Spyros Gidaris

Orcid: 0000-0003-1515-3635

According to our database1, Spyros Gidaris authored at least 27 papers between 2015 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers.
CoRR, 2023

Revisiting the Distillation of Image Representations into Point Clouds for Autonomous Driving.
CoRR, 2023

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey.
CoRR, 2023

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments.
CoRR, 2023

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis.
Int. J. Comput. Vis., 2022

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Active Learning Strategies for Weakly-Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

What to Hide from Your Students: Attention-Guided Masked Image Modeling.
Proceedings of the Computer Vision - ECCV 2022, 2022

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Localizing Objects with Self-supervised Transformers and no Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning.
CoRR, 2020

Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

QuEST: Quantized Embedding Space for Transferring Knowledge.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Representations by Predicting Bags of Visual Words.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Boosting Few-Shot Visual Learning With Self-Supervision.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Unsupervised Representation Learning by Predicting Image Rotations.
Proceedings of the 6th International Conference on Learning Representations, 2018

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.
Proceedings of the Computer Vision - ECCV 2018, 2018

Dynamic Few-Shot Visual Learning Without Forgetting.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
LocNet: Improving Localization Accuracy for Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Object detection via a multi-region & semantic segmentation-aware CNN model.
CoRR, 2015

Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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