Christopher Zach | DeepAI

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∙ 04/04/2023

Fully Variational Noise-Contrastive Estimation

By using the underlying theory of proper scoring rules, we design a fami...

0 Christopher Zach, et al. ∙

∙ 02/02/2023

Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons

Activity difference based learning algorithms-such as contrastive Hebbia...

0 Rasmus Høier, et al. ∙

∙ 04/01/2022

Extremely Low-light Image Enhancement with Scene Text Restoration

Deep learning-based methods have made impressive progress in enhancing e...

0 Pohao Hsu, et al. ∙

∙ 12/06/2021

AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks

We propose a new algorithm for training deep neural networks (DNNs) with...

0 Huu Le, et al. ∙

∙ 09/20/2021

BabelCalib: A Universal Approach to Calibrating Central Cameras

Existing calibration methods occasionally fail for large field-of-view c...

1 Yaroslava Lochman, et al. ∙

∙ 05/15/2021

Bilevel Programming and Deep Learning: A Unifying View on Inference Learning Methods

In this work we unify a number of inference learning methods, that are p...

0 Christopher Zach, et al. ∙

∙ 02/22/2021

Escaping Poor Local Minima in Large Scale Robust Estimation

Robust parameter estimation is a crucial task in several 3D computer vis...

0 Huu Le, et al. ∙

∙ 10/21/2020

Progressive Batching for Efficient Non-linear Least Squares

Non-linear least squares solvers are used across a broad range of offlin...

0 Huu Le, et al. ∙

∙ 05/07/2020

Lifted Regression/Reconstruction Networks

In this work we propose lifted regression/reconstruction networks (LRRNs...

1 Rasmus Kjær Høier, et al. ∙

∙ 03/20/2020

A Graduated Filter Method for Large Scale Robust Estimation

Due to the highly non-convex nature of large-scale robust parameter esti...

0 Huu Le, et al. ∙

∙ 03/12/2020

Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning

Optimization problems with an auxiliary latent variable structure in add...

0 Christopher Zach, et al. ∙

∙ 12/10/2019

Learning to generate new indoor scenes

Deep generative models have been used in recent years to learn coherent ...

16 Pulak Purkait, et al. ∙

∙ 06/19/2019

Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss

Three-dimensional object detection from a single view is a challenging t...

10 Eskil Jörgensen, et al. ∙

∙ 06/07/2019

Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions

Semantic segmentation and instance level segmentation made substantial p...

4 Pulak Purkait, et al. ∙

∙ 05/07/2019

Contrastive Learning for Lifted Networks

In this work we address supervised learning via lifted network formulati...

0 Christopher Zach, et al. ∙

∙ 08/10/2018

Weakly supervised learning of indoor geometry by dual warping

A major element of depth perception and 3D understanding is the ability ...

4 Pulak Purkait, et al. ∙

∙ 05/11/2018

ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time

Modern deep learning architectures produce highly accurate results on ma...

0 Rudra P K Poudel, et al. ∙

∙ 03/22/2018

Maximum Consensus Parameter Estimation by Reweighted ℓ_1 Methods

Robust parameter estimation in computer vision is frequently accomplishe...

0 Pulak Purkait, et al. ∙

∙ 12/09/2017

SPP-Net: Deep Absolute Pose Regression with Synthetic Views

Image based localization is one of the important problems in computer vi...

0 Pulak Purkait, et al. ∙

∙ 12/08/2017

Minimal Solvers for Monocular Rolling Shutter Compensation under Ackermann Motion

Modern automotive vehicles are often equipped with a budget commercial r...

0 Pulak Purkait, et al. ∙

∙ 11/12/2014

Multi-modal Image Registration for Correlative Microscopy

Correlative microscopy is a methodology combining the functionality of l...

0 Tian Cao, et al. ∙

∙ 08/14/2013

Compact Relaxations for MAP Inference in Pairwise MRFs with Piecewise Linear Priors

Label assignment problems with large state spaces are important tasks es...

0 Christopher Zach, et al. ∙