Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 40
Number of items: 40
  • Galama, Y., & Mensink, T. (2019). IterGANs: Iterative GANs to learn and control 3D object transformation. Computer Vision and Image Understanding, 189, Article 102803. https://doi.org/10.1016/j.cviu.2019.102803
  • Ibrahimi, S., Chen, S., Arya, D., Câmara, A., Chen, Y., Crijns, T., van der Goes, M., Mensink, T., van Miltenburg, E., Odijk, D., Thong, W., Zhao, J., & Mettes, P. (2019). Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2196-2198). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350597
  • Open Access
    Chen, Y., Mensink, T., & Gavves, E. (2019). 3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. In 2019 International Conference on 3D Vision: 3DV 2019 : proceedings : Quebec, Canada, 15-18 September 2019 (pp. 173-182). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.48550/arXiv.1910.01460, https://doi.org/10.1109/3DV.2019.00028
  • Open Access
    Cappallo, S., Svetlichnaya, S., Garrigues, P., Mensink, T., & Snoek, C. G. M. (2019). New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. IEEE Transactions on Multimedia, 21(2), 402-415. https://doi.org/10.1109/TMM.2018.2862363
  • Cappallo, S. H., Svetlichnaya, S., Garrigues, P., Mensink, T., & Snoek, C. (2018, February 28). Twemoji Dataset [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.5822100.v3
  • Open Access
    Le, H.-A., Baslamisli, A. S., Mensink, T., & Gevers, T. (2018). Three for one and one for three: Flow, Segmentation, and Surface Normals. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 Article 201 BMVA Press.
  • Bolles, R., Burns, J. B., Graciarena, M., Kathol, A., Lawson, A., McLaren, M., & Mensink, T. (2017). Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video. In 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops: CVPRW 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (pp. 1907-1914). IEEE Computer Society. https://doi.org/10.1109/CVPRW.2017.238
  • Open Access
    Mensink, T., Jongstra, T., Mettes, P., & Snoek, C. G. M. (2017). Music-Guided Video Summarization using Quadratic Assignments. In ICMR '17: proceedings of the 2017 ACM International Conference on Multimedia Retrieval : June 6-9, 2017, Bucharest, Romania (pp. 58-64). The Association for Computing Machinery. https://doi.org/10.1145/3078971.3079024
  • Open Access
    Habibian, A., Mensink, T., & Snoek, C. G. M. (2017). Video2vec Embeddings Recognize Events when Examples are Scarce. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(10), 2089-2103. https://doi.org/10.1109/TPAMI.2016.2627563
  • Open Access
    Cappallo, S., Mensink, T., & Snoek, C. G. M. (2016). Video Stream Retrieval of Unseen Queries using Semantic Memory. In R. C. Wilson, E. R. Hancock, & W. A. P. Smith (Eds.), Proceedings of the British Machine Vision Conference: BMVC 2016 Article 143 BMVA Press. https://doi.org/10.5244/C.30.143
Page 2 of 4