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04/12/2023
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs
We propose VidStyleODE, a spatiotemporally continuous disentangled Video...
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03/23/2023
Chordal Averaging on Flag Manifolds and Its Applications
This paper presents a new, provably-convergent algorithm for computing t...
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11/05/2022
Disentangling Content and Motion for Text-Based Neural Video Manipulation
Giving machines the ability to imagine possible new objects or scenes fr...
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07/13/2022
6D Camera Relocalization in Visually Ambiguous Extreme Environments
We propose a novel method to reliably estimate the pose of a camera give...
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03/23/2022
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization
We present a hybrid classical-quantum framework based on the Frank-Wolfe...
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12/17/2021
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
We propose Point2Cyl, a supervised network transforming a raw 3D point c...
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11/29/2021
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks
Functional maps are efficient representations of shape correspondences, ...
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11/25/2021
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Disobeying the classical wisdom of statistical learning theory, modern d...
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05/10/2021
HuMoR: 3D Human Motion Model for Robust Pose Estimation
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of tem...
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02/17/2021
Weakly Supervised Learning of Rigid 3D Scene Flow
We propose a data-driven scene flow estimation algorithm exploiting the ...
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01/19/2021
Quantum Permutation Synchronization
We present QuantumSync, the first quantum algorithm for solving a synchr...
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12/20/2020
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
In this work, we introduce Deep Bingham Networks (DBN), a generic framew...
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08/06/2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
We propose CaSPR, a method to learn object-centric canonical spatiotempo...
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04/09/2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
We present a multimodal camera relocalization framework that captures am...
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04/02/2020
Deformation-Aware 3D Model Embedding and Retrieval
We introduce a new problem of retrieving 3D models that are deformable t...
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04/01/2020
Synchronizing Probability Measures on Rotations via Optimal Transport
We introduce a new paradigm, measure synchronization, for synchronizing ...
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02/06/2020
Continuous Geodesic Convolutions for Learning on 3D Shapes
The majority of descriptor-based methods for geometric processing of non...
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01/21/2020
From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds
We propose a new method for segmentation-free joint estimation of orthog...
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01/15/2020
Learning multiview 3D point cloud registration
We present a novel, end-to-end learnable, multiview 3D point cloud regis...
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12/27/2019
Quaternion Equivariant Capsule Networks for 3D Point Clouds
We present a 3D capsule architecture for processing of point clouds that...
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04/11/2019
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
We present an entirely new geometric and probabilistic approach to synch...
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04/08/2019
3D Local Features for Direct Pairwise Registration
We present a novel, data driven approach for solving the problem of regi...
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01/04/2019
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits
We present a novel and effective method for detecting 3D primitives in c...
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12/27/2018
3D Point-Capsule Networks
In this paper, we propose 3D point-capsule networks, an auto-encoder des...
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08/30/2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
We present PPF-FoldNet for unsupervised learning of 3D local descriptors...
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05/31/2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
We introduce Tempered Geodesic Markov Chain Monte Carlo (TG-MCMC) algori...
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03/19/2018
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds
This paper proposes a segmentation-free, automatic and efficient procedu...
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02/07/2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
We present PPFNet - Point Pair Feature NETwork for deeply learning a glo...
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05/08/2017
CAD Priors for Accurate and Flexible Instance Reconstruction
We present an efficient and automatic approach for accurate reconstructi...
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03/04/2014
