3.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OsloNO153 papers
- Centre National de la Recherche ScientifiqueFR139 papers
- KTH Royal Institute of TechnologySE92 papers
- SINTEFNO92 papers
- Johannes Gutenberg University MainzDE57 papers
- Delft University of TechnologyNL56 papers
- University of CopenhagenDK55 papers
- ETH ZurichCH46 papers
- Tomsk State Pedagogical UniversityRU44 papers
- University of CambridgeGB41 papers
- Stockholm UniversitySE40 papers
- Eindhoven University of TechnologyNL38 papers
3,126 papers
Adaptive Mean Flow for Responsive Closed-Loop Robot Control
Aksel Vaaler, Marco Job, Christian Holden +1
Diffusion- and flow-based robot policies have recently become widespread in robotic Imitation Learning (IL) due to their high performance and ability to model continuous and multim…
CEM-TUDASR: Computationally efficient multi-modality transformer based unsupervised domain adaptive super-resolution approach
Anjali Sarvaiya, Jay Kadel, Kishor Upla +1
Wireless Capsule Endoscopy (WCE) enables non-invasive visualization of the gastrointestinal tract, but its miniaturized optics, sensor limitations, and wireless transmission constr…
UnCapsTSR: An Unsupervised Transformer-based Image Super-Resolution Approach for Capsule Endoscopy Images
Anjali Sarvaiya, Shubh Kawa, Lalit Agrawal +3
Wireless Capsule Endoscopy (WCE) captures and streams video while passing through a patient's Gastrointestinal (GI) tract and is used to examine its irregularities. Although advant…
Local phase-space Berry curvature and Hall transport in textured twisted bilayer graphene
Tohid Farajollahpour
Slow twist-angle and heterostrain textures in twisted bilayer graphene provide a natural route to phase-space Berry geometry. We show that a purely geometric tetrad/shift sector do…
CryoAnomaly: Few-Shot Cryo-EM Particle Picking via Anomaly-Guided Hard Negative Suppression
Riku Itsuji, Rintaro Otsubo, Ryo Fujii +4
Cryo-electron microscopy (cryo-EM) is crucial for analyzing 3D biological structures, in which automated particle picking is essential for the workflow. However, fully supervised m…
OpenVeinNet: Robust Open-Set Finger Vein Verification with Dynamic Snake Convolution and Graph Learning
Sushrut Patwardhan, Raghavendra Ramachandra
Finger vein verification is a promising biometric modality for secure authentication because vascular patterns are internal, difficult to observe externally, and relatively resista…
FDTBX - Computational Tools for Simulation of X-ray Fiber Diffraction Patterns from Atomic Coordinates
Pawel Sikorski
Fiber diffraction is one of the few experimental techniques capable of resolving molecular structure in partially ordered, non-crystalline systems such as fibrous proteins, biopoly…
Bisimulations and Modal Logics for Higher Dimensional Automata
Safa Zouari, Rob van Glabbeek, Krzysztof Ziemiański
Higher-Dimensional Automata (HDAs) provide a geometric model of true concurrency. While hereditary history-preserving (hhp) bisimilarity is the finest behavioural equivalence in va…
Large bias-tunable magnetoresistance from spin-dependent interlayer hybridization in van der Waals antiferromagnet CrSBr-based heterostructures
Sadeed Hameed, Aditya Kumar, Chengjie Yu +5
We explore the large magnetoresistance (MR) in \ce{hBN}/few-layer-graphene/\ce{CrSBr}/few-layer-graphene heterostructures and reveal the mechanism behind its non-monotonic bias dep…
Frequency demodulation with magnetoelectric coreshells: A novel approach to enhanced bio-stimulation
Ram Prasadh Narayanan, Ali Khaleghi, Ilangko Balasingham
Magnetoelectric (ME) coreshell devices have interesting applications in biomedical technologies including biosensing and communication, due to their strong inter-coupling between t…
Advancing Brain-Machine Interfaces: High Data Rate Battery-Free Implants
Aminolah Hasanvand, Ali Khaleghi, Cyril Beguet +2
Implantable wireless brain-machine interfaces (BMI) encounter significant challenges in miniaturization, power consumption, and high data volume. While systems utilizing high resol…
