Hugo Latapie

Orcid: 0000-0003-2755-5930

According to our database1, Hugo Latapie authored at least 53 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection.
ACM Trans. Auton. Adapt. Syst., September, 2024

Conjunctive block coding for hyperdimensional graph representation.
Intell. Syst. Appl., 2024

VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation.
CoRR, 2024

DεS: Delayed ε-Shrinking for Faster Once-For-All Training.
CoRR, 2024

TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection.
CoRR, 2024

HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning.
CoRR, 2024

Adaptive Deep Neural Network Inference Optimization with EENet.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MetaFL: Privacy-preserving User Authentication in Virtual Reality with Federated Learning.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

VQPy: An Object-Oriented Approach to Modern Video Analytics.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Poster Abstract: Listen and Then Sense: Vibration-based Sports Crowd Monitoring by Pre-training with Public Audio Datasets.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning.
Proceedings of the Ninth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2024

High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning.
Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-device Inference.
Proceedings of the Computer Vision - ECCV 2024, 2024

DεpS: Delayed ε-Shrinking for Faster Once-for-All Training.
Proceedings of the Computer Vision - ECCV 2024, 2024

FloHR: Ubiquitous Heart Rate Measurement using Indirect Floor Vibration Sensing.
Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar.
CoRR, 2023

Ethosight: A Reasoning-Guided Iterative Learning System for Nuanced Perception based on Joint-Embedding & Contextual Label Affinity.
CoRR, 2023

RecallM: An Architecture for Temporal Context Understanding and Question Answering.
CoRR, 2023

EENet: Learning to Early Exit for Adaptive Inference.
CoRR, 2023

Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration.
Proceedings of the 31st IFIP/IEEE International Conference on Very Large Scale Integration, 2023

GameVibes: Vibration-based Crowd Monitoring for Sports Games through Audience-Game-Facility Association Modeling.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Demo Abstract: FreePulse Heart Rate Monitoring System using Ambient Structural Vibrations.
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

Automated Spatiotemporal Modeling for Real-Time Data-Driven Actionable Insights.
Proceedings of the Intelligent Systems and Applications, 2023

Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Addressing the Unsustainability of Deep Neural Networks with Next-Gen AI.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

Explicit Goal-Driven Autonomous Self-Explanation Generation.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

Comparative Reasoning for Intelligent Agents.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

Hyperdimensional Computing for Robust and Efficient Unsupervised Learning.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Classifying Functional Brain Graphs Using Graph Hypervector Representation.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Tacit knowledge elicitation process for industry 4.0.
Discov. Artif. Intell., 2022

Learning Omnidirectional Flow in 360-degree Video via Siamese Representation.
CoRR, 2022

Hybrid AI for IoT Actionable Insights & Real-Time Data-Driven Networks.
Proceedings of the International Workshop on Self-Supervised Learning, 2022

Learning Omnidirectional Flow in 360$^\circ $ Video via Siamese Representation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Parallel Generative Adversarial Network for Third-person to First-person Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2022

2021
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice.
J. Artif. Intell. Conscious., 2021

Neurosymbolic Systems of Perception & Cognition: The Role of Attention.
CoRR, 2021

Cross-View Exocentric to Egocentric Video Synthesis.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Audio-Visual Correlations From Variational Cross-Modal Generation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Metamodel and Framework for AGI.
CoRR, 2020

A Reasoning Based Model for Anomaly Detection in the Smart City Domain.
Proceedings of the Intelligent Systems and Applications, 2020

Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset.
Proceedings of the IEEE International Conference on Image Processing, 2020

Exocentric to Egocentric Image Generation Via Parallel Generative Adversarial Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018
Improving Deep Models of Person Re-identification for Cross-Dataset Usage.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures.
Proceedings of the Artificial General Intelligence - 11th International Conference, 2018

2017
Knowledge-Defined Networking.
Comput. Commun. Rev., 2017


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