Journal articles

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

K. Goetschalckx and 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.


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

E. Vinogradov, H. Sallouha, S. D. Bast, M. Azari and S. Pollin, "Tutorial on UAVs: A Blue Sky View on Wireless," Journal ofMobile Multimedia, vol. 14, no. 4, pp. 395-468, 2018.

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.


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.

Conference papers

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


J. Oramas Mogrovejo, K. Wang and T. Tuytelaars, "Visual Explanation by Interpretation: Improving Visual Feedback
Capabilities of Deep Neural Networks," in International Conference on Learning Representations, ICLR, 2019.

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

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


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

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.


T. Ophoff, K. Van Beeck and T. Goedemé, "Improving Real-Time Pedestrian Detectors with RGB Depth Fusion.," in AVSSWorkshop - MSS, 2018.

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.

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.

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.

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.

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 .


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

Books and Lecture notes

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.

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