Edinburgh Research Explorer

Dr Valentin Radu

(Former employee or visitor)

  1. 2020
  2. Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

    Radu, V., Kaszyk, J., Wen, Y., Turner, J., Cano, J., Crowley, E., Franke, B., Storkey, A. & O'Boyle, M., 19 Mar 2020, 2019 IEEE International Symposium on Workload Characterization (IISWC). Orlando, FL, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 24-34 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Automatic Generation of Specialized Direct Convolutions for Mobile GPUs

    Mogers, N., Radu, V., Li, L., Turner, J., O'Boyle, M. & Dubach, C., 23 Feb 2020, GPGPU '20: Proceedings of the 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit. ACM, p. 41-50 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. 2019
  5. Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking

    Wei, X. & Radu, V., 28 Nov 2019, 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras

    Cosma, A., Radoi, I. E. & Radu, V., 28 Nov 2019, 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Poster: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming

    Wen, Y., Anderson, A., Radu, V., O'Boyle, M. & Gregg, D., 7 Nov 2019, 2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT). Institute of Electrical and Electronics Engineers (IEEE), p. 488-489 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition

    Radu, V. & Henne, M., 9 Sep 2019, In : PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3, 3, p. 84:1-84:21 21 p., 84.

    Research output: Contribution to journalArticle

  9. 2018
  10. Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

    Turner, J., Cano Reyes, J., Radu, V., Crowley, E., O'Boyle, M. & Storkey, A., 13 Dec 2018, Proceedings of the - Workload Characterization (IISWC), 2018 IEEE International Symposium on. Raleigh, North Carolina, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 101-110 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. Multimodal Deep Learning for Activity and Context Recognition

    Radu, V., Tong, C., Bhattacharya, S., Lane, N., Mascolo, C., Marina, M. K. & Kawsar, F., 8 Jan 2018, In : PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 1, 4, p. 157:1-157:27 27 p., 157.

    Research output: Contribution to journalArticle

  12. 2016
  13. Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices

    Radu, V., Lane, N. D., Bhattacharya, S., Mascolo, C., Marina, M. K. & Kawsar, F., 12 Sep 2016, Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. New York, NY, USA: ACM, p. 185-188 4 p. (UbiComp '16).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution