Zakaria Laskar

According to our database1, Zakaria Laskar authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer.
CoRR, 2023

2021
Continual Learning for Image-Based Camera Localization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Digging Into Self-Supervised Learning of Feature Descriptors.
Proceedings of the International Conference on 3D Vision, 2021

2020
Deep Learning Methods for Semantic Matching, Image Retrieval and Camera Relocalization.
PhD thesis, 2020

Geometric Image Correspondence Verification by Dense Pixel Matching.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Data-Efficient Ranking Distillation for Image Retrieval.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Geometric Image Correspondence Verification by Dense Pixel Matching.
CoRR, 2019

Semantic Matching by Weakly Supervised 2D Point Set Registration.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018
Semi-supervised Semantic Matching.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Context Aware Query Image Representation for Particular Object Retrieval.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Robust loop closures for scene reconstruction by combining odometry and visual correspondences.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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