai , Zheyu Wu , Yi Feng , Kaiming Shen , Ya-Feng Liu

In intelligent manufacturing, robots are asked to dynamically adapt their behaviours without reducing productivity. Human teaching, where an operator physically interacts with the robot to demonstrate a new task, is a promising strategy to…

Robotics · Computer Science 2024-12-04 Matteo Dalle Vedove , Edoardo Lamon , Daniele Fontanelli , Luigi Palopoli , Matteo Saveriano

In this paper, we study a communication-centric integrated sensing and communication (ISAC) approach, where an access point (AP) communicates with users, while a passive radar (PR) is present in the environment. We investigate the…

Signal Processing · Electrical Eng. & Systems 2022-10-24 Ahmad Bazzi , Marwa Chafii
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