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07/10/2022
Depth Perspective-aware Multiple Object Tracking
This paper aims to tackle Multiple Object Tracking (MOT), an important p...
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02/21/2022
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration
With current trends in sensors (cheaper, more volume of data) and applic...
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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...
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06/12/2021
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer...
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03/05/2021
Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach
Robust model fitting is a core algorithm in a large number of computer v...
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02/22/2021
Escaping Poor Local Minima in Large Scale Robust Estimation
Robust parameter estimation is a crucial task in several 3D computer vis...
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10/21/2020
Progressive Batching for Efficient Non-linear Least Squares
Non-linear least squares solvers are used across a broad range of offlin...
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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...
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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...
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06/27/2019
BTEL: A Binary Tree Encoding Approach for Visual Localization
Visual localization algorithms have achieved significant improvements in...
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04/24/2019
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning
Representing images by compact hash codes is an attractive approach for ...
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04/06/2019
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences
This paper presents a novel randomized algorithm for robust point cloud ...
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02/05/2019
SASSE: Scalable and Adaptable 6-DOF Pose Estimation
Visual localization has become a key enabling component of many place re...
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10/24/2018
A Binary Optimization Approach for Constrained K-Means Clustering
K-Means clustering still plays an important role in many computer vision...
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10/23/2018
Large scale visual place recognition with sub-linear storage growth
Robotic and animal mapping systems share many of the same objectives and...
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07/25/2018
Deterministic consensus maximization with biconvex programming
Consensus maximization is one of the most widely used robust fitting par...
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10/27/2017
