Steven Bohez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
10
Active years
2014–2024
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | IROS | The Design of the Barkour Benchmark for Robot Agility. | Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, Jos Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee |
| 2023 | ICRA | NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. | Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess |
| 2022 | IROS | Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. | Philmon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis |
| 2021 | CoRL | A Constrained Multi-Objective Reinforcement Learning Framework. | Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell |
| 2018 | NOMS | Fingerprinting encrypted network traffic types using machine learning. | Sam Leroux, Steven Bohez, Pieter-Jan Maenhaut, Nathan Meheus, Pieter Simoens, Bart Dhoedt |
| 2017 | IROS | Sensor fusion for robot control through deep reinforcement learning. | Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt |
| 2016 | IJCNN | Multi-fidelity matryoshka neural networks for constrained IoT devices. | Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt |
| 2015 | GLOBECOM | Upstream Content Scheduling in Wi-Fi DenseNets during Large-Scale Events. | Glenn Daneels, Jeroen Famaey, Steven Bohez, Pieter Simoens, Steven Latr |
| 2015 | ICDM | Learning Semantic Similarity for Very Short Texts. | Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt |
| 2015 | IJCNN | Resource-constrained classification using a cascade of neural network layers. | Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt |
| 2015 | Middleware | DIANNE: Distributed Artificial Neural Networks for the Internet of Things. | Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, Pieter Simoens |
| 2015 | MOBICOM | Cloudlet-based Large-scale 3D Reconstruction Using Real-time Data from Mobile Depth Cameras. | Steven Bohez, Jaron Couvreur, Bart Dhoedt, Pieter Simoens |
| 2014 | Middleware | Enabling component-based mobile cloud computing with the AIOLOS middleware. | Steven Bohez, Elias De Coninck, Tim Verbelen, Pieter Simoens, Bart Dhoedt |
| 2014 | MUM | Management of crowdsourced first-person video: street view live. | Steven Bohez, Jens Mostaert, Tim Verbelen, Pieter Simoens, Bart Dhoedt |