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Results: 32
Number of items: 32
  • Open Access
    Yang, P., Snoek, C. G. M., & Asano, Y. M. (2023). Self-Ordering Point Clouds. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 15767-15776). IEEE Computer Society. https://doi.org/10.48550/arXiv.2304.00961, https://doi.org/10.1109/ICCV51070.2023.01449
  • Open Access
    Salehi, M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2023). Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 16490-16501). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01516, https://doi.org/10.48550/arXiv.2308.11796
  • Hanu, L., Thewlis, J., Asano, Y. M., & Rupprecht, C. (2022). VTC: Improving Video-Text Retrieval with User Comments. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022 : proceedings (Vol. XXXV, pp. 616–633). (Lecture Notes in Computer Science; Vol. 13695). Springer. https://doi.org/10.1007/978-3-031-19833-5_36
  • Open Access
    Afouras, T., Asano, Y. M., Fagan, F., Vedaldi, A., & Metze, F. (2022). Self-supervised object detection from audio-visual correspondence. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 10565-10576). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2104.06401, https://doi.org/10.1109/CVPR52688.2022.01032
  • Open Access
    Ziegler, A., & Asano, Y. M. (2022). Self-Supervised Learning of Object Parts for Semantic Segmentation. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 14482-14491). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2204.13101, https://doi.org/10.1109/CVPR52688.2022.01410
  • Open Access
    Yang, P., Asano, Y. M., Mettes, P., & Snoek, C. G. M. (2022). Less than Few: Self-Shot Video Instance Segmentation. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022 : proceedings (Vol. XXXIV, pp. 449–466). (Lecture Notes in Computer Science; Vol. 13694). Springer. https://doi.org/10.1007/978-3-031-19830-4_26
  • Open Access
    Asano, Y., Campbell, D., Feichtenhofer, C., Henriques, J., Metze, F., Misra, I., Patrick, M., & Vedaldi, A. (2022). Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 15, pp. 12493-12506). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2021/hash/67f7fb873eaf29526a11a9b7ac33bfac-Abstract.html
  • Open Access
    Asano, Y., Benussi, E., Dreyer, F., Iqbal, H., Kirk, H. R., Shtedritski, A., Volpin, F., & Jun, Y. (2022). Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 4, pp. 2611-2624). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2021/hash/1531beb762df4029513ebf9295e0d34f-Abstract.html
  • Open Access
    Lippe, P., Magliacane, S., Löwe, S., Asano, Y. M., Cohen, T., & Gavves, E. (2022). CITRIS: Causal Identifiability from Temporal Intervened Sequences. Proceedings of Machine Learning Research, 162, 13557-13603. https://proceedings.mlr.press/v162/lippe22a.html
  • Open Access
    Patrick, M., Asano, Y. M., Kuznetsova, P., Fong, R., Henriques, J. F., Zweig, G., & Vedaldi, A. (2021). On Compositions of Transformations in Contrastive Self-Supervised Learning. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 9557-9567). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00944
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