15.06.2021

Teaser image to MCML at CVPR 2021

MCML at CVPR 2021

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), June 19–25, 2021, Virtual

{{< announcement conf=“CVPR 2021” conflink=“https://cvpr2021.thecvf.com”>}}

{{< contribution author=“M. Aygun, A. Osep, M. Weber, M. Maximov, C. Stachniss, J. Behley and L. Leal-Taixe” title=“4D panoptic segmentation”>}}

{{< contribution author=“A. Božič, P. Palafox, M. Zollhöfer, J. Thies, A. Dai and M. Nießner” title=“Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction”>}}

{{< contribution author=“D. Z. Chen, A. Gholami, M. Nießner and A. X. Chang” title=“Scan2Cap: Context-aware Dense Captioning in RGB-D Scans”>}}

{{< contribution author=“A. Dai, Y. Siddiqui, J. Thies, J. Valentin and M. Nießner” title=“SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans”>}}

{{< contribution author=“M. Eisenberger, D. Novotny, G. Kerchenbaum, P. Labatut, N. Neverova, D. Cremers and A. Vedaldi” title=“NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go”>}}

{{< contribution author=“G. Gafni, J. Thies, M. Zollhöfer and M. Nießner” title=“Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction”>}}

{{< contribution author=“M. Gao, Z. Lähner, J. Thunberg, D. Cremers and F. Bernard” title=“Isometric Multi-Shape Matching”>}}

{{< contribution author=“J. Hou, B. Graham, M. Nießner and S. Xie” title=“Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts”>}}

{{< contribution author=“A. Khakzar, S. Baselizadeh, S. Khanduja, C. Rupprecht, S. T. Kim and N. Navab” title=“Neural Response Interpretation through the Lens of Critical Pathways” linktext=“PDF” link=“https://openaccess.thecvf.com/content/CVPR2021/papers/Khakzar_Neural_Response_Interpretation_Through_the_Lens_of_Critical_Pathways_CVPR_2021_paper.pdf"&gt;}}

{{< contribution author=“N. Müller, Y.-S. Wong, N. J. Mitra, A. Dai and M. Nießner” title=“Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences”>}}

{{< contribution author=“Y. Nie, J. Hou, X. Han and M. Nießner” title=“RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction”>}}

{{< contribution author=“C. Tomani, S. Gruber, M. E. Erdem, D. Cremers and F. Buettner” title=“Post-hoc Uncertainty Calibration for Domain Drift Scenarios” linktext=“arXiv” link=“https://arxiv.org/abs/2012.10988"&gt;}}

15.06.2021


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