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.
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.