Dingding Cai

20192023

Research activity per year

Personal profile

Education/Academic qualification

Master of Science (Technology), Information Technology

Award Date: 20 Dec 2017

Bachelor of Science (Technology), Sichuan University

Award Date: 17 May 2015

Fingerprint

Dive into the research topics where Dingding Cai is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation

    Cai, D., Heikkilä, J. & Rahtu, E., 2023, Image Analysis - 23rd Scandinavian Conference, SCIA 2023, Proceedings. Gade, R., Felsberg, M. & Kämäräinen, J.-K. (eds.). Springer, p. 467-481 15 p. (Lecture Notes in Computer Science; vol. 13886 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
  • OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation

    Cai, D., Heikkilä, J. & Rahtu, E., 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE, p. 6793-6803 11 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    18 Citations (Scopus)
    5 Downloads (Pure)
  • SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation

    Cai, D., Heikkila, J. & Rahtu, E., 2022, Proceedings - 2022 International Conference on 3D Vision, 3DV 2022. IEEE, p. 536-546 11 p. (Proceedings - 2022 International Conference on 3D Vision, 3DV 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    11 Downloads (Pure)
  • The Tenth Visual Object Tracking VOT2022 Challenge Results

    Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Kämäräinen, J., Jin Chang, H., Danelljan, M., Čehovin Zajc, L., Lukežič, A., Drbohlav, O., Björklund, J., Zhang, Y., Zhang, Z., Yan, S., Yang, W., Cai, D., Mayer, C., Fernández, G. & Ben, K. & 135 others, Bhat, G., Chang, H., Chen, G., Chen, J., Chen, S., Chen, X., Chen, X., Chen, X., Chen, Y., Yu-Hsi, Y.-H., Chen, Z., Cheng, Y., Ciaramella, A., Cui, Y., Džubur, B., Murali Dasari, M., Deng, Q., Dhar, D., Di, S., Di Nardo, E., Du, D. K., Dunnhofer, M., Fan, H., Feng, Z., Fu, Z., Gao, S., Gorthi, R. K., Granger, E., Gu, Q. H., Gupta, H., He, J., He, K., Huang, Y., Jangid, D., Ji, R., Jiang, C., Jiang, Y., Lawin, F. J., Kang, Z., Kiran, M., Kittler, J., Lai, S., Lan, X., Lee, D., Lee, H., Lee, S., Li, H., Li, M., Li, W., Li, X., Li, X., Li, X., Li, Z., Lin, L., Ling, H., Liu, B., Liu, C., Liu, S., Lu, H., Cruz, R. M. O., Ma, B., Ma, C., Ma, J., Ma, Y., Martinel, N., Memarmoghadam, A., Micheloni, C., Moallem, P., Nguyen-Meidine, L. T., Pan, S., Park, C., Paudel, D., Paul, M., Peng, H., Robinson, A., Rout, L., Shan, S., Simonato, K., Song, T., Song, X., Sun, C., Sun, J., Tang, Z., Timofte, R., Tsai, C.-Y., Van Gool, L., Verma, O. P., Wang, D., Wang, F., Liang, W., Wang, L., Wang, L., Wang, L., Wang, Q., Wu, G., Wu, J., Wu, X., Xie, F., Xu, T., Xu, W., Xu, Y., Xu, Y., Xue, W., Xun, Z., Yan, B., Yang, D., Yang, J., Yang, W., Yang, X., Yang, Y., Yang, Y., Yang, Z., Ye, B., Yu, F., Yu, H., Yu, J., Yu, Q., Yu, W., Zhai, J., Zhang, C., Zhang, C., Zhang, K., Zhang, T., Zhang, W., Zhang, Z., Zhang, Z., Zhao, J., Zhao, S., Zheng, F., Zheng, H., Zheng, M., Zhong, B., Zhu, J., Zhu, X. & Zhuang, Y., 2022, Proceedings of the European Conference on Computer Vision (ECCV) Workshops. Springer, p. 431–460

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    13 Citations (Scopus)
    2 Downloads (Pure)
  • Convolutional low-resolution fine-grained classification

    Cai, D., Chen, K., Qian, Y. & Kämäräinen, J.-K., Mar 2019, In: Pattern Recognition Letters. 119, p. 166-171

    Research output: Contribution to journalArticleScientificpeer-review

    53 Citations (Scopus)