Tom De Schepper

58 papers A 1B 8C 3Journal 26Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. Int. J. Multim. Inf. Retr. Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Ignazio Gallo, Markus Schedl
2025	J	`jnl`	GPI-tree search: algorithms for decision-time planning with the general policy improvement theorem. Neural Comput. Appl. Louis Bagot, Lynn D'eer, Steven Latré, Tom De Schepper, Kevin Mets
2025	J	`jnl`	Improving Post-Training Quantization via Probabilistic Programming. IEEE Trans. Circuits Syst. Video Technol. Kui Liu, Bart Goossens, Tom De Schepper, Wilfried Philips
2025	J	`jnl`	Increasing the Diversity in RGB-to-Thermal Image Translation for Automotive Applications. CoRR Kaili Wang, Leonardo Ravaglia, Roberto Longo, Lore Goetschalckx, David Van Hamme, Julie Moeyersoms, Ben Stoffelen, Tom De Schepper
2025	J	`jnl`	Learning to communicate using a communication critic and counterfactual reasoning. Neural Comput. Appl. Simon Vanneste, Astrid Vanneste, Kevin Mets, Tom De Schepper, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
2025	—	`conf`	On-the-Fly Data Augmentation for Brain Tumor Segmentation. BraTS-Lighthouse/AIMS-TBI@MICCAI (1) Ishika Jain, Siri Willems, Steven Latré, Tom De Schepper
2025	J	`jnl`	On-the-Fly Data Augmentation for Brain Tumor Segmentation. CoRR Ishika Jain, Siri Willems, Steven Latré, Tom De Schepper
2025	J	`jnl`	RGB-to-Infrared Translation Using Ensemble Learning Applied to Driving Scenarios. J. Imaging Leonardo Ravaglia, Roberto Longo, Kaili Wang, David Van Hamme, Julie Moeyersoms, Ben Stoffelen, Tom De Schepper
2024	—	`conf`	Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. VISIGRAPP (2): VISAPP Wei Wei, Tom De Schepper, Kevin Mets
2024	J	`jnl`	Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. CoRR Wei Wei, Tom De Schepper, Kevin Mets
2024	J	`jnl`	Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl
2024	J	`jnl`	Dataset Condensation with Latent Quantile Matching. CoRR Wei Wei, Tom De Schepper, Kevin Mets
2024	—	`conf`	Dataset condensation with latent quantile matching. CVPR Workshops Wei Wei, Tom De Schepper, Kevin Mets
2024	—	`conf`	Increasing the Diversity in RGB-to-Thermal Image Translation for Automotive Applications. IEEE SENSORS Kaili Wang, Leonardo Ravaglia, Roberto Longo, Lore Goetschalckx, David Van Hamme, Julie Moeyersoms, Ben Stoffelen, Tom De Schepper
2024	J	`jnl`	Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. Ecol. Informatics Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck
2024	J	`jnl`	Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. CoRR Muhammad Saad Saeed, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, Markus Schedl
2024	—	`conf`	Physical Ergonomics Anticipation with Human Motion Prediction. VISIGRAPP (4): VISAPP Mattias Billast, Jonas De Bruyne, Klaas Bombeke, Tom De Schepper, Kevin Mets
2024	J	`jnl`	Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices. Sensors Thomas Avé, Tom De Schepper, Kevin Mets
2024	B	`conf`	Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures. NOMS Thomas Avé, Paola Soto, Miguel Camelo, Tom De Schepper, Kevin Mets
2024	—	`conf`	Unsupervised Domain Adaptation for Human Pose Action Recognition. VISIGRAPP (2): VISAPP Mattias Billast, Tom De Schepper, Kevin Mets
2023	J	`jnl`	An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning. CoRR Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023	A	`conf`	Directed Real-World Learned Exploration. IROS Matthias Hutsebaut-Buysse, Ferran Gebelli Guinjoan, Erwin Rademakers, Steven Latré, Abdellatif Bey-Temsamani, Kevin Mets, Erik Mannens, Tom De Schepper
2023	—	`conf`	Human Motion Prediction on the IKEA-ASM Dataset. VISIGRAPP (5: VISAPP) Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré
2023	J	`jnl`	Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. CoRR Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck
2023	—	`conf`	Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. BNAIC/BENELEARN Simon Vanneste, Astrid Vanneste, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx, Kevin Mets
2023	J	`jnl`	Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. CoRR Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023	J	`jnl`	Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning. CoRR Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023	—	`conf`	Towards graph-based forecasting with attention for real-world restaurant sales. ICDM (Workshops) Henrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper
2022	J	`jnl`	An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning. CoRR Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2022	—	`conf`	Deep Set Conditioned Latent Representations for Action Recognition. VISIGRAPP (5: VISAPP) Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
2022	J	`jnl`	Deep set conditioned latent representations for action recognition. CoRR Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
2022	C	`conf`	Object Detection To Enable Autonomous Vessels On European Inland Waterways. IECON Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx
2022	—	`conf`	On-device Deep Learning Location Category Inference Model. BNAIC/BENELEARN Gadzhi Musaev, Kevin Mets, Rokas Tamosiunas, Vadim Uvarov, Tom De Schepper, Peter Hellinckx
2022	C	`conf`	Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. IECON Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2022	J	`jnl`	Structured Exploration Through Instruction Enhancement for Object Navigation. CoRR Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré
2021	—	`conf`	Disagreement Options: Task Adaptation Through Temporally Extended Actions. ECML/PKDD (1) Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré
2021	—	`conf`	Low Cost Player Tracking in Field Hockey. MLSA@PKDD/ECML Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx, Steven Latré
2021	—	`conf`	Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. BNAIC/BENELEARN Mattias Billast, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
2021	—	`conf`	Task Independent Capsule-Based Agents for Deep Q-Learning. BNAIC/BENELEARN Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
2020	—	`conf`	A Machine Learning Approach for Road Cycling Race Performance Prediction. MLSA@PKDD/ECML Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré
2020	—	`conf`	Detection of traffic patterns in the radio spectrum for cognitive wireless network management. ICC Miguel Camelo, Tom De Schepper, Paola Soto, Johann Marquez-Barja, Jeroen Famaey, Steven Latré
2020	B	`conf`	Multi-technology Management of Heterogeneous Wireless Networks. NOMS Tom De Schepper, Jeroen Famaey, Steven Latré
2020	J	`jnl`	ORCHESTRA: Supercharging Wireless Backhaul Networks Through Multi-technology Management. J. Netw. Syst. Manag. Tom De Schepper, Patrick Bosch, Jakob Struye, Carlos Donato, Jeroen Famaey, Steven Latré
2020	J	`jnl`	Orchestration of heterogeneous wireless networks: State of the art and remaining challenges. Comput. Commun. Patrick Bosch, Tom De Schepper, Ensar Zeljkovic, Jeroen Famaey, Steven Latré
2020	J	`jnl`	Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks. J. Netw. Syst. Manag. Tom De Schepper, Steven Latré, Jeroen Famaey
2020	J	`jnl`	Traffic classification at the radio spectrum level using deep learning models trained with synthetic data. Int. J. Netw. Manag. Tom De Schepper, Miguel Camelo, Jeroen Famaey, Steven Latré
2019	—	`—`	Multi-technology management of heterogeneous wireless networks Tom De Schepper
2018	C	`conf`	A Demonstration of Seamless Inter-Technology Mobility in Heterogeneous Networks. WOWMOM Patrick Bosch, Tom De Schepper, Ensar Zeljkovic, Farouk Mahfoudhi, Yorick De Bock, Jeroen Famaey, Steven Latré
2018	J	`jnl`	Flow Management and Load Balancing in Dynamic Heterogeneous LANs. IEEE Trans. Netw. Serv. Manag. Tom De Schepper, Steven Latré, Jeroen Famaey
2018	B	`conf`	Load balancing and flow management under user mobility in heterogeneous wireless networks. CNSM Tom De Schepper, Steven Latré, Jeroen Famaey
2018	J	`jnl`	ORCHESTRA: Enabling Inter-Technology Network Management in Heterogeneous Wireless Networks. IEEE Trans. Netw. Serv. Manag. Tom De Schepper, Patrick Bosch, Ensar Zeljkovic, Farouk Mahfoudhi, Jetmir Haxhibeqiri, Jeroen Hoebeke, Jeroen Famaey, Steven Latré
2017	B	`conf`	A transparent load balancing algorithm for heterogeneous Local Area Networks. IM Tom De Schepper, Steven Latré, Jeroen Famaey
2017	B	`conf`	DiMob: Scalable and seamless mobility in SDN managed wireless networks. CNSM Ian Vermeulen, Patrick Bosch, Tom De Schepper, Steven Latré
2017	—	`conf`	Dynamic BLE-based fingerprinting for location-aware smart homes. SCVT Tom De Schepper, Alexander Vanhulle, Steven Latré
2017	B	`conf`	ORCHESTRA: Virtualized and programmable orchestration of heterogeneous WLANs. CNSM Ensar Zeljkovic, Tom De Schepper, Patrick Bosch, Ian Vermeulen, Jetmir Haxhibeqiri, Jeroen Hoebeke, Jeroen Famaey, Steven Latré
2017	B	`conf`	SDN-based transparent flow scheduling for heterogeneous wireless LANs. IM Tom De Schepper, Patrick Bosch, Ensar Zeljkovic, Koen De Schepper, Chris Hawinkel, Steven Latré, Jeroen Famaey
2017	B	`conf`	Software-defined multipath-TCP for smart mobile devices. CNSM Tom De Schepper, Jakob Struye, Ensar Zeljkovic, Steven Latré, Jeroen Famaey
2015	—	`conf`	A virtual reality-based multiplayer game using fine-grained localization. GIIS Tom De Schepper, Bart Braem, Steven Latré