We propose VidStyleODE, a spatiotemporally continuous disentangled
Video...
This paper presents a new, provably-convergent algorithm for computing t...
Giving machines the ability to imagine possible new objects or scenes fr...
We propose a novel method to reliably estimate the pose of a camera give...
We present a hybrid classical-quantum framework based on the Frank-Wolfe...
We propose Point2Cyl, a supervised network transforming a raw 3D point c...
Functional maps are efficient representations of shape correspondences, ...
Disobeying the classical wisdom of statistical learning theory, modern d...
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of tem...
We propose a data-driven scene flow estimation algorithm exploiting the
...
We present QuantumSync, the first quantum algorithm for solving a
synchr...
In this work, we introduce Deep Bingham Networks (DBN), a generic framew...
We propose CaSPR, a method to learn object-centric canonical spatiotempo...
We present a multimodal camera relocalization framework that captures
am...
We introduce a new problem of retrieving 3D models that are deformable t...
We introduce a new paradigm, measure synchronization, for
synchronizing ...
The majority of descriptor-based methods for geometric processing of
non...
We propose a new method for segmentation-free joint estimation of orthog...
We present a novel, end-to-end learnable, multiview 3D point cloud
regis...
We present a 3D capsule architecture for processing of point clouds that...
We present an entirely new geometric and probabilistic approach to
synch...
We present a novel, data driven approach for solving the problem of
regi...
We present a novel and effective method for detecting 3D primitives in
c...
In this paper, we propose 3D point-capsule networks, an auto-encoder des...
We present PPF-FoldNet for unsupervised learning of 3D local descriptors...
We introduce Tempered Geodesic Markov Chain Monte Carlo (TG-MCMC) algori...
This paper proposes a segmentation-free, automatic and efficient procedu...
We present PPFNet - Point Pair Feature NETwork for deeply learning a glo...
We present an efficient and automatic approach for accurate reconstructi...
Vectorization of images is a key concern uniting computer graphics and
c...