Edinburgh Research Explorer

Institute of Perception, Action and Behaviour

Organisational unit: Research Institute

  1. 2020
  2. DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition

    Shou, Z., Lin, X., Kalantidis, Y., Sevilla-Lara, L., Rohrbach, M., Chang, S-F. & Yan, Z., 9 Jan 2020, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 1268-1277 10 p.

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

  3. Generalising Fine-Grained Sketch-Based Image Retrieval

    Pang, K., Li, K., Yang, Y., Zhan, H., Hospedales, T., Xiang, T. & Song, Y-Z., 9 Jan 2020, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 677-686 10 p.

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

  4. Generalizable Person Re-identification by Domain-Invariant Mapping Network

    Song, J., Yang, Y., Song, Y-Z., Xiang, T. & Hospedales, T., 9 Jan 2020, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 719-728 10 p.

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

  5. 2019
  6. Multi-relational Poincaré Graph Embeddings

    Balaževic, I., Allen, C. & Hospedales, T., 14 Dec 2019, Advances in Neural Information Processing Systems (NIPS 2019). Curran Associates Inc, Vol. 32. p. 4465-4475 11 p.

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

  7. What the Vec? Towards Probabilistically Grounded Embeddings

    Allen, C., Balazevic, I. & Hospedales, T., 14 Dec 2019, Advances in Neural Information Processing Systems (NIPS 2019). Curran Associates Inc, Vol. 32. p. 7465-7475 13 p.

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

  8. Vid2Param: Modelling of Dynamics Parameters from Video

    Asenov, M., Burke, M., Angelov, D., Davchev, T., Subr, K. & Ramamoorthy, R., 12 Dec 2019, In : IEEE Robotics and Automation Letters. 5, 2, p. 414-421 8 p.

    Research output: Contribution to journalArticle

  9. Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes

    Yogarajan, V., Gouk, H., Smith, T., Mayo, M. & Pfahringer, B., 6 Dec 2019, (Accepted/In press) 12th Asian Conference on Intelligent Information and Database Systems. 12 p.

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

  10. Evaluation of Internal Models in Autonomous Learning

    Smith, S. C. & Herrmann, J. M., 1 Dec 2019, In : IEEE Transactions on Cognitive and Developmental Systems. 11, 4, p. 463 - 472 10 p.

    Research output: Contribution to journalArticle

  11. Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images

    Rachmadi, M. F., Del C. Valdés-hernández, M., Li, H., Guerrero, R., Meijboom, R., Wiseman, S., Waldman, A., Zhang, J., Rueckert, D., Wardlaw, J. & Komura, T., 27 Nov 2019, In : Computerized Medical Imaging and Graphics. p. 101685

    Research output: Contribution to journalArticle

  12. 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., 20 Nov 2019, In : Proceedings. 31, 1, p. 1-10 10 p., 53.

    Research output: Contribution to journalArticle

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