PUBLICATIONS

Journal articles

[1] S. Colleman, M. Verhelst, "High-Utilization, High-Flexibility Depth-First CNN Coprocessor for Image Pixel Processing on FPGA", in IEEE Transactions On Very Large Scale Integration (Vlsi) Systems, 2021
 

[2] V. Jain, N. Jadhav, M. Verhelst, "Enabling real-time object detection on low cost FPGAs", In Journal of Real-Time Image Processing, 2021

[3] Q. Chen, H. Zhu, L. Yang, X. Chen, S. Pollin and E. Vinogradov, "Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications," in IEEE Communications Magazine, vol. 59, no. 1, pp. 28-33, January 2021
 

[4] T. Ophoff, C. Gullentops, K. Van Beeck, T. Goedemé, "Investigating the Potential of Network Optimization for a Constrained Object Detection Problem", Journal of Imaging, 7(4), 2021 
 

[5] T. Ophoff, S. Puttemans, V. Kalogirou, J-P. Robin, T. Goedemé, “Vehicle and Vessel Detection on Satellite Imagery: A Comparative Study on Single-Shot Detectors” Remote Sensing; 2020
 

[6] T. Ophoff, K. Van Beeck and T. Goedemé, "Exploring RGB plus Depth Fusion for Real-Time Object Detection," Sensors, vol. 19, no. 4, 2019. 
 

[7] K. Goetschalckx, M. Verhelst, "Breaking High Resolution CNN Bandwidth Barriers with Enhanced Depth-First Execution" IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2019 
 

[8] K. Goetschalckx, B. Moons, S. Lauwereins, M. Andraud and M. Verhelst, "Optimized hierarchical cascaded processing," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 8, no. 4, 2018. 
 

[9] E. Vinogradov, H. Sallouha, S. D. Bast, M. Azari and S. Pollin, "Tutorial on UAVs: A Blue Sky View on Wireless," Journal of Mobile Multimedia, vol. 14, no. 4,  2018.
 

[10] M. Azari, F. Rosas, K. Chen and S. Pollin, "Ultra Reliable UAV Communication Using Altitude and Cooperation Diversity," IEEE Transactions on Communications, vol. 66, no. 1, pp. 330-344, 2018.
 

[11] A. Colpaert, E. Vinogradov and S. Pollin, "Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models," MDPI Sensors, vol. 18, 2018. 
 

Submitted:
[12] E. Vinogradov, S. Pollin, "Drone technology: interdisciplinary assessment of knowledge gaps and solutions" under revision

[13] G. Castellanos, A. Colpaert, M. Deruyck, E. Tanghe, E. Vinogradov, L. Martens, S. Pollin, W. Joseph, "Evaluation of

Beamsteering performance in Multiuser MIMO Unmanned Aerial Base Stations networks" under revision 

Conference papers

[1] A. Colpaert, E. Vinogradov and S. Pollin, "Drone delivery: Reliable Cellular UAV Communication Using Multi-Operator Diversity" IEEE International Conference on Communications, ICC 2022

[2] K. Goetschalckx, M. Verhelst, "DepFiN: A 12nm, 3.8TOPs depth-first CNN processor for high res. image processing", accepted to IEEE VLSI-Circuits 2021. 

 

[3] S. Colleman, T. Verelst, L. Mei, T. Tuytelaars and M. Verhelst, "Processor Architecture Optimization for Spatially Dynamic Neural Networks," 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021

[4] M. Zhang, M. Timmerman, L. Perneel and T. Goedemé, "Which Is the Best Real-Time Operating System for Drones? Evaluation of the Real-Time Characteristics of NuttX and ChibiOS," 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 2021

[5] K. Van Beeck, M. Vandersteegen, T. Ophoff, T. Tuytelaars, D. Scaramuzza, T. Goedemé, "Real-Time Embedded Computer Vision on UAVs: UAVision2020 Workshop Summary", Computer Vision – ECCV 2020 Workshops; 2021
 

[6] T. Callemein, K. Van Beeck, T. Goedemé, "Multi-view Real-time 3d Occupancy Map for Machine-patient Collision Avoidance", Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; 2021; (Published in the scope of the OmniDrone follow-up project S2DL with AGFA nv)

[7] S. Seifi, J. Abhishek, T. Tuytelaars. “Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration.” Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021

[8] B.Vanherle, T. Vervoort, N. Michiels, P. Bekaert.  "Fully automatic directing with a collaborative recording system". In preparation for the 18th European Conference on Visual Media Production (CVMP21).
 

[9] I.  Emanuilov, O.  Dheu, 'Flying High for AI? Perspectives on EASA’s Roadmap for AI in Aviation', Air and Space Law, 2021
 

[10] I. Emanuilov, OmniDrone Final Report on Regulation: European Regulatory Framework for Unmanned Aircraft Systems (2021), OmniDrone Deliverable 5.3.b: Final Report on Regulation Publisher: OmniDrone 720° perception for safe and autonomous systems, 2021
 

[11] S. Seifi and T. Tuytelaars, "Attend and segment: Attention guided active semantic segmentation", 16th European conference on computer vision - ECCV 2020
 

[12] A. Colpaert, E. Vinogradov and S. Pollin, "3D beamforming and handover analysis for UAV networks," IEEE Globecom Workshops, 2020
 

[13] A. Colpaert, E. Vinogradov and S. Pollin, "Fixed mmWave Multi-User MIMO: Performance Analysis and Proof-of-Concept Architecture," IEEE Vehicular Technology Conference, 2020
 

[14] S. Seifi and T. Tuytelaars, "Where to Look Next: Unsupervised Active Visual Exploration on 360° Input", 2nd 360° perception and interaction workshop, in conjunction with ICCV 2019
 

[15] J. Oramas M., K. Wang, T. Tuytelaars, "Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks", International Conference on Learning Representations
 

[16] R. Aljundi, K. Kelchtermans and T. Tuytelaars, "Task-Free Continual Learning" in IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2019. 
 

[17] M. Vandersteegen, K. Van Beeck and T. Goedemé, "Super accurate low latency object detection on a surveillance UAV, International Conference on Machine Vision Applications May 27–31 2019,, Tokyo, Japan. 
 

[18] E. Vinogradov, A. Colpaert and S. Pollin, "UAV interference to existing satellite services in C-band," in The 5th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet'19), 2019. 
 

[19] S. De Bast, E. Vinogradov and S. Pollin, "Cellular Coverage-Aware Path Planning for UAVs," in IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019. 

[20] S. Seifi and T. Tuytelaars, "How to Improve CNN-Based 6-DoF Camera Pose Estimation," 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019

[21] K. Goetschalckx, B. Moons, P. Wambacq and M. Verhelst, "Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression," in Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018. 
 

[22] M. Verhelst, "Exploiting FDSOI towards minimum energy point operation in processors and machine learning accelerators," in 48th European Solid-State Device Research Conference (ESSDERC), 2018 . 
 

[23] K. Kelchtermans and T. Tuytelaars, "Future Depth as Value Signal for Learning Collision Avoidance" in IROS workshop on Planning, Perception and Navigation for Intelligent Vehicles, 2018.
 

[24] J. Heylen, S. Iven, B. De Brabandere, J. Oramas, L. Van Gool and T. Tuytelaars, "From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks," in Winter Conference on Applications in Computer Vision, WACV, 2018. 
 

[25] T. Ophoff, K. Van Beeck and T. Goedemé, "Improving Real-Time Pedestrian Detectors with RGB Depth Fusion.," in AVSS Workshop - MSS, 2018. 
 

[26] M. Azari, F. Rosas and S. Pollin, "Reshaping Cellular Networks for the Sky: Major Factors and Feasibility," in IEEE International Conference on Communications (ICC), 2018. 
 

[27] E. Vinogradov, D. Kovalev and S. Pollin., "Simulation and Detection Performance Evaluation of a UAV-mounted Passive Radar," in IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, 2018. 
 

[28]  K. Kelchtermans and T. Tuytelaars, "How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV", Arxiv preprint 2017. 
 

[29] M. Azari, F. Rosas, A. Chiumento and S. Pollin, "Coexistence of terrestrial and aerial users in cellular networks," in IEEE Globecom Workshops (GC Wkshps), 2017. 
 

[30] I. Emanuilov, OmniDrone Initial Report on Regulation: European Regulatory Framework for Unmanned Aircraft Systems (2018), OmniDrone Deliverable 5.3.a: Initial Report on Regulation Publisher: OmniDrone 720° perception for safe and autonomous systems, 2017

Books and Lecture notes

[1] K. Van Beeck, T. Tuytelaars, D. Scarramuza and T. Goedemé, "Real-time Embedded Computer Vision on UAVs: UAVision2018 Workshop Summary," in Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), LNCS, 2019, pp. 3-10.
 

[2] B. Moons, D. Bankman and M. Verhelst, "Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing", Springer.

Other:

[1] Imitation Learning Codebase

 

[2] A. Fakhreddine, E. Vinogradov, "Cellular Networks for Safe Drone Operations", tutorial during the IEEE Vehicular Technology Conference, 2021

 

[3] E. Vinogradov, S. Pollin, "Establishing Trust in the Air: Wireless Communications and Sensing Approaches for Safe UAVs", tutorial during the IEEE Global Communications Conference (GLOBECOM), 2020

 

[4] E. Vinogradov, S. Pollin, "Wireless Communications with Unmanned Aerial Vehicles", tutorial during the IEEE International Conference on Communications (ICC), 2019