Ultra-wideband statistical propagation channel model for implant sensors in the human chest
Ali Khaleghi, Raúl Chávez-Santiago, Ilangko Balasingham
Implant medical wireless sensors for monitoring physiological parameters, automatic drug provision, and so on represent a new promising healthcare technology. Inherent characterist…
Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks
Raul Chavez-Santiago, Kamran Sayrafian-Pour, Ali Khaleghi +4
A body area network is a radio communication protocol for short-range, low-power, and highly reliable wireless communication for use on the surface, inside, or in the peripheral pr…
Optimal Placement of Docking Stations and Resident AUVs for Subsea Pipeline Inspection
Gabrielė Kasparavičiūtė, Pasquale Grippa, Kjetil Skaugset +2
A two-stage mixed-integer linear programming framework is introduced for subsea pipeline incident response planning, jointly optimizing Subsea Docking Plate (SDP) placement and res…
On Hardware-Aware Design and Optimization of Edge Intelligence
Shuo Huai, Hao Kong, Xiangzhong Luo +5
Edge intelligence systems, the intersection of edge computing and artificial intelligence (AI), are pushing the frontier of AI applications. However, the complexity of deep learnin…
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Hao Kong, Di Liu, Xiangzhong Luo +5
In this paper, we propose TECO, a multi-dimensional pruning framework to collaboratively prune the three dimensions (depth, width, and resolution) of convolutional neural networks…
FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection
Vikash Sathiamoorthy, Shuo Huai, Hao Kong +7
Federated learning (FL) is a collaborative learning scheme to train deep learning models, where collaborating parties can consolidate their models without sharing local data with o…
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI
Hao Kong, Di Liu, Shuo Huai +5
Convolutional neural networks (CNNs) have demonstrated encouraging results in image classification tasks. However, the prohibitive computational cost of CNNs hinders the deployment…
Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization
Shuo Huai, Di Liu, Hao Kong +4
Deep learning applications have been widely adopted on edge devices, to mitigate the privacy and latency issues of accessing cloud servers. Deciding the number of neurons during th…
Antenna System for Simultaneous Wireless Power and Information Transfer to Brain Implants
Ali Khaleghi, Aminolah Hassanvand, Ilangko Balasingham
Brain-Computer Interfaces (BCIs) have revolutionized neuroscience applications, from motor rehabilitation to neuroergonomics. Traditional implantable BCIs with invasive microelectr…
Assessing Cardiac Dynamics through RF Sensing for Hemodynamic Monitoring in Pacemakers
A. Khaleghi, J. Bergsland, I. Balasingham
This paper examines the use of radiofrequency (RF) channels for hemodynamic monitoring in cardiac pacemakers. It analyzes RF signal variations between intracardiac transceivers in…
Breaking symmetry to create a parallel-plate varactor dielectric with unparalleled microwave performance
Florian Bergmann, Matthew R. Barone, Zishen Tian +24
Voltage-tunable capacitors (varactors) are key to microwave circuits. Tunable dielectric varactors outperform competing technologies in almost every relevant metric but usually suf…
The Evolution of Digital Twins from Reactive to Agentic Systems
Omer San, Adil Rasheed, Eda Bozdemir +1
Digital twins are evolving into self-learning, autonomous systems that link models, data, and human interaction. Realizing their full potential depends on interoperability, standar…
Resilience of IEC 61850 Sampled Values-Based Protection Systems Under Coordinated False Data Injections
Denys Mishchenko, Irina Oleinikova, Laszlo Erdodi
This paper assesses the resilience of IEC 61850 digital substations under False Data Injection Attacks (FDIAs) targeting the Sampled Values (SV) protocol. The multicast nature of S…