Lista de obras -

Backpropagation-Friendly Eigendecomposition ⬇️

artículo científico publicado en 2019

Beyond Sharing Weights for Deep Domain Adaptation

artículo científico publicado en 2018

Compression-aware Training of Deep Networks ⬇️

artículo científico publicado en 2017

Deep Subspace Clustering Networks ⬇️

artículo científico publicado en 2017

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods.

artículo científico publicado en 2017

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

artículo científico publicado en 2014

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

artículo científico publicado en 2020

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks ⬇️

artículo científico publicado en 2020

Factorized Latent Spaces with Structured Sparsity ⬇️

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

artículo científico publicado en 2020

Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation ⬇️

Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation

artículo científico

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels ⬇️

artículo científico publicado en 2015

Learning the Number of Neurons in Deep Networks ⬇️

artículo científico publicado en 2016

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

artículo científico publicado en 2024

Linear local models for monocular reconstruction of deformable surfaces.

artículo científico publicado en 2011

Memory Efficient Max Flow for Multi-Label Submodular MRFs

artículo científico publicado en 2018

Mirror Surface Reconstruction from a Single Image

artículo científico publicado en 2015

Monocular 3D reconstruction of locally textured surfaces

artículo científico publicado en 2012

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them ⬇️

Surface deformation models for nonrigid 3D shape recovery

scientific article published on 01 August 2007

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

scientific article published on 09 November 2019

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images

artículo científico publicado en 2019

Lista de obras de

Backpropagation-Friendly Eigendecomposition ⬇️

Beyond Sharing Weights for Deep Domain Adaptation

Compression-aware Training of Deep Networks ⬇️

Deep Subspace Clustering Networks ⬇️

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods.

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks ⬇️

Factorized Latent Spaces with Structured Sparsity ⬇️

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation ⬇️

Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels ⬇️

Learning the Number of Neurons in Deep Networks ⬇️

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

Linear local models for monocular reconstruction of deformable surfaces.

Memory Efficient Max Flow for Multi-Label Submodular MRFs

Mirror Surface Reconstruction from a Single Image

Monocular 3D reconstruction of locally textured surfaces

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them ⬇️

Surface deformation models for nonrigid 3D shape recovery

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images