Edinburgh Research Explorer

Institute of Perception, Action and Behaviour

Organisational unit: Research Institute

  1. 2019
  2. Vid2Param: Modelling of Dynamics Parameters from Video

    Asenov, M., Burke, M., Angelov, D., Davchev, T., Subr, K. & Ramamoorthy, R., 27 Nov 2019, (Accepted/In press) In : IEEE Robotics and Automation Letters. 8 p.

    Research output: Contribution to journalArticle

  3. Deep Domain-Adversarial Image Generation for Domain Generalisation

    Zhou, K., Yang, Y., Hospedales, T. & Xiang, T., 11 Nov 2019, (Accepted/In press) Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020). American Association for Artificial Intelligence (AAAI), 8 p.

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

  4. Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach

    Zheng, Y., Chen, B., Hospedales, T. & Yang, Y., 11 Nov 2019, (Accepted/In press) Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020). American Association for Artificial Intelligence (AAAI), 8 p.

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

  5. Neural State Machine for Character-Scene Interactions

    Starke, S., Zhang, H., Komura, T. & Saito, J., 8 Nov 2019, In : ACM Transactions on Graphics. 38, 6, 14 p., 178.

    Research output: Contribution to journalArticle

  6. Stochastic Gradient Trees

    Gouk, H., Pfahringer, B. & Frank, E., 15 Oct 2019, Proceedings of The Eleventh Asian Conference on Machine Learning. Lee, W. S. & Suzuki, T. (eds.). Nagoya, Japan: PMLR, Vol. 101. p. 1094-1109 16 p. (Proceedings of Machine Learning Research; vol. 101).

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

  7. 5G Network Enabled Robotics Applications

    Ramamoorthy, S., Thompson, J., von Tiesenhausen, C. & Zhang, Y., 14 Oct 2019, 14 p.

    Research output: Other contribution

  8. Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map

    Rachmadi, M., Valdes Hernandez, M., Makin, S., Wardlaw, J. & Komura, T., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 146–154 9 p. (Lecture Notes in Computer Science (LNCS); vol. 11766).

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

  9. A new method to evaluate the dynamic air gap thickness and garment sliding of virtual clothes during walking

    Hu, P., Ho, E. S. L., Aslam, N., Komura, T. & Shum, H. P. H., 1 Oct 2019, In : Textile research journal. 89, 19-20, p. 4148-4161 14 p.

    Research output: Contribution to journalArticle

  10. 3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment

    Fuster-Guillo, A., Azorin-Lopez, J., Castillo Zaragoza, J. M., Pérez Pérez, L. F., Saval-Calvo, M. & Fisher, R., 23 Sep 2019, (Accepted/In press) In : Proceedings. 10 p.

    Research output: Contribution to journalArticle

  11. Model Predictive Control for Motion Planning of Quadrupedal Locomotion

    Shi, Y., Wang, P., Li, M., Wang, X., Jiang, Z. & Li, Z., 12 Sep 2019, 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM). Institute of Electrical and Electronics Engineers (IEEE), p. 87-92 6 p.

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

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