MCML at the CVPR 2021 Conference

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

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We are happy to announce that MCML researchers are represented with the following paper(s) at CVPR 2021:

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4D panoptic segmentation.
M. Aygun, A. Osep, M. Weber, M. Maximov, C. Stachniss, J. Behley and L. Leal-Taixe.

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Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction.
A. Božič, P. Palafox, M. Zollhöfer, J. Thies, A. Dai and M. Nießner.

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Scan2Cap: Context-aware Dense Captioning in RGB-D Scans.
D. Z. Chen, A. Gholami, M. Nießner and A. X. Chang.

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SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans.
A. Dai, Y. Siddiqui, J. Thies, J. Valentin and M. Nießner.

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NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go.
M. Eisenberger, D. Novotny, G. Kerchenbaum, P. Labatut, N. Neverova, D. Cremers and A. Vedaldi.

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Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction.
G. Gafni, J. Thies, M. Zollhöfer and M. Nießner.

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Isometric Multi-Shape Matching.
M. Gao, Z. Lähner, J. Thunberg, D. Cremers and F. Bernard.

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Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts.
J. Hou, B. Graham, M. Nießner and S. Xie.

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Neural Response Interpretation through the Lens of Critical Pathways.
A. Khakzar, S. Baselizadeh, S. Khanduja, C. Rupprecht, S. T. Kim and N. Navab. PDF

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Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences.
N. Müller, Y.-S. Wong, N. J. Mitra, A. Dai and M. Nießner.

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RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction.
Y. Nie, J. Hou, X. Han and M. Nießner.

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Post-hoc Uncertainty Calibration for Domain Drift Scenarios.
C. Tomani, S. Gruber, M. E. Erdem, D. Cremers and F. Buettner. arXiv

15.06.2021