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


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


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


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


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


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


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


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


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


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


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


       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


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


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


15.06.2021