Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 8
Number of items: 8
  • Open Access
    Wang, H., Liu, X., Lu, Z., Yan, C., Jiang, X., Wang, R., & Gavves, E. (2025). RADAR: Reasoning AI-Generated Image Detection for Semantic Fakes. Technologies, 13(7), Article 280. https://doi.org/10.3390/technologies13070280
  • Open Access
    Wang, H., Yan, C., Chen, K., Jiang, X., Tang, X., Hu, Y., Kang, G., Xie, W., & Gavves, E. (2024). OV-VIS: Open-Vocabulary Video Instance Segmentation. International Journal of Computer Vision, 132(11), 5048-5065. https://doi.org/10.1007/s11263-024-02076-w
  • Open Access
    Liu, J., Yin, W., Wang, H., Chen, Y., Sonke, J.-J., & Gavves, E. (2024). Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. In 2024 International Conference in 3D Vision: 3DV 2024 : 18-21 March 2024, Davos, Switzerland : proceedings (pp. 810-819). IEEE Computer Society. https://doi.org/10.1109/3DV62453.2024.00045
  • Open Access
    Sun, H., Lu, X., Wang, H., Yin, Y., Zhen, X., Snoek, C. G. M., & Shao, L. (2023). Attentional prototype inference for few-shot segmentation. Pattern Recognition, 142, Article 109726. https://doi.org/10.1016/j.patcog.2023.109726
  • Open Access
    Wang, H., Yan, C., Wang, S., Jiang, X., Tang, X., Hu, Y., Xie, W., & Gavves, E. (2023). Towards Open-Vocabulary Video Instance Segmentation. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 4034-4043). IEEE Computer Society. https://doi.org/10.48550/arXiv.2304.01715, https://doi.org/10.1109/ICCV51070.2023.00375
  • Wang, H., Liu, J., Liu, Y., Maji, S., Sonke, J.-J., & Gavves, E. (2022). Dynamic Transformer for Few-shot Instance Segmentation. In MM '22: proceedings of the 30th ACM International Conference on Multimedia : October 10-14, 2022, Lisboa, Portugal (pp. 2969–2977). The Association for Computing Machinery. https://doi.org/10.1145/3503161.3548227
  • Open Access
    Wang, H., Shen, J., Liu, Y., Gao, Y., & Gavves, E. (2022). NFormer: Robust Person Re-identification with Neighbor Transformer. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 7287-7297). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2204.09331, https://doi.org/10.1109/CVPR52688.2022.00715
  • Open Access
    Wang, H., Yang, Y., Cao, X., Zhen, X., Snoek, C., & Shao, L. (2021). Variational prototype inference for few-shot semantic segmentation. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 525-534). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00057
Page of