Agathoniki Trigoni

Orcid: 0000-0001-6236-9645

Affiliations:
  • University of Oxford, UK


According to our database1, Agathoniki Trigoni authored at least 208 papers between 2001 and 2024.

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Bibliography

2024
Multiscale Human Activity Recognition and Anticipation Network.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Illumination-Aware Hallucination-Based Domain Adaptation for Thermal Pedestrian Detection.
IEEE Trans. Intell. Transp. Syst., January, 2024

EgoCap and EgoFormer: First-person image captioning with context fusion.
Pattern Recognit. Lett., 2024

Towards Multi-Modal Animal Pose Estimation: An In-Depth Analysis.
CoRR, 2024

MambaLoc: Efficient Camera Localisation via State Space Model.
CoRR, 2024

SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field.
CoRR, 2024

Pre-training Feature Guided Diffusion Model for Speech Enhancement.
CoRR, 2024

WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization.
CoRR, 2024

See, Imagine, Plan: Discovering and Hallucinating Tasks from a Single Image.
CoRR, 2024

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition.
CoRR, 2024

Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Sound3DVDet: 3D Sound Source Detection using Multiview Microphone Array and RGB Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

SSL-Net: A Synergistic Spectral and Learning-Based Network for Efficient Bird Sound Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

ZeST: Zero-Shot Material Transfer from a Single Image.
Proceedings of the Computer Vision - ECCV 2024, 2024

Revealing semantic mappings across HAR datasets.
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Continuous 3D Words for Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals.
IEEE Internet Things J., 2023

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios.
CoRR, 2023

Deep Learning for Visual Localization and Mapping: A Survey.
CoRR, 2023

DynPoint: Dynamic Neural Point For View Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Conditions.
IROS, 2023

Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Invited Paper: Hierarchical Activity Recognition with Smartwatch IMU.
Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multiple Early-Exits Strategy for Distributed Deep Neural Network Inference.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

mmPoint: Dense Human Point Cloud Generation from mmWave.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Deep learning-based robust positioning for all-weather autonomous driving.
Nat. Mac. Intell., September, 2022

Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks.
IEEE Trans. Robotics, 2022

iMag+: An Accurate and Rapidly Deployable Inertial Magneto-Inductive SLAM System.
IEEE Trans. Mob. Comput., 2022

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation.
Neural Networks, 2022

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds.
Int. J. Comput. Vis., 2022

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds.
CoRR, 2022

DeepAoANet: Learning Angle of Arrival From Software Defined Radios With Deep Neural Networks.
IEEE Access, 2022

Scene Understanding in Emergency Applications: Challenges and Lessons Learnt.
Proceedings of the 11th International Conference on Sensor Networks, 2022

RoomE and WatchBLoc: A BLE and Smartwatch IMU Algorithm and Dataset for Room-Level Localisation in Privacy-Preserving Environments.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022

DeepCIR: Insights into CIR-based Data-driven UWB Error Mitigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Uncertainty Estimation with a VAE-Classifier Hybrid Model.
Proceedings of the IEEE International Conference on Acoustics, 2022

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Meta-sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation.
Proceedings of the Conference on Robot Learning, 2022

Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning With Stochastic Guidance for Robot Navigation.
IEEE Trans. Neural Networks Learn. Syst., 2021

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units.
IEEE Trans. Mob. Comput., 2021

Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment.
CoRR, 2021

DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks.
CoRR, 2021

SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform.
CoRR, 2021

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels.
CoRR, 2021

Human tracking and identification through a millimeter wave radar.
Ad Hoc Networks, 2021

Editorial for special issue on "D-Sense: Algorithms, systems and applications of distributed sensing".
Ad Hoc Networks, 2021

Cut, Distil and Encode (CDE): Split Cloud-Edge Deep Inference.
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021

3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

RadarLoc: Learning to Relocalize in FMCW Radar.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform.
Proceedings of the 38th International Conference on Machine Learning, 2021

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination.
IEEE Robotics Autom. Lett., 2020

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference.
IEEE Internet Things J., 2020

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction.
Int. J. Comput. Vis., 2020

3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar.
CoRR, 2020

Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors.
CoRR, 2020

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence.
CoRR, 2020

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion.
CoRR, 2020

MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization.
CoRR, 2020

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization.
CoRR, 2020

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference.
CoRR, 2020

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Indoor positioning system in visually-degraded environments with millimetre-wave radar and inertial sensors: demo abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

See through smoke: robust indoor mapping with low-cost mmWave radar.
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

Heart Rate Sensing with a Robot Mounted mmWave Radar.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AtLoc: Attention Guided Camera Localization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Efficient Indoor Positioning with Visual Experiences via Lifelong Learning.
IEEE Trans. Mob. Comput., 2019

Semantic Place Understanding for Human-Robot Coexistence - Toward Intelligent Workplaces.
IEEE Trans. Hum. Mach. Syst., 2019

Dense 3D Object Reconstruction from a Single Depth View.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data.
IEEE Internet Things J., 2019

SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion.
CoRR, 2019

SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation.
CoRR, 2019

Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor.
CoRR, 2019

Balancing Reconstruction Quality and Regularisation in ELBO for VAEs.
CoRR, 2019

WiSE-VAE: Wide Sample Estimator VAE.
CoRR, 2019

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues.
Proceedings of the World Wide Web Conference, 2019

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Distilling Knowledge From a Deep Pose Regressor Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

mID: Tracking and Identifying People with Millimeter Wave Radar.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

Map-aided Navigation for Emergency Searches.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

Selective Sensor Fusion for Neural Visual-Inertial Odometry.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MotionTransformer: Transferring Neural Inertial Tracking between Domains.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks.
Int. J. Robotics Res., 2018

Visual SLAM and Structure from Motion in Dynamic Environments: A Survey.
ACM Comput. Surv., 2018

Learning with Stochastic Guidance for Navigation.
CoRR, 2018

Transferring Physical Motion Between Domains for Neural Inertial Tracking.
CoRR, 2018

OxIOD: The Dataset for Deep Inertial Odometry.
CoRR, 2018

Neural Allocentric Intuitive Physics Prediction from Real Videos.
CoRR, 2018

Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction.
CoRR, 2018

3D Object Dense Reconstruction from a Single Depth View.
CoRR, 2018

Performance evaluation of IEEE 802.15.4 with real time queueing analysis.
Ad Hoc Networks, 2018

Multiple-Model Fully Convolutional Neural Networks for Single Object Tracking on Thermal Infrared Video.
IEEE Access, 2018

Automatic Face Recognition Adaptation via Ambient Wireless Identifiers.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Graph-theoretic approach for UAV-aided network connectivity.
Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, 2018

CommonSense: Collaborative learning of scene semantics by robots and humans.
Proceedings of the 1st International Workshop on Internet of People, 2018

Simultaneous Localization and Mapping with Power Network Electromagnetic Field.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

iMag: Accurate and Rapidly Deployable Inertial Magneto-Inductive Localisation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Learning 3D Scene Semantics and Structure From a Single Depth Image.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

IONet: Learning to Cure the Curse of Drift in Inertial Odometry.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Tracking People in Highly Dynamic Industrial Environments.
IEEE Trans. Mob. Comput., 2017

Neighbor-Aided Localization in Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2017

Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning.
CoRR, 2017

VidLoc: 6-DoF Video-Clip Relocalization.
CoRR, 2017

Towards Self-supervised Face Labeling via Cross-modality Association.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

VeriNet: User Verification on Smartwatches via Behavior Biometrics.
Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017

GraphTinker: Outlier rejection and inlier injection for pose graph SLAM.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

SCAN: learning speaker identity from noisy sensor data.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

3D Object Reconstruction from a Single Depth View with Adversarial Learning.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Underground Incrementally Deployed Magneto-Inductive 3-D Positioning Network.
IEEE Trans. Geosci. Remote. Sens., 2016

Gaussian Process Regression for Fingerprinting based Localization.
Ad Hoc Networks, 2016

Impact of Rocks and Minerals on Underground Magneto-Inductive Communication and Localization.
IEEE Access, 2016

Robust occupancy inference with commodity WiFi.
Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Poster Abstract: Efficient Visual Positioning with Adaptive Parameter Learning.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength.
IEEE Trans. Wirel. Commun., 2015

Indoor Tracking Using Undirected Graphical Models.
IEEE Trans. Mob. Comput., 2015

Accuracy Estimation for Sensor Systems.
IEEE Trans. Mob. Comput., 2015

Robust Indoor Positioning With Lifelong Learning.
IEEE J. Sel. Areas Commun., 2015

Distortion Rejecting Magneto-Inductive Three-Dimensional Localization (MagLoc).
IEEE J. Sel. Areas Commun., 2015

Accurate Positioning via Cross-Modality Training.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Robust vision-based indoor localization.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

Opportunistic Radio Assisted Navigation for Autonomous Ground Vehicles.
Proceedings of the 2015 International Conference on Distributed Computing in Sensor Systems, 2015

2014
Effect of clutter topology on multi-hop localizer placement.
Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014

Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning.
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

Lightweight map matching for indoor localisation using conditional random fields.
Proceedings of the IPSN'14, 2014

Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014

2013
Distributed constraint optimisation for resource limited sensor networks.
Sci. Comput. Program., 2013

Identification and mitigation of non-line-of-sight conditions using received signal strength.
Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

Adaptive node placement for improving localization accuracy in clutter-prone environments.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

High-precision Indoor Positioning Systems - Challenges and Research Directions.
Proceedings of the SENSORNETS 2013, 2013

On Assessing the Accuracy of Positioning Systems in Indoor Environments.
Proceedings of the Wireless Sensor Networks - 10th European Conference, 2013

Comparison of Accuracy Estimation Approaches for Sensor Networks.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2013

Application Scenarios.
Proceedings of the Mobile Ad Hoc Networking: Cutting Edge Directions, Second Edition, 2013

2012
WILDSENSING: Design and deployment of a sustainable sensor network for wildlife monitoring.
ACM Trans. Sens. Networks, 2012

Encounter based sensor tracking.
Proceedings of the Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2012

Magneto-inductive networked rescue system (MINERS): taking sensor networks underground.
Proceedings of the 11th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2012), 2012

2011
Efficient Data Propagation in Traffic-Monitoring Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2011

The Automatic Evolution of Distributed Controllers to Configure Sensor Network Operation.
Comput. J., 2011

Practical Issues in Deploying Mobile Agents to Explore a Sensor-Instrumented Environment.
Comput. J., 2011

Dynamic node placement for multi-hop localization in cluttered environments.
Proceedings of the 8th Annual IEEE Communications Society Conference on Sensor, 2011

Convex programming based robust localization in NLOS prone cluttered environments.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

2010
Distributed localization in cluttered underwater environments.
Proceedings of the Workshop on Underwater Networks, 2010

Effect of Rainfall on Link Quality in an Outdoor Forest Deployment.
Proceedings of the WINSYS 2010 - Proceedings of the International Conference on Wireless Information Networks and Systems, Athens, Greece, July 26, 2010

Magneto-inductive tracking of underground animals.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010

Revealing the hidden lives of underground animals using magneto-inductive tracking.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010

Evolution and sustainability of a wildlife monitoring sensor network.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010

Robust localization in cluttered environments with NLOS propagation.
Proceedings of the IEEE 7th International Conference on Mobile Adhoc and Sensor Systems, 2010

Discrete Gene Regulatory Networks (dGRNs): A Novel Approach to Configuring Sensor Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Probabilistic search with agile UAVs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Probabilistic target detection by camera-equipped UAVs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Supporting Search and Rescue Operations with UAVs.
Proceedings of the 2010 International Conference on Emerging Security Technologies, 2010

2009
Rapid exploration of unknown areas through dynamic deployment of mobile and stationary sensor nodes.
Auton. Agents Multi Agent Syst., 2009

Wildlife and environmental monitoring using RFID and WSN technology.
Proceedings of the 7th International Conference on Embedded Networked Sensor Systems, 2009

An Underwater Robotic Network for Monitoring Nuclear Waste Storage Pools.
Proceedings of the Sensor Systems and Software, 2009

Jointly optimizing data acquisition and delivery in traffic monitoring VANETs.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

TwinRoute: Energy-Efficient Data Collection in Fixed Sensor Networks with Mobile Sinks.
Proceedings of the MDM 2009, 2009

2008
Delay-bounded routing in vehicular ad-hoc networks.
Proceedings of the 9th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2008

HybridExploration: A distributed approach to terrain exploration using mobile and fixed sensor nodes.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Robot-assisted discovery of evacuation routes in emergency scenarios.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Interplay of Processing and Routing in Aggregate Query Optimization for Sensor Networks.
Proceedings of the Distributed Computing and Networking, 9th International Conference, 2008

Fault-Tolerant Compression Algorithms for Delay-Sensitive Sensor Networks with Unreliable Links.
Proceedings of the Distributed Computing in Sensor Systems, 2008

TIME: An Open Platform for Capturing, Processing and Delivering Transport-Related Data.
Proceedings of the 5th IEEE Consumer Communications and Networking Conference, 2008

2007
Wave scheduling and routing in sensor networks.
ACM Trans. Sens. Networks, 2007

Utilizing Correlations to Compress Time-Series in Traffic Monitoring Sensor Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

A drift-tolerant model for data management in ocean sensor networks.
Proceedings of the Sixth ACM International Workshop on Data Engineering for Wireless and Mobile Access, 2007

Brick & Mortar: an on-line multi-agent exploration algorithm.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006
A Study of Approximate Data Management Techniques for Sensor Networks.
Proceedings of the 4th International Workshop on Intelligent Solutions in Embedded Systems, 2006

Routing and processing multiple aggregate queries in sensor networks.
Proceedings of the 4th International Conference on Embedded Networked Sensor Systems, 2006

Impact of Drifter Deployment on the Quality of Ocean Sensing.
Proceedings of the GeoSensor Networks, Second International Conference, 2006

Correlation-based data dissemination in traffic monitoring sensor networks.
Proceedings of the 2006 ACM Conference on Emerging Network Experiment and Technology, 2006

2005
Multi-query Optimization for Sensor Networks.
Proceedings of the Distributed Computing in Sensor Systems, 2005

2004
Hybrid Push-Pull Query Processing for Sensor Networks.
Proceedings of the 34. Jahrestagung der Gesellschaft für Informatik, 2004

WaveScheduling: energy-efficient data dissemination for sensor networks.
Proceedings of the 1st Workshop on Data Management for Sensor Networks, 2004

2003
The Cougar Project: a work-in-progress report.
SIGMOD Rec., 2003

2002
Semantic optimization of OQL queries.
PhD thesis, 2002

Interactive Query Formulation in Semistructured Databases.
Proceedings of the Flexible Query Answering Systems, 5th International Conference, 2002

2001
Using Association Rules to Add or Eliminate Query Constraints Automatically.
Proceedings of the 13th International Conference on Scientific and Statistical Database Management, 2001

Inferring the Principal Type and the Schema Requirements of an OQL Query.
Proceedings of the Advances in Databases, 18th British National Conference on Databases, 2001


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