Dani Manjah

12 papers B 1C 1Misc 1Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Camera clustering for scalable stream-based active distillation.
Expert Syst. Appl.
Dani Manjah, Davide Cacciarelli, Christophe De Vleeschouwer, Benoît Macq
2025 — conf
Data-Efficient Stream-Based Active Distillation For Scalable Edge Model Deployment.
ICIPW
Dani Manjah, Tim Bary, Benoît Gérin, Benoît Macq, Christophe De Vleeschouwer
2025 J jnl
Data-Efficient Stream-Based Active Distillation for Scalable Edge Model Deployment.
CoRR
Dani Manjah, Tim Bary, Benoît Gérin, Benoît Macq, Christophe De Vleeschouwer
2025 B conf
Holonic Active Distillation for Scalable Multi-agent Learning in Multi-sensor Systems.
EMAS
Dani Manjah, Tim Bary, Benoît Macq, Stéphane Galland
2025 J jnl
Patient-specific vs Multi-Patient Vision Transformer for Markerless Tumor Motion Forecasting.
CoRR
Gauthier Rotsart De Hertaing, Dani Manjah, Benoît Macq
2024 — conf
Architecture holonique pour la surveillance multi-capteur et multi-méthodes du traffic routier au sein d'une ville intelligente.
JFSMA
Dani Manjah, Stéphane Galland, Christophe De Vleeschouwer, Benoît Macq
2024 — conf
Autonomous Methods in Multisensor Architecture for Smart Surveillance.
ICAART (3)
Dani Manjah, Stéphane Galland, Christophe De Vleeschouwer, Benoît Macq
2024 J jnl
Camera clustering for scalable stream-based active distillation.
CoRR
Dani Manjah, Davide Cacciarelli, Christophe De Vleeschouwer, Benoît Macq
2024 — —
Stream based active distillation and holonic architecture for scalable camera systems.
Dani Manjah
2024 C conf
TrajViViT: A Trajectory Video Vision Transformer Network for Trajectory Forecasting.
ICPRAM
Gauthier Rotsart De Hertaing, Dani Manjah, Benoît Macq
2023 — conf
Stream-Based Active Distillation for Scalable Model Deployment.
CVPR Workshops
Dani Manjah, Davide Cacciarelli, Mohamed Benkedadra, Baptiste Standaert, Gauthier Rotsart De Hertaing, Benoît Macq, Stéphane Galland, Christophe De Vleeschouwer
2020 Misc conf
Implementation of a Holonic Multi-agent System in Mixed or Augmented Reality for Large Scale Interactions.
PAAMS
Dani Manjah, Kaori Hagihara, Gillian Basso, Benoît Macq