Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 8
Number of items: 8
  • Zhang, Y. (2024, April 10). Low-Resource Image Transfer Evaluation Benchmark [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.25577145.v1
  • Open Access
    Zhang, Y., Doughty, H., & Snoek, C. G. M. (2024). Low-Resource Vision Challenges for Foundation Models. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 21956-21966). IEEE Computer Society. https://doi.org/10.48550/arXiv.2401.04716, https://doi.org/10.1109/CVPR52733.2024.02073
  • Open Access
    Zhang, Y. (2024). Multimodal learning under visually challenging conditions. [Thesis, fully internal, Universiteitsbibliotheek].
  • Open Access
    Zhang, Y., Doughty, H., & Snoek, C. G. M. (2023). Learning Unseen Modality Interaction. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2306.12795
  • Zhang, Y., Doughty, H. R., & Snoek, C. G. M. (2022, March 19). ActorShift.zip [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19387046.v1
  • Open Access
    Zhang, Y., Doughty, H., Shao, L., & Snoek, C. G. M. (2022). Audio-Adaptive Activity Recognition Across Video Domains. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 13781-13790). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2203.14240, https://doi.org/10.1109/CVPR52688.2022.01342
  • Zhang, Y., Wang, L., Wang, D., Qi, J., & Lu, H. (2021). Learning Regression and Verification Networks for Robust Long-term Tracking. International Journal of Computer Vision, 129(9), 2536–2547. https://doi.org/10.1007/s11263-021-01487-3
  • Open Access
    Zhang, Y., Shao, L., & Snoek, C. G. M. (2021). Repetitive Activity Counting by Sight and Sound. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 14065-14074). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.48550/arXiv.2103.13096, https://doi.org/10.1109/CVPR46437.2021.01385
Page of