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End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks

The International journal of robotics research, 2018-04, Vol.37 (4-5), p.513-542

2018

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Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength

IEEE transactions on wireless communications, 2015-03, Vol.14 (3), p.1689-1702

2015

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VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.2652-2660

2017

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Event Encryption for Neuromorphic Vision Sensors: Framework, Algorithm, and Evaluation

Sensors (Basel, Switzerland), 2021-06, Vol.21 (13), p.4320

2021

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DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks

2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, p.2043-2050

2017

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Efficient Human Activity Recognition Solving the Confusing Activities via Deep Ensemble Learning

IEEE access, 2019-01, Vol.7, p.1-1

2019

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Decreased brain connectivity in smoking contrasts with increased connectivity in drinking

eLife, 2019-01, Vol.8

2019

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CS-CNN: Enabling Robust and Efficient Convolutional Neural Networks Inference for Internet-of-Things Applications

IEEE access, 2018-01, Vol.6, p.13439-13448

2018

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CS²-Collector: A New Approach for Data Collection in Wireless Sensor Networks Based on Two-Dimensional Compressive Sensing

Sensors (Basel, Switzerland), 2016-08, Vol.16 (8), p.1318

2016

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Dense 3D Object Reconstruction from a Single Depth View

IEEE transactions on pattern analysis and machine intelligence, 2019-12, Vol.41 (12), p.2820-2834

2019

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3D Object Reconstruction from a Single Depth View with Adversarial Learning

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017, p.679-688

2017

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Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, p.1910-1917

2016

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VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2017-02, Vol.31 (1)

2017

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Ranking Query Answers in Probabilistic Databases: Complexity and Efficient Algorithms

2012 IEEE 28th International Conference on Data Engineering, 2012, p.282-293

2012

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Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks

IEEE transactions on pattern analysis and machine intelligence, 2022-07, Vol.44 (7), p.3436-3449

2022

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RGBE-Gaze: A Large-scale Event-based Multimodal Dataset for High Frequency Remote Gaze Tracking

IEEE transactions on pattern analysis and machine intelligence, 2024-10, Vol.PP, p.1-15

2024

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Robust Indoor Positioning With Lifelong Learning

IEEE journal on selected areas in communications, 2015-11, Vol.33 (11), p.2287-2301

2015

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EV-Perturb: event-stream perturbation for privacy-preserving classification with dynamic vision sensors

Multimedia tools and applications, 2024-02, Vol.83 (6), p.16823-16847

2024

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EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.6351-6360

2019

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GaitLock: Protect Virtual and Augmented Reality Headsets Using Gait

IEEE transactions on dependable and secure computing, 2019-05, Vol.16 (3), p.484-497

2019

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Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning Approach

IEEE transactions on intelligent transportation systems, 2023-04, Vol.24 (4), p.3868-3881

2023

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Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search

IEEE transactions on intelligent transportation systems, 2022-03, Vol.23 (3), p.2549-2560

2022

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Lightweight map matching for indoor localisation using conditional random fields

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks, 2014, p.131-142

2014

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Privacy-preserving sparse representation classification in cloud-enabled mobile applications

Computer networks (Amsterdam, Netherlands : 1999), 2018-03, Vol.133, p.59-72

2018

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Predicting peritumoral edema development after gamma knife radiosurgery of meningiomas using machine learning methods: a multicenter study

European radiology, 2023-12, Vol.33 (12), p.8912-8924

2023

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End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks

Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

Event Encryption for Neuromorphic Vision Sensors: Framework, Algorithm, and Evaluation

DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks

Efficient Human Activity Recognition Solving the Confusing Activities via Deep Ensemble Learning

Decreased brain connectivity in smoking contrasts with increased connectivity in drinking

CS-CNN: Enabling Robust and Efficient Convolutional Neural Networks Inference for Internet-of-Things Applications

CS²-Collector: A New Approach for Data Collection in Wireless Sensor Networks Based on Two-Dimensional Compressive Sensing

Dense 3D Object Reconstruction from a Single Depth View

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

Ranking Query Answers in Probabilistic Databases: Complexity and Efficient Algorithms

Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks

RGBE-Gaze: A Large-scale Event-based Multimodal Dataset for High Frequency Remote Gaze Tracking

Robust Indoor Positioning With Lifelong Learning

EV-Perturb: event-stream perturbation for privacy-preserving classification with dynamic vision sensors

EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors

GaitLock: Protect Virtual and Augmented Reality Headsets Using Gait

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning Approach

Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search

Lightweight map matching for indoor localisation using conditional random fields

Privacy-preserving sparse representation classification in cloud-enabled mobile applications

Predicting peritumoral edema development after gamma knife radiosurgery of meningiomas using machine learning methods: a multicenter study

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