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The Ninth Visual Object Tracking VOT2021 Challenge Results.

M. Kristan, J. Matas, A. Leonardis, M. Felsberg, R. Pflugfelder, J. Kämäräinen, H. Chang, M. Danelljan, L. Zajc, A. Lukezic, O. Drbohlav, J. Käpylä, G. Häger, S. Yan, J. Yang, Z. Zhang, G. Fernández, M. Abdelpakey, G. Bhat, L. Cerkezi, H. Cevikalp, S. Chen, X. Chen, M. Cheng, Z. Cheng, Y. Chiu, O. Cirakman, Y. Cui, K. Dai, M. Dasari, Q. Deng, X. Dong, D. Du, M. Dunnhofer, Z. Feng, Z. Feng, Z. Fu, S. Ge, R. Gorthi, Y. Gu, B. Günsel, Q. Guo, F. Gurkan, W. Han, Y. Huang, F. Lawin, S. Jhang, R. Ji, C. Jiang, Y. Jiang, F. Juefei-Xu, J. Yin, X. Ke, F. Khan, B. Kim, J. Kittler, X. Lan, J. Lee, B. Leibe, H. Li, J. Li, X. Li, Y. Li, B. Liu, C. Liu, J. Liu, L. Liu, Q. Liu, H. Lu, W. Lu, J. Luiten, J. Ma, Z. Ma, N. Martinel, C. Mayer, A. Memarmoghadam, C. Micheloni, Y. Niu, D. Paudel, H. Peng, S. Qiu, A. Rajiv, M. Rana, A. Robinson, H. Saribas, L. Shao, M. Shehata, F. Shen, J. Shen, K. Simonato, X. Song, Z. Tang, R. Timofte, P. Torr, C. Tsai, B. Uzun, L. Gool, P. Voigtlaender, D. Wang, G. Wang, L. Wang, L. Wang, L. Wang, L. Wang, Y. Wang, Y. Wang, C. Wu, G. Wu, X. Wu, F. Xie, T. Xu, X. Xu, W. Xue, B. Yan, W. Yang, X. Yang, Y. Ye, J. Yin, C. Zhang, C. Zhang, H. Zhang, K. Zhang, K. Zhang, X. Zhang, X. Zhang, X. Zhang, Z. Zhang, S. Zhao, M. Zhen, B. Zhong, J. Zhu, and X. Zhu. ICCVW, page 2711-2738. IEEE, (2021)

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Martin Danelljan

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Synthetic Data Generation for End-to-End Thermal Infrared Tracking.L. Zhang, A. Gonzalez-Garcia, J. van de Weijer, M. Danelljan, and F. Khan. IEEE Trans. Image Process., 28 (4): 1837-1850 (2019)Accurate 3D Object Detection using Energy-Based Models.F. Gustafsson, M. Danelljan, and T. Schön. CoRR, (2020)AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.A. Lugmayr, M. Danelljan, R. Timofte, M. Fritsche, S. Gu, K. Purohit, P. Kandula, M. Suin, A. Rajagopalan, N. Joon and 11 other author(s). CoRR, (2019)AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility.M. Noman, W. Ghallabi, D. Najiha, C. Mayer, A. Dudhane, M. Danelljan, H. Cholakkal, S. Khan, L. Gool, and F. Khan. CoRR, (2022)How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?F. Gustafsson, M. Danelljan, and T. Schön. CoRR, (2023)Dense Gaussian Processes for Few-Shot Segmentation.J. Johnander, J. Edstedt, M. Felsberg, F. Khan, and M. Danelljan. CoRR, (2021)Beyond SOT: It's Time to Track Multiple Generic Objects at Once.C. Mayer, M. Danelljan, M. Yang, V. Ferrari, L. Gool, and A. Kuznetsova. CoRR, (2022)Mask Transfiner for High-Quality Instance Segmentation.L. Ke, M. Danelljan, X. Li, Y. Tai, C. Tang, and F. Yu. CVPR, page 4402-4411. IEEE, (2022)Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences.P. Truong, M. Danelljan, F. Yu, and L. Gool. CVPR, page 8698-8708. IEEE, (2022)NTIRE 2022 Challenge on Learning the Super-Resolution Space.A. Lugmayr, M. Danelljan, R. Timofte, K. Kim, Y. Kim, J. Lee, Z. Li, J. Pan, D. Shim, K. Song and 3 other author(s). CVPR Workshops, page 785-796. IEEE, (2022)

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Disambiguation of "Danelljan, Martin"

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The Ninth Visual Object Tracking VOT2021 Challenge Results.

Please choose a person to relate this publication to

Martin Danelljan

Martin Klug

Martin Brückner

Martin Breitenfeldt

Martin Faes

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Disambiguation

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Disambiguation of "Danelljan, Martin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Ninth Visual Object Tracking VOT2021 Challenge Results.

Please choose a person to relate this publication to

Martin Danelljan

Martin Klug

Martin Brückner

Martin Breitenfeldt

Martin Faes

Other publications of authors with the same name

Disambiguation

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The Ninth Visual Object Tracking VOT2021 Challenge Results